<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.14771.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Women's groups, covariate shocks, and resilience: An evidence synthesis of past shocks to inform a response to COVID-19</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Walcott</surname>
                        <given-names>Rebecca</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5841-3022</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Schmidt</surname>
                        <given-names>Carly</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kaminsky</surname>
                        <given-names>Marina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Singh</surname>
                        <given-names>Roopal Jyoti</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Anderson</surname>
                        <given-names>Leigh</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Desai</surname>
                        <given-names>Sapna</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>de Hoop</surname>
                        <given-names>Thomas</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0033-1139</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>American Institutes for Research, Arlington, Virginia, USA</aff>
                <aff id="a2">
                    <label>2</label>State of Washington, Olympia, WA, USA</aff>
                <aff id="a3">
                    <label>3</label>North Star Civic Foundation, Portland, OR, USA</aff>
                <aff id="a4">
                    <label>4</label>Population Council Institute, New Delhi, India</aff>
                <aff id="a5">
                    <label>5</label>University of Washington, Seattle, Washington, USA</aff>
                <aff id="a6">
                    <label>6</label>Population Council India, New Delhi, Delhi, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:rwalcott@air.org">rwalcott@air.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>7</volume>
            <elocation-id>111</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>5</day>
                    <month>7</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Walcott R et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/7-111/pdf"/>
            <abstract>
                <p>
                    <italic toggle="yes">Background:</italic> Interventions with women&#x2019;s groups are increasingly seen as an important strategy for advancing women&#x2019;s empowerment, health, and economic outcomes in low- and middle-income countries, with the potential to increase the resiliency of members and their communities during widespread covariate shocks, such as coronavirus disease 2019 (COVID-19).</p>
                <p>
                    <italic toggle="yes">Methods:</italic> This evidence synthesis compiles evidence from past shocks on women&#x2019;s group activities and the extent to which women&#x2019;s groups mitigate the effects of shocks on members and communities. We reviewed 90 documents from academic databases, organizational reports, and additional gray literature, and included literature diverse in geography, type of women&#x2019;s group, and shock.</p>
                <p>
                    <italic toggle="yes">Results:</italic> The literature suggests that covariate shocks tend to disrupt group activities and reduce group resources, but linkages to formal institutions can mitigate this impact by extending credit beyond the shock-affected resource pool. Evidence was largely supportive of women&#x2019;s groups providing resilience to members and communities, though findings varied according to shock severity, group purpose and structure, and outcome measures. Further, actions to support individual resilience during a shock, such as increased payment flexibility, may run counter to group resilience. The findings of the evidence synthesis are largely consistent with emerging evidence about women&#x2019;s groups and COVID-19 in South Asia and sub-Saharan Africa.</p>
                <p>
                    <italic toggle="yes">Conclusions:</italic> We finalize the paper with a discussion on policy implications, including the importance of sustainable access to financial resources for women&#x2019;s group members; equity considerations surrounding the distribution of group benefits and burdens; and the potential for meaningful partnerships between women&#x2019;s groups and local governments and/or non-governmental organizations (NGOs) to enhance community response amidst crises.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Women&#x2019;s groups</kwd>
                <kwd>Covariate shock</kwd>
                <kwd>Resilience</kwd>
                <kwd>Evidence synthesis</kwd>
                <kwd>COVID-19</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100000865">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>OPP1201417</award-id>
                </award-group>
                <funding-statement>This work was supported by the Gates Foundation [OPP1201417].</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Interventions with women&#x2019;s groups are increasingly recognized as an important strategy for advancing women&#x2019;s empowerment, health, and economic outcomes in low- and middle-income countries (LMICs). 
                <italic toggle="yes">Women&#x2019;s groups</italic> is an umbrella term commonly used to refer to different models of groups whose membership is primarily female. Objectives of women&#x2019;s groups may include promoting financial inclusion and women&#x2019;s economic empowerment, organizing workers in the informal sector, and improving health outcomes among group members and their communities.</p>
            <p>The coronavirus disease 2019 (COVID-19) crisis has highlighted that while acute covariate shocks pose unique challenges for women and women&#x2019;s groups, women&#x2019;s groups may provide members and their communities with tools to increase their resiliency to crises (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-25">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2020</xref>).
                <sup>
                    <xref ref-type="other" rid="FN1">1</xref>
                </sup> For example, women&#x2019;s groups can offer an immediate support network for members through mechanisms such as pooled resources and social capital. Groups can adapt their in-place human infrastructure to play a key role in community responses to shocks by disseminating important information, contributing to crisis responses by providing necessary household and community services, and helping members obtain access to social protection. In the case of COVID-19, Indian self-help groups (SHGs) and savings groups in sub-Saharan Africa also contributed to producing masks, operating community kitchens, and running help desks (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-25">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2020</xref>; 
                <xref ref-type="bibr" rid="ref-26">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2021</xref>).</p>
            <p>This evidence synthesis contributes to the existing literature by compiling evidence of how shocks affected women&#x2019;s groups and their members prior to the COVID-19 crisis. We first examine how these shocks affected the implementation and activities of women&#x2019;s groups in LMICs. Next, we examine the extent to which women&#x2019;s groups promoted resilience for their members and communities. Previous evidence from systematic reviews and impact evaluations suggests that women&#x2019;s groups with economic objectives, such as SHGs in India and savings groups in sub-Saharan Africa, can achieve positive effects on women&#x2019;s empowerment and economic outcomes (
                <italic toggle="yes">e.g.,</italic> 
                <xref ref-type="bibr" rid="ref-91">Barooah 
                    <italic toggle="yes">et al.,</italic> 2020</xref>; 
                <xref ref-type="bibr" rid="ref-92">Brody 
                    <italic toggle="yes">et al.,</italic> 2017</xref>). However, it is unclear whether these findings can be extrapolated to contexts experiencing covariate shocks or to the COVID-19 crisis in particular because social distancing may limit the opportunities of groups to meet (
                <xref ref-type="bibr" rid="ref-25">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2020</xref>).</p>
            <p>Overall, the evidence revealed that covariate shocks tend to disrupt group activities and reduce group resources, but women&#x2019;s groups can support the resilience of members and communities - though findings varied across contexts. However, for economic groups in particular, this improved resilience may come at the expense of group resources, indicating a trade-off between member resilience and group sustainability. For example, actions to support individual resilience during a shock, such as increased payment flexibility, may threaten group sustainability by depleting group resources. The evidence further indicates that linkages to formal institutions can mitigate negative effects on group resilience by providing credit beyond the shock-affected resource pool. These findings are largely consistent with emerging evidence on women&#x2019;s groups and COVID-19 (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-93">Agarwal, 2021</xref>; 
                <xref ref-type="bibr" rid="ref-26">de Hoop 
                    <italic toggle="yes">et al.</italic>, 2021</xref>; 
                <xref ref-type="bibr" rid="ref-71">Siwach 
                    <italic toggle="yes">et al.</italic>, 2023</xref>), indicating that this evidence synthesis can provide important lessons for policy responses to COVID-19 in South Asia and sub-Saharan Africa. </p>
            <sec>
                <title>Women&#x2019;s groups and resilience</title>
                <p>There are many different models of women&#x2019;s groups, and they vary in terms of organizing objective, function, size, governance, and linkages to formal institutions (
                    <xref ref-type="bibr" rid="ref-31">Desai 
                        <italic toggle="yes">et al.,</italic> 2022</xref>). Groups with economic objectives, such as SHGs, village savings and loan associations (VSLAs), and rotating credit and savings associations (ROSCAs), are formed to promote savings and pool funds from which members can borrow. Other types of groups may focus on health, agriculture, advocacy, or community resource management &#x2013; or a particular population group such as mothers, sexual violence survivors, or adolescent girls. Women&#x2019;s groups may be standalone village or urban groups or regional network associations of groups. They may operate independently or with the support of non-governmental organizations (NGOs) and/or formal financial institutions.</p>
                <p>This broad definition of women&#x2019;s groups enables an inclusive review of the evidence, but such breadth may mask important differences that limit cross-group comparisons. For example, a savings group might play a very different role than a community resource management group when responding to a particular shock. However, despite differing in function and form, most women&#x2019;s groups, even as broadly defined, share some characteristics that allow for examining variation in the relationship of women&#x2019;s groups to shocks across contexts.</p>
                <p>We conceptualize resilience, our primary outcome of interest, along three dimensions: an 
                    <italic toggle="yes">absorptive capacity</italic> that refers to the ability to cope with or absorb shocks; an 
                    <italic toggle="yes">adaptive capacity</italic> that includes learning and strategic adjustments to mitigate the effects of shocks; and a 
                    <italic toggle="yes">transformative capacity</italic> that involves a systemic adjustment to the status quo that reduces vulnerability to shocks (
                    <xref ref-type="bibr" rid="ref-10">Bene 
                        <italic toggle="yes">et al.,</italic> 2015</xref>; 
                    <xref ref-type="bibr" rid="ref-74">Tanner 
                        <italic toggle="yes">et al.,</italic> 2017</xref>; 
                    <xref ref-type="bibr" rid="ref-77">Vaughan &amp; Frankenberger, 2018</xref>). Individual resilience can refer to individual coping mechanisms and adjustments in various domains, including food security, consumption smoothing and savings, income and employment, psychological outcomes, and health outcomes. Group resilience can refer to the short-term ability of the group to continue functioning as before the shock or to the group&#x2019;s ability to adapt to the shock, and to the longer-term ability of the group to continue functioning or group sustainability. There are many theorized mechanisms through which women&#x2019;s groups can enhance resilience for members in the face of covariate shocks (
                    <xref ref-type="bibr" rid="ref-18">CARE, 2015</xref>; 
                    <xref ref-type="bibr" rid="ref-32">Diaz-Martin 
                        <italic toggle="yes">et al.,</italic> 2023</xref>; 
                    <xref ref-type="bibr" rid="ref-45">Gram 
                        <italic toggle="yes">et al.,</italic> 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-77">Vaughan &amp; Frankenberger, 2018</xref>; 
                    <xref ref-type="bibr" rid="ref-78">Weing&#x00e4;rtner 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). Financial mechanisms that serve to increase members&#x2019; absorptive capacity include pooling risk and resources, social commitment to savings, and potential access to formal financial services through group linkages. For example, a VSLA or SHG may provide members with savings and credit with which to absorb the economic losses resulting from a rainfall shock (
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). Social support mechanisms may enhance members&#x2019; psychological resilience to shocks (
                    <xref ref-type="bibr" rid="ref-13">Berry, 2015</xref>; 
                    <xref ref-type="bibr" rid="ref-76">Tol 
                        <italic toggle="yes">et al.,</italic> 2020</xref>). Some groups facilitate learning and technical skills, such as water, sanitation, and hygiene training, and this access to new information may strengthen members&#x2019; adaptive capacity when faced with waterborne disease outbreaks (
                    <xref ref-type="bibr" rid="ref-53">Khatibi 
                        <italic toggle="yes">et al.,</italic> 2011</xref>). Similarly, groups provide access to information networks that enable members to adopt livelihood diversification strategies to smooth household income during shocks (
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>). Mechanisms such as collective action and group bargaining power can contribute to transformative capacity when women&#x2019;s groups mobilize for system-level change, such as for more inclusive disaster response policy (
                    <xref ref-type="bibr" rid="ref-22">Clissold 
                        <italic toggle="yes">et al.,</italic> 2020</xref>; 
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>).</p>
                <p>Our examination of both individual and group resilience highlights the existence of a possible tension between strategies that promote the resilience of groups (
                    <italic toggle="yes">i.e.,</italic> the group functioning and infrastructure withstanding the shock) and the resilience of group members (
                    <italic toggle="yes">i.e.,</italic> individual group members withstanding the shock). While the three resilience capacities discussed above (absorptive, adaptive and transformative capacity) offer a helpful background framework for categorising individual resilience, we find that evidence is largely reported in terms of absorptive capacity for individuals; that is, the literature on women&#x2019;s groups and resilience tends to prioritize individual or household outcome measures of consumption smoothing attributable to pooled resources and access to credit. We also find a lack of discussion around mechanisms of group resilience, particularly in the case of aggregate shocks that may threaten group sustainability. In our discussion of the evidence, we distinguish between results related to the ways in which covariate shocks may affect women&#x2019;s groups and how groups may adapt policies or activities to sustain 
                    <italic toggle="yes">group</italic> resilience (in Section 
                    <italic toggle="yes">How do Shocks Affect Women&#x2019;s Groups?</italic>) and results examining evidence pertaining to 
                    <italic toggle="yes">individual</italic> (or household) resilience (in Section 
                    <italic toggle="yes">How Do Women&#x2019;s Groups Mitigate the Effects of Shocks for Members?</italic>).</p>
                <p>This review was motivated by the COVID-19 crisis, and accordingly focuses specifically on member and group resilience to acute covariate shocks. These shocks include natural disasters, disease outbreaks, conflict, economic crises, and other events that have the potential to negatively affect all members of a group simultaneously. Because of the focus on mechanisms specific to covariate shocks, such as natural disasters or COVID-19, we did not examine group members&#x2019; resilience to idiosyncratic shocks that affect members at the individual level, such as the death of a household member, or to chronic stressors such as poverty or endemic disease.</p>
            </sec>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>We examine both immediate and longer-term effects of covariate shocks on women&#x2019;s groups and their members. In this way we add to existing evidence about the short-term effects of COVID-19 on SHG savings in India (
                <xref ref-type="bibr" rid="ref-71">Siwach 
                    <italic toggle="yes">et al.</italic>, 2023</xref>) and how SHGs in India and savings groups in Nigeria may have contributed to mitigating some of the negative short-term effects of COVID-19 on agricultural productivity, consumption, and food security (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-93">Agarwal, 2021</xref>; 
                <xref ref-type="bibr" rid="ref-26">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2021</xref>). Triangulating the findings from those studies with the findings from the evidence synthesis allows for learning about the potential longer-term effects of COVID-19 on women&#x2019;s groups and their members. Our evidence synthesis is derived from academic databases, organizational reports, and additional gray literature. Using a targeted search strategy, we extracted 90 total documents from over 2800 search results.</p>
            <p>We conducted an evidence synthesis of the literature on women&#x2019;s groups and acute covariate shocks with three primary research questions in mind:</p>
            <list list-type="bullet">
                <list-item>
                    <label>i. </label>
                    <p>How do shocks affect women&#x2019;s groups? That is, to what extent do shocks affect group resources and activities; how do women&#x2019;s groups adapt to shocks; and what implementation features contribute to group resilience during shocks?</p>
                </list-item>
                <list-item>
                    <label>ii. </label>
                    <p>How do women&#x2019;s groups mitigate the effects of shocks for members? That is, to what extent do women&#x2019;s groups increase the resilience of their members to shocks; what is the variation by shock, group type, and mechanism?</p>
                </list-item>
                <list-item>
                    <label>iii. </label>
                    <p>How do women&#x2019;s groups support community responses to shocks?</p>
                </list-item>
            </list>
            <p>Our search strategy aimed to identify, consolidate, and synthesize existing evidence on the impact of shocks on women&#x2019;s groups and the ability of women&#x2019;s groups to mitigate the effects of shocks for their members and their communities. We searched both peer-reviewed literature in academic databases and gray literature for case studies, evaluations, and other evidence on women&#x2019;s groups and shocks. We searched the following databases for literature in English:</p>
            <list list-type="bullet">
                <list-item>
                    <p>Academic databases (peer-reviewed and gray literature): 
                        <ext-link ext-link-type="uri" xlink:href="https://scholar.google.com/">Google Scholar</ext-link>, 
                        <ext-link ext-link-type="uri" xlink:href="https://www.scopus.com/home.uri">Scopus</ext-link>, 
                        <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/">PubMed</ext-link>, 
                        <ext-link ext-link-type="uri" xlink:href="https://www.aeaweb.org/econlit/">EconLit</ext-link>, 
                        <ext-link ext-link-type="uri" xlink:href="https://www.embase.com/landing?status=grey">Embase</ext-link>, 
                        <ext-link ext-link-type="uri" xlink:href="https://about.proquest.com/en/products-services/paisarc-set-c/">PAIS</ext-link>
                    </p>
                </list-item>
                <list-item>
                    <p>Organization websites and databases: 
                        <ext-link ext-link-type="uri" xlink:href="https://www.unwomen.org/en/resources">UN Development Fund for Women</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://dspace.bracu.ac.bd/xmlui/">BRAC Institutional Repository</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://elibrary.worldbank.org/">World Bank E-Library</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://popcouncil.org/publications-library/">Population Council</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://www.care-international.org/resources">CARE</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://www.womenforwomen.org/monitoring-evaluation-research-and-learning-resource-library">Women for Women International</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://www.africaportal.org/">Africa Portal Research Library</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://womensgroupevidence.org/evidence-repository">Evidence Consortium on Women&#x2019;s Groups Evidence Repository</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://www.3ieimpact.org/evidence-hub">3ie Evidence Hub</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="https://apps.who.int/iris/">WHO IRIS</ext-link>; 
                        <ext-link ext-link-type="uri" xlink:href="http://brlps.in/">India&#x2019;s National Rural Livelihoods Mission</ext-link>
                    </p>
                </list-item>
            </list>
            <p>We constructed search strings from keyword components for women&#x2019;s groups and a variety of shocks. We incorporated both general and highly specific search strings to return a comprehensive list of search results. We employed search strings in both the academic databases and organization websites listed above and supplemented our results with targeted Google searches and forward/backward searching within the reference lists of relevant articles.</p>
            <p>Our search process included academic databases of peer-reviewed articles as well as targeted searches of organizational reports, news articles, blog posts, and additional gray literature. From June to August 2020, we reviewed over 2800 search results and included 90 documents that: i) met our definitions of women&#x2019;s groups and shocks, ii) were set in a LMIC and published in 1999 or later, iii) were written in English, and iv) addressed at least one of our research questions. After building the sample of included literature to review, we extracted information on the document type, geography, women&#x2019;s group, shock, and content relevant to our research questions using a coding spreadsheet. Empirical studies were coded in 
                <ext-link ext-link-type="uri" xlink:href="https://www.microsoft.com/en-us/microsoft-365/excel">Microsoft Excel</ext-link> according to research design and methodology, but we did not apply a comprehensive risk of bias assessment to appraise the quality of the evidence. The coding spreadsheet is available in 
                <xref ref-type="table" rid="T1">Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Included evidence (n=90).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Citation</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Document 
                                <break/>type</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Study type</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Region</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Country</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Women's
                                <break/> group</th>
                            <th align="left" colspan="1" rowspan="1" valign="bottom">Shock</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ahmed, D. (1999). Vegetable growers of BRAC and flood 1998:
                                <break/> a case study of a village organization in Gaibandha district.
                                <break/> Experiences of Deluge: Flood 1998, 77.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bangladesh</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Microfinance 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural
                                <break/> - Bangladesh
                                <break/> floods 1998</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Alam, K., &amp; Rahman, M. H. (2017). The role of women in disaster 
                                <break/>resilience. Handbook of disaster risk reduction and management. 
                                <break/>World Scientific Press, New Jersey, 697&#x2013;719.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India, Jamaica, Japan, 
                                <break/>Nicaragua, Mexico</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Various</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Anaandan, S. (2018). Kerala floods: Kudumbashree women play big
                                <break/> role in clean-up. The Hindu. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">News Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Kerala
                                <break/> Floods 2018</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Androsik, A. (2020). Gendered understanding of ebola crisis in
                                <break/> Sierra Leone. Lessons for covid-19. Population and Economics,
                                <break/> 4(2), 88&#x2013;95. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ashraf, N., Gin&#x00e9;, X., &amp; Karlan, D. (2009). Finding missing markets
                                <break/> (and a disturbing epilogue): Evidence from an export crop 
                                <break/>adoption and marketing intervention in Kenya. American Journal of 
                                <break/>Agricultural Economics, 91(4), 973&#x2013;990. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - 
                                <break/>Change in export
                                <break/> policy</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Atela, J., Gannon, K. E. and Crick, F. (2018). Climate change
                                <break/> adaptation among female-led micro, small and medium
                                <break/> enterprises in semi- arid areas: A case study from Kenya.&#x2019;, in Leal 
                                <break/>Filho, W. (ed.) Handbook of Climate Change Resilience. Cham:
                                <break/> Springer, pp. 1&#x2013;18. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Climate
                                <break/> shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bahadur, A., Lovell, E., &amp; Pichon, F. (2016). Effectiveness in building 
                                <break/>resilience: Synthesis report for Oxfam's resilience outcome area.
                                <break/> Oxfam Research Reports. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Senegal</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Climate
                                <break/> amd weather 
                                <break/>shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bandiera, O., Buehren, N., Goldstein, M. P., Rasul, I., &amp; Smurra, A.
                                <break/> (2019). The Economic lives of young women in the time of ebola: 
                                <break/>Lessons from an empowerment program. The World Bank.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Working Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">ELA and other 
                                <break/>adolescent girls 
                                <break/>groups</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bandiera, O., Buehren, N., Goldstein, M., Rasul, I., &amp; Smurra, A.
                                <break/> (2020). Do school closures during an epidemic have persistent
                                <break/> effects? Evidence from Sierra Leone in the time of ebola. Working
                                <break/> Paper - Poverty Action Lab. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Working Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">ELA and other
                                <break/> adolescent girls
                                <break/> groups</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">BARA &amp; IPA. (2013). Final impact evaluation of the saving for 
                                <break/>change program in Mali, 2009&#x2013;2012. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mali</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple - lean 
                                <break/>season, drought,
                                <break/> livestock disease, 
                                <break/>conflict</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bass, J., Murray, S., Cole, G., Bolton, P., Poulton, C., Robinette, K.,
                                <break/> &#x2026; Annan, J. (2016). Economic, social and mental health impacts 
                                <break/>of an economic intervention for female sexual violence survivors 
                                <break/>in Eastern Democratic Republic of Congo. Global Mental Health, 
                                <break/>3(19). </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">DRC</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict
                                <break/> - Persistent 
                                <break/>conflict and 
                                <break/>mass sexual 
                                <break/>violence</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Benni, N., &amp; Barkataky, R. (2018). The role of the Self Employed
                                <break/> Women&#x2019;s Association (SEWA) in providing financial services to rural 
                                <break/>women. FAO. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Earthquake</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bermudez, L., &amp; Matuszeski, J. (2010). Ensuring continued success: 
                                <break/>Saving for change in older program areas of Mali. Oxfam America. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mali</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Rainfall 
                                <break/>shock</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Berry, M. E. (2015). From violence to mobilization: Women, war, and 
                                <break/>threat in Rwanda. Mobilization: An International Quarterly, 20(2),
                                <break/> 135&#x2013;156. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Rwanda</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict -
                                <break/> Genocide</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Branco, A. de M. (2009). Women responding to drought in Brazil. 
                                <break/>In Women, Gender and Disaster: Global Issues and Initiatives
                                <break/> (pp. 261&#x2013;272). SAGE Publications India Pvt Ltd. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Latin
                                <break/> America and
                                <break/> Caribbean</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Brazil</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Collective
                                <break/> Action and
                                <break/> Grassroots 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Brickman Raredon, A. (2011). Opportunity in Haiti: Women as
                                <break/> agents of resilience in post-disaster reconstruction [Thesis,
                                <break/> Massachusetts Institute of Technology]. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Thesis</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed
                                <break/> Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Latin 
                                <break/>America and 
                                <break/>Caribbean</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Haiti</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural -
                                <break/> Earthquake</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Brownhill, L. (2009). A climate for change: Humanitarian disaster
                                <break/> and the movement for the commons in Kenya. In Women, Gender 
                                <break/>and Disaster: Global Issues and Initiatives (pp. 224&#x2013;232). SAGE
                                <break/> Publications India Pvt Ltd. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Social 
                                <break/>Unrest</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Brunie, A., Fumagalli, L., Martin, T., Field, S., &amp; Rutherford, D. (2014).
                                <break/> Can village savings and loan groups be a potential tool in the 
                                <break/>malnutrition fight? Mixed method findings from Mozambique.
                                <break/> Children and Youth Services Review, 47, 113&#x2013;120. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mozambique</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Hunger
                                <break/> Season</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Buehren, N., Chakravarty, S., Goldstein, M., Slavchevska, V., &amp; 
                                <break/>Sulaiman, M. (2017). Adolescent girls&#x2019; empowerment in conflict-
                                <break/>affected settings: Experimental evidence from South Sudan. CSAE 
                                <break/>Conference Paper. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conference
                                <break/> Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Sudan</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">ELA and other 
                                <break/>adolescent girls
                                <break/> groups</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Ethnic
                                <break/> conflict</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Camara, S., Delamou, A., Millimouno, T. M., Kourouma, K., Ndiaye,
                                <break/> B., &amp; Thiam, S. (2020). Community response to the Ebola outbreak:
                                <break/> Contribution of community-based organisations and community
                                <break/> leaders in four health districts in Guinea. Global Public Health,
                                <break/> 1&#x2013;11. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Guinea</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CARE (2015). Resilience champions: when women contribute to
                                <break/> the resilience of communities in the Sahel through savings and
                                <break/> community-based adaptation. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Niger, Mali</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple - 
                                <break/>Various</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Care. (2020). Learning Brief: VSLA and CARE Adaptations to
                                <break/> COVID-19 and Past Crises. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Benin, Burundi, 
                                <break/>Democratic Republic
                                <break/> of the Congo, 
                                <break/>Mozambique, Niger,
                                <break/> Nigeria, Rwanda, 
                                <break/>Tanzania, Uganda, 
                                <break/>Haiti, Chad, Mali,
                                <break/> Sierra Leone, Somalia, 
                                <break/>Bangladesh, Ethiopia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - 
                                <break/>Covid-19, Ebola, 
                                <break/>HIV</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Christian, P., Kandpal, E., Palaniswamy, N., &amp; Rao, V. (2019). Safety
                                <break/> nets and natural disaster mitigation: evidence from cyclone Phailin
                                <break/> in Odisha. Climatic Change, 153(1&#x2013;2), 141&#x2013;164. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Flood</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Clissold, R., Westoby, R., &amp; McNamara, K. E. (2020). Women as
                                <break/> recovery enablers in the face of disasters in Vanuatu. Geoforum, 
                                <break/>113, 101&#x2013;110. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Vanuatu</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Cyclone</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Coppock, D. L., &amp; Desta, S. (2013). Collective action, innovation,
                                <break/> and wealth generation among settled pastoral women in northern
                                <break/> Kenya. Rangeland Ecology &amp; Management, 66(1), 95&#x2013;105. JSTOR. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Corbin, J. N., &amp; Hall, J. C. (2019). Resettlement post conflict: Risk
                                <break/> and protective factors and resilience among women in northern 
                                <break/>Uganda. International Social Work, 62(2), 918&#x2013;932. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Uganda</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict
                                <break/> - Violence; 
                                <break/>displacement</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Darychuk, A., &amp; Jackson, S. (2015). Understanding community
                                <break/> resilience through the accounts of women living in west bank 
                                <break/>refugee camps. Affilia, 30(4), 447&#x2013;460. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Middle East/
                                <break/>North Africa
                                <break/> (MENA)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Palestine</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict 
                                <break/>- Violence;
                                <break/> displacement</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">De, S. (2011). The whims of indian monsoons: Long-term health 
                                <break/>consequences of early childhood exposure to the indian drought 
                                <break/>of 2002. Young Lives Student Paper. Retrieved from: </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Thesis</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Deepa, T. M., Rao, E. V., Patil, R. R., &amp; Samuel, R. (2008). Operational 
                                <break/>feasibility of establishing community reporting systems. National 
                                <break/>Medical Journal of India, 21(4), 166&#x2013;170.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed
                                <break/> Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health 
                                <break/>- Infectious 
                                <break/>diseases</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Demont, T. (2013). Poverty, access to credit and absorption of 
                                <break/>weather shocks: evidence from Indian self-help groups. CRED
                                <break/> working paper. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Working Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Rainfall 
                                <break/>shock</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Demont, T. (2022). Coping with shocks: How self-help groups
                                <break/> impact food security and migration. World Development, 155, 
                                <break/>105892</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Rainfall 
                                <break/>shock</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Dumas, T. (2016). Mitigating the impact of the ebola virus disease
                                <break/> on the most vulnerable households through an integrated food 
                                <break/>and nutrition security intervention in the district of Moyamba, 
                                <break/>Sierra Leone.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Enarson, E. (2001). We want work: Rural women in the Gujarat
                                <break/> drought and earthquake. Natural Hazards Research and 
                                <break/>Applications Information Center. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Working Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural 
                                <break/>- Earthquake, 
                                <break/>drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Enarson, E., Fothergill, A., &amp; Peek, L. (2007). Gender and disaster: 
                                <break/>Foundations and directions. In H. Rodr&#x00ed;guez, E. L. Quarantelli, &amp; 
                                <break/>R. R. Dynes (Eds.), Handbook of Disaster Research (pp. 130&#x2013;146). 
                                <break/>Springer. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Collective 
                                <break/>Action and 
                                <break/>Grassroots
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Disaster</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Falk, M.L. (2014) Gender and Buddhism in the wake of the tsunami.
                                <break/> In: Liamputtong P. (eds) Contemporary Socio-Cultural and Political 
                                <break/>Perspectives in Thailand. Springer, Dordrecht. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Thailand</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">F&#x00e9;ron, &#x00c9;. (2020). Reinventing conflict prevention? Women and
                                <break/> the prevention of the reemergence of conflict in Burundi. Conflict 
                                <break/>Resolution Quarterly, 37(3). </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Burundi</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Political 
                                <break/>unrest, violence, 
                                <break/>displacement</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Fisher, S. (2009). Sri Lankan women&#x2019;s organisations responding to
                                <break/> post-tsunami violence. In Women, Gender and Disaster: Global
                                <break/> Issues and Initiatives (pp. 233&#x2013;249). SAGE Publications India Pvt
                                <break/> Ltd. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sri Lanka</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Fordham, M., Gupta, S., Akerkar, S., &amp; Scharf, M. (2011). Leading 
                                <break/>resilient development: Grassroots women's priorities, practices and 
                                <break/>innovations. United Nations Development Programme (UNDP). </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Honduras, India, 
                                <break/>Philippines, Turkey, Sri
                                <break/> Lanka</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Various 
                                <break/>(hurricane, 
                                <break/>tsunami, floods,
                                <break/> earthquake)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Garikipati, S. (2008). The impact of lending to women on household
                                <break/> vulnerability and women&#x2019;s empowerment: Evidence from India. 
                                <break/>World Development, 36(12), 2620&#x2013;2642. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Gash, M., &amp; Gray, B. (2016). The role of financial services in building
                                <break/> household resilience in Burkina Faso. CGAP Clients at the Center. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Working Paper</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Burkina Faso</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - 
                                <break/>Harvest-related 
                                <break/>economic shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ghosh (2019). After cyclone Fani, women in a migrant fishing 
                                <break/>community start resilience fund. Mongabay Series: Environment
                                <break/> and Her.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Blog</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Cyclone
                                <break/> Fani</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Govt. of Odisha, UN, World Bank, Asian Development Bank (2019). 
                                <break/>Damage, loss and needs assessment: Odisha (India). </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Cyclone
                                <break/> Fani</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Gupta, S., &amp; Leung, I. S. (2011). Turning good practice into
                                <break/> institutional mechanisms: Investing in grassroots women's
                                <break/> leadership to scale up local implementation of the Hyogo 
                                <break/>Framework for Action. Huairou Commission and Groots
                                <break/> International, Brooklyn, NY. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Collective 
                                <break/>Action and
                                <break/> Grassroots
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - General</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Hedger, M., Singha, A., &amp; Reddy, M. (2010). Building climate
                                <break/> resilience at state level: Disaster risk management and rural 
                                <break/>livelihoods in Orissa. Strengthening Climate Resilience Discussion
                                <break/> Paper 5. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Climate 
                                <break/>shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Heltberg, R., Hossain, N., Reva, A., &amp; Turk, C. (2013). Coping and
                                <break/> resilience during the food, fuel, and financial crises. Journal of 
                                <break/>Development Studies, 49(5), 705&#x2013;718. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Philippines, Indonesia,
                                <break/> Senegal, CAR</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - The
                                <break/> food, fuel, and
                                <break/> financial crises
                                <break/> during 2008&#x2013;
                                <break/>2011</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Hossain, M. Z., &amp; Rahman, M. A. U. (2018). Pro-poor adaptation
                                <break/> for the urban extreme poor in the context of climate change. 
                                <break/>International Journal of Climate Change Strategies and 
                                <break/>Management. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bangladesh</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural 
                                <break/>- Bangladesh
                                <break/> floods 1998</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Huang, Y., &amp; Wong, H. (2013). Effects of social group work with 
                                <break/>survivors of the Wenchuan earthquake in a transitional community.
                                <break/> Health &amp; Social Care in the Community, 21(3), 327&#x2013;337. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">China</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Earthquake</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Jahns, E. (2014). Savings groups, shocks and coping strategies: The 
                                <break/>case of poor rural households in El Salvador (Doctoral dissertation,
                                <break/> Fletcher School of Law and Diplomacy (Tufts University)). </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Dissertation</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Latin 
                                <break/>America and
                                <break/> Caribbean</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">El Salvador</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - High
                                <break/> food prices</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Joshi, C., &amp; Bhatt, M. R. (2009). Engendering tsunami recovery in
                                <break/> Sri Lanka: The role of UNIFEM and its partners. In Women, Gender 
                                <break/>and Disaster: Global Issues and Initiatives (pp. 304&#x2013;319). SAGE 
                                <break/>Publications India Pvt Ltd.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sri Lanka</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kaboski, J. P., &amp; Townsend, R. M. (2005). Policies and impact: An 
                                <break/>analysis of village-level microfinance institutions. Journal of the 
                                <break/>European Economic Association, 3(1), 1&#x2013;50. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Thailand</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Microfinance 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - 
                                <break/>Various</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Karlan, D., Savonitto, B., Thuysbaert, B., &amp; Udry, C. (2017). Impact 
                                <break/>of savings groups on the lives of the poor. Proceedings of the 
                                <break/>National Academy of Sciences, 114(12), 3079&#x2013;3084. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ghana, Malawi, Uganda</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kellogg, M. (2020). Women building resilient cities in the context of 
                                <break/>climate change: Lessons from Freetown, Sierra Leone. Georgetown
                                <break/> Institute for Women, Peace and Security 2020.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Flood</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Khatibi, F. S., Ramalingam, A., &amp; Yamakanamardi, S. M. (2011). 
                                <break/>Role of Women in Prevention of Epidemic Waterborne Diseases 
                                <break/>Through Training Programmes in Mysore City. Nature, Environment 
                                <break/>and Pollution Technology, 10(2), 243&#x2013;246.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - 
                                <break/>Waterborne 
                                <break/>Epidemics</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kilby, P. (2008). The strength of networks: the local NGO response
                                <break/> to the tsunami in India. Disasters, 32(1), 120&#x2013;130. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Korkoyah Jr, D. T., &amp; Wreh, F. F. (2015). Ebola impact revealed: An
                                <break/> assessment of the differing impact of the outbreak on the women
                                <break/> and men in Liberia. Oxfam International. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Liberia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kruks-Wisner, G. (2011). Seeking the local state: gender, caste, 
                                <break/>and the pursuit of public services in post-tsunami India. World
                                <break/> Development, 39(7), 1143&#x2013;1154. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ksoll, C., Lille&#x00f8;r, H. B., L&#x00f8;nborg, J. H., &amp; Rasmussen, O. D. (2016).
                                <break/> Impact of village savings and loan associations: Evidence from a 
                                <break/>cluster randomized trial. Journal of Development Economics, 120,
                                <break/> 70&#x2013;85. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Malawi</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Hunger 
                                <break/>Season</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kuppuswamy, S., &amp; Rajarathnam, S. (2009). Women, information
                                <break/> technology and disaster management: Tsunami affected districts
                                <break/> of Tamil Nadu. International Journal of Innovation and Sustainable
                                <break/> Development, 4(2/3), 206&#x2013;2015. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Langlay, N. (2014). The impact of ebola virus disease on village 
                                <break/>savings and loans associations Montserrado, Margibi, Bong and 
                                <break/>Lofa counties. FAO. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Liberia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Larson, G., Drolet, J., &amp; Samuel, M. (2013). The role of self-help
                                <break/> groups in post-tsunami rehabilitation. International Social Work,
                                <break/> 58(5), 732&#x2013;742. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Tsunami</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Linkow, B., &amp; Rentschler, L. (2016). Fraying of the ties that bind: 
                                <break/>Community-level Financial institutions and HIV/AIDS with evidence 
                                <break/>from KwaZulu-Natal, South Africa. Journal of African Economies,
                                <break/>1&#x2013;21. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - HIV/
                                <break/>AIDS during 
                                <break/>period of rapidly
                                <break/> increasing
                                <break/> mortality</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">LTS International. (2015). ECRP flood study: Assessing the 
                                <break/>contribution of ECRP to flood resilience. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Malawi</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Flood</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mehta, M. (2009). Reducing disaster risk through community 
                                <break/>resilience in the Himalayas. In Women, Gender and Disaster: 
                                <break/>Global Issues and Initiatives (pp. 57&#x2013;74). SAGE Publications India
                                <break/> Pvt Ltd. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Review</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Cloudburst</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mitchell, M. (2018). The Curse of the Kosi. Heifer International. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Blog</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Floods</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Moser, C., Norton, A., Stein, A., &amp; Georgieva, S. (2010). Pro-poor
                                <break/> adaptation to climate change in urban centers: Case studies of 
                                <break/>vulnerability and resilience in Kenya and Nicaragua. The World 
                                <break/>Bank. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya, Nicaragua</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Rainfall 
                                <break/>shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mukenge, M. (2013). The role of grassroots women&#x2019;s groups in
                                <break/> HIV/AIDS prevention and response: Examples of practice in post-
                                <break/>conflict settings. International Peacekeeping, 20(4), 469&#x2013;485. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sierra Leone, 
                                <break/>Democratic Republic of
                                <break/> the Congo</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - HIV</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mukti (2020). Mukti provides aid to the SHG women group at 
                                <break/>Radhakantapur Gram Panchayat. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">News Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Cyclone 
                                <break/>Amphan</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mulyasari, F., &amp; Shaw, R. (2014). Risk communication through 
                                <break/>community-based society organizations as local response to 
                                <break/>disaster in Bandung, Indonesia. In Risks and conflicts: Local 
                                <break/>responses to natural disasters. Emerald Group Publishing Limited.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Indonesia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Disaster</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Nambiar, M. (2016). The growing role of women in disaster risk 
                                <break/>management. World Bank. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Blog</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Cyclone 
                                <break/>Phailin</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Nannozi, A. (2019). A case study: Exploring the influence of the
                                <break/> informal financial sector on food security among smallholder
                                <break/> farmers in Uganda, Greater Luweero. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Thesis</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Uganda</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA; Other 
                                <break/>Savings Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - Price 
                                <break/>shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Nayar, N., &amp; Faisal, M. E. H. (1999). Microfinance survives
                                <break/> Bangladesh floods. Economic and Political Weekly, 34(14), 801&#x2013;803.
                                <break/> JSTOR.</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Bangladesh</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Microfinance
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Bangladesh
                                <break/> floods 1998</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Pollard, A. A. (2003). Women&#x2019;s oganizations, voluntarism, and self-
                                <break/>financing in Solomon Islands: a participant perspective. Oceania, 
                                <break/>74(1&#x2013;2), 44&#x2013;60. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Solomon Islands</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Ethnic
                                <break/> conflict</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Population Council. (2020). Covid-19 research results brief # 7: Self-
                                <break/>help groups: A potential pivot of Bihar&#x2019;s response to covid-19. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Covid-19</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Porter, M. (2001). Women in &#x201c;Reformasi&#x201d; Aspects of Women's 
                                <break/>Activism in Jakarta. Canadian Journal of Development Studies/
                                <break/>Revue canadienne d'&#x00e9;tudes du d&#x00e9;veloppement, 22(1), 51&#x2013;
                                <break/>80..2001.9668802</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Indonesia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Collective
                                <break/> Action and 
                                <break/>Grassroots 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Sexual
                                <break/> violence</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ravon, L. (2014). Resilience in times of food insecurity: Reflecting 
                                <break/>on the experiences of women&#x2019;s organizations. Oxfam Canada. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peru, Brazil, Guatemala,
                                <break/> Nicaragua, El Salvador, 
                                <break/>South Africa, Ethiopia,
                                <break/> Burkina Faso, Niger, Sri
                                <break/> Lanka</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Disaster</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ray-Bennett, N. S. (2010). The role of microcredit in reducing
                                <break/> women&#x2019;s vulnerabilities to multiple disasters. Disasters, 34(1),
                                <break/> 240&#x2013;260. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Super 
                                <break/>cyclone</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ruszczyk, H. A. (2014). Local understandings of community 
                                <break/>resilience in earthquake prone Nepal. Durham theses, Durham
                                <break/> University. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Dissertation</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Nepal</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Earthquake</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Shaji, Shilpa (2020). COVID-19: Local self-governments, SHGs key to 
                                <break/>tackling pandemic in Kerala, says former chief secretary. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">News Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Covid-19</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sharma, V., Reddy, B., &amp; Sahu, N. (2014). Sustainable rural 
                                <break/>livelihoods approach for climate change adaptation in Western 
                                <break/>Odisha, Eastern India. Development in Practice, 24(4), 591&#x2013;604. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Climate 
                                <break/>shocks</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sim, T., Lau, J., Cui, K., &amp; Wei, H.-H. (2019). Post-disaster 
                                <break/>psychosocial capacity building for women in a Chinese rural village. 
                                <break/>International Journal of Disaster Risk Science, 10(2), 193&#x2013;203. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">China</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Earthquake</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Soares, J., &amp; Mullings, A. Y. (2009). &#x2018;A we run tings&#x2019;: Women
                                <break/> rebuilding Montserrat. In Women, Gender and Disaster: Global
                                <break/> Issues and Initiatives (pp. 250&#x2013;260). SAGE Publications India Pvt
                                <break/> Ltd. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Book Chapter</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Latin 
                                <break/>America and 
                                <break/>Caribbean</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Montserrat</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural 
                                <break/>- Volcanic
                                <break/> eruption</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Solution Exchange - Disaster Management and the Gender
                                <break/> Community of Practice (2012). Women and girls: The invisible force 
                                <break/>of resilience. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Floods</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Story, W. T., Tura, H., Rubin, J., Engidawork, B., Ahmed, A., Jundi,
                                <break/> F., Iddosa, T., &amp; Abrha, T. H. (2020). Social capital and disaster 
                                <break/>preparedness in Oromia, Ethiopia: An evaluation of the &#x201c;Women 
                                <break/>Empowered&#x201d; approach. Social Science &amp; Medicine, 257, 111907. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ethiopia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings 
                                <break/>Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural -
                                <break/> Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Tawodzera, G. (2012). Urban household survival and resilience to
                                <break/> food insecurity in crisis conditions: The case of Epworth in Harare,
                                <break/> Zimbabwe. Journal of Hunger &amp; Environmental Nutrition, 7(2&#x2013;3),
                                <break/> 293&#x2013;320. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Zimbabwe</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Economic - 
                                <break/>Massive inflation</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Tol, W. A., Leku, M. R., Lakin, D. P., Carswell, K., Augustinavicius, 
                                <break/>J., Adaku, A., Au, T. M., Brown, F. L., Bryant, R. A., Garcia-Moreno, 
                                <break/>C., Musci, R. J., Ventevogel, P., White, R. G., &amp; van Ommeren, M. 
                                <break/>(2020). Guided self-help to reduce psychological distress in South 
                                <break/>Sudanese female refugees in Uganda: a cluster randomised trial. 
                                <break/>The Lancet Global Health, 8(2), e254&#x2013;e263. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed 
                                <break/>Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>Methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Uganda</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Conflict - Conflict</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Weing&#x00e4;rtner, L., Pichon, F., Simonet, C. (2017). How self-help 
                                <break/>groups strengthen resilience: A study of Tearfund&#x2019;s approach to 
                                <break/>tackling food insecurity in protracted crises in Ethiopia. Overseas 
                                <break/>Development Institute (ODI) Report. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Mixed 
                                <break/>methods</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Ethiopia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Self-Help Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought, floods,
                                <break/> hailstorms</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">WHO. (2018). Women join hands to oust ebola from the
                                <break/> Democratic Republic of the Congo. WHO | Regional Office for 
                                <break/>Africa. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Blog</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan
                                <break/> Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Democratic Republic of 
                                <break/>the Congo</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Unspecified</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Health - Ebola</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Wineman, A., Mason, N. M., Ochieng, J., &amp; Kirimi, L. (2017). Weather
                                <break/> extremes and household welfare in rural Kenya. Food Security, 9(2), 
                                <break/>281&#x2013;300. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Peer-reviewed
                                <break/> Journal Article</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Sub-Saharan 
                                <break/>Africa</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Kenya</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Other Savings
                                <break/> Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Drought</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Yaron, G., Wilson, D., Dumble, S., &amp; Murphy, B. (2017). Measuring
                                <break/> changes in household resilience as a result of BRACED activities in 
                                <break/>Myanmar. Building Resilience and Adaptation to Climate Extremes
                                <break/> and Disasters (BRACED). London: UK. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization 
                                <break/>Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Quantitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">East Asia 
                                <break/>and Pacific</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Myanmar</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">VSLA; Other 
                                <break/>Savings Group</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - Climate 
                                <break/>extremes and 
                                <break/>disasters</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Yonder, A., Akcar, S., &amp; Gopalan, P. (2005). Women's participation in
                                <break/> disaster relief and recovery. Population Council. </td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Organization
                                <break/> Report</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Qualitative</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">South Asia</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">India</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Multiple</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Natural - 
                                <break/>Earthquake</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>To complement and deepen our analysis, we provide an in-depth description of how women&#x2019;s groups responded to the Ebola epidemic in sub-Saharan Africa. We include both the 2014&#x2013;2016 Ebola Virus Disease (EVD) outbreak in West Africa as well as the 2018&#x2013;2020 outbreak in the Democratic Republic of the Congo (DRC), which&#x2014;similar to COVID-19&#x2014;devastated families, disrupted economic and social activities, and resulted in government policies that placed restrictions on mobility, large gatherings, and livelihoods (
                <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>; 
                <xref ref-type="bibr" rid="ref-79">WHO, 2018</xref>). This spotlight on the Ebola crisis allows for a more detailed exploration of the interaction between women&#x2019;s groups and a covariate health shock that requires social distancing, providing in-depth context to complement the findings for each of our research questions.</p>
            <sec>
                <title>Findings</title>
                <p>Our included literature, as shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref>, are diverse in geography, type of women&#x2019;s group, and shock.
                    <sup>
                        <xref ref-type="other" rid="FN2">2</xref>
                    </sup> Though women&#x2019;s groups in sub-Saharan Africa and South Asia are the most widely represented, studies are included from women&#x2019;s groups in low-and middle-income countries across four continents. The groups in the included studies demonstrate a wide variety of goals and organizing purposes&#x2014;indeed, many groups formed around multiple livelihoods, health, and financial interests. In terms of the types of shocks represented in the sample, we find more literature on natural disasters (56 out of 90 studies) than other acute covariate shocks (
                    <italic toggle="yes">e.g.,</italic> 15 studies on health shocks, 10 on conflict shocks, and seven on economic shocks). The diversity in our included literature allows for an examination of the varied interactions between different types of women&#x2019;s groups, acute covariate shocks, and the resilience of group members and their communities. We also purposively included studies with outcomes in a wide range of domains, including domains that may not be immediately obvious when discussing resilience. For example, we included outcomes related to pregnancy risks for adolescent girls, which can increase without the protection of time in school during pandemics (
                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                        <italic toggle="yes">et al.,</italic> 2019</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Overview of included literature.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Documents Coded (90)</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Peer-reviewed Journal Article (38)     Organization Report (23)
                                    <break/>Blog/News Article (7)      Book Chapter (11)
                                    <break/>Working Paper/Dissertation/Thesis/Conference Paper (11)    </td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Geography</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Sub-Saharan Africa (37)     South Asia (33)     East Asia &amp; Pacific (8)
                                    <break/>Latin America &amp; Caribbean (4)     Middle East &amp; North Africa (1)
                                    <break/>Multiple (7)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Type of Shock</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Natural (56)    Health (15)     Conflict (10)     Economic (7)     Multiple (2)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Type of Women&#x2019;s Group</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Self-Help Groups (27)     VSLA &amp; Other Savings Group (26)
                                    <break/>Microfinance Groups (3)      Collective Action &amp; Grassroots Groups (4)
                                    <break/>ELA and other adolescent girls&#x2019; groups (3)      Multiple* (14)
                                    <break/>Unspecified (7)     Other (6)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Organizing Purpose</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Financial (31)     Health (5)     Livelihoods (3)      Multiple (43)     Other (8)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Methodology</td>
                                <td align="left" colspan="3" rowspan="1" valign="top">Quantitative (17)     Qualitative (52)     Mixed Methods (15)      Review (6)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="2" rowspan="1" valign="top">
                                    <bold>Question for document coding</bold>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">
                                    <bold>Yes</bold>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">
                                    <bold>No</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Peer Reviewed?</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">38</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">52</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Discusses the effect of shocks on women's group activities and/or resources?</td>
                                <td align="center" colspan="1" rowspan="1" valign="top"> 29</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;If Yes:     Positive (1)       Negative (25)       Neutral (1)       Mixed (2)</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Discusses group response or adaptation to shock? </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">65</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Discusses women&#x2019;s groups playing a role in community response?</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">37</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">53</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Describes the role of women&#x2019;s groups in the resilience of members to shocks?</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">46</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">44</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;If Yes, list of resilience indicator(s) discussed:
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Food Security, Consumption Smoothing, &amp; Saving (15)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Psychological/Mental State (8)      Credit (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Income, Economic Security, &amp; Employment/Migration (8)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Composite Index (2)      Pregnancy (2)      Disaster Preparedness (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;School Enrollment &amp; Attendance (3)      Empowerment/Status (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Height-to-Age Ratio (1)      Access to resources/information (1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Methodology includes a comparison group?</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">20</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">70</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;If Yes, list of resilience indicator(s) discussed:
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Food Security, Consumption Smoothing, &amp; Saving (10)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Psychological/Mental State (4)      Credit (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Income, Economic Security, &amp; Employment/Migration (4)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Composite Index (2)      Pregnancy (2)      Disaster Preparedness (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;School Enrollment &amp; Attendance (3)      Height-to-Age Ratio (1)
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Access to Resources/Information (1)                    </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>*Frequently incudes savings, lending, and/or advocacy components</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>Quantitative and mixed methods research on the impacts of acute covariate shocks to women&#x2019;s groups&#x2014;and any resilience that groups may provide to members&#x2014;is sparse. The majority of the literature available are qualitative in nature, and few studies are peer-reviewed. Out of 90 documents included in our sample, we identified 38 peer-reviewed journal articles, of which 32 used a quantitative or mixed methods research approach.</p>
                <p>
                    <bold>
                        <italic toggle="yes">How do shocks affect women&#x2019;s groups?</italic>
                    </bold> This section discusses evidence on the effects of shocks on women&#x2019;s groups activities and resources, features and adaptations through which women&#x2019;s groups may increase resilience to shocks, and how shocks may serve as the impetus for new women&#x2019;s groups. </p>
                <p>
                    <italic toggle="yes">The effects of shocks on women&#x2019;s group activities and resources, and group resilience</italic>
                </p>
                <p>The evidence on the effects of acute covariate shocks on women&#x2019;s groups suggests consistently negative impacts on women&#x2019;s group resources and activities (25 out of 29 documents reporting on this research question indicated an adverse impact on group resources and/or activities), indicating that covariate shocks can adversely affect group resilience. Women&#x2019;s groups were unable to meet as frequently, ceased certain activities and services, and occasionally dissolved altogether (
                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                        <italic toggle="yes">et al.,</italic> 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-8">BARA &amp; IPA, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-46">Heltberg 
                        <italic toggle="yes">et al.,</italic> 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>; 
                    <xref ref-type="bibr" rid="ref-65">Pollard, 2003</xref>; 
                    <xref ref-type="bibr" rid="ref-72">Soares &amp; Mullings, 2009</xref>). Some women&#x2019;s groups changed their group function and adapted their activities to support community responses to a covariate shock, such as engaging in emergency warning communications (
                    <xref ref-type="bibr" rid="ref-35">F&#x00e9;ron, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref-61">Mulyasari &amp; Shaw, 2014</xref>), information dissemination (
                    <xref ref-type="bibr" rid="ref-19">CARE, 2020a</xref>), and implementation of rescue and relief programming (
                    <xref ref-type="bibr" rid="ref-59">Mehta, 2009</xref>) &#x2013; and this is discussed in greater detail in Section 
                    <italic toggle="yes">How Do Women&#x2019;s Groups Support Community Responses to Shocks?</italic>.</p>
                <p>Covariate shocks tend to have deleterious effects on group resources and resilience due to the majority of members experiencing difficulty in contributing to group funds (
                    <italic toggle="yes">i.e.,</italic> through savings contributions or loan repayments) while simultaneously needing to draw upon group financial services such as credit and social insurance to cope with shocks (
                    <xref ref-type="bibr" rid="ref-3">Androsik, 2020</xref>; 
                    <xref ref-type="bibr" rid="ref-4">Atela 
                        <italic toggle="yes">et al.,</italic> 2018</xref>; 
                    <xref ref-type="bibr" rid="ref-12">Bermudez &amp; Matuszeski, 2010</xref>; 
                    <xref ref-type="bibr" rid="ref-40">Gash &amp; Gray, 2016</xref>; 
                    <xref ref-type="bibr" rid="ref-46">Heltberg 
                        <italic toggle="yes">et al.,</italic> 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>; 
                    <xref ref-type="bibr" rid="ref-63">Nannozi, 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-64">Nayar &amp; Faisal, 1999</xref>). This drastic reduction in the supply of group resources, combined with a sudden increase in demand, may pose a serious challenge to group sustainability and resilience. Covariate shocks may also increase uncertainty around the costs and benefits of group membership. For example, a study during the height of the HIV/AIDS epidemic in South Africa found that individuals were less likely to continue membership in informal risk sharing networks due to the increased likelihood that other group members would die before repaying their loans (
                    <xref ref-type="bibr" rid="ref-58">Linkow &amp; Rentschler, 2016</xref>). Similarly, a women&#x2019;s group affected by an acute covariate shock faces a sustainability challenge if members perceive that the cost of group membership is not offset by the anticipated benefits of pooled resources.</p>
                <p>
                    <italic toggle="yes">Features and adaptations of women&#x2019;s groups to increase resilience to shocks</italic>
                </p>
                <p>There is limited evidence specifying the ways in which certain group models or implementation features can contribute to the ability of the group, and/or its members, to withstand shocks, but the existing literature provides some insights into the importance of organizational linkages, flexible policies, and social capital. The primary indicator of a group&#x2019;s ability to persist and function during a covariate shock is the presence of a formal linkage between the women&#x2019;s group and NGOs, financial institutions, and/or other women&#x2019;s groups (
                    <xref ref-type="bibr" rid="ref-23">Coppock &amp; Desta, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-30">Demont, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref-52">Khandker 
                        <italic toggle="yes">et al.,</italic> 2015</xref>). Linkages to external financial services and resources allow for uninterrupted access to credit for group members, as the resource pool is not constrained to the shock-affected women&#x2019;s group; that is, the sudden increase in demand for resources during a shock does not threaten group sustainability because the linkage to an external organization prevents a simultaneous decrease in the resource supply.</p>
                <p>We also found some evidence that women&#x2019;s groups adapted their policies around member contributions and share-outs in an effort to mitigate the impact of shocks. Some savings groups timed the share-outs to coincide with the beginning of the lean (pre-harvest) season (
                    <xref ref-type="bibr" rid="ref-8">BARA &amp; IPA, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-15">Brunie 
                        <italic toggle="yes">et al.,</italic> 2014</xref>), while other savings groups implemented shorter loan cycles and new emergency funds to better cope with recurrent shocks (
                    <xref ref-type="bibr" rid="ref-19">CARE, 2020a</xref>). Women&#x2019;s groups in India set up a new, banked resilience fund in Odisha after cyclone Fani (
                    <xref ref-type="bibr" rid="ref-41">Ghosh, 2019</xref>), and the Self Employed Women&#x2019;s Association (SEWA) created a Livelihood Security Fund tailored to the needs of members living in disaster-prone areas of Gujarat, India (
                    <xref ref-type="bibr" rid="ref-11">Benni &amp; Barkataky, 2018</xref>). Another adaptation includes the implementation of increased flexibility around contribution amounts during a negative shock, but this adaptation highlights a possible tension between the resilience of groups (
                    <italic toggle="yes">i.e.,</italic> the group infrastructure and functioning withstanding the shock) and the resilience of group members (
                    <italic toggle="yes">i.e.,</italic> individual group members withstanding the shock). For example, 
                    <xref ref-type="bibr" rid="ref-30">Demont (2022)</xref> found that policies of compulsory savings were central to group resilience after covariate weather shocks, but 
                    <xref ref-type="bibr" rid="ref-52">Khandker, Khalily, and Samad (2015)</xref> found that more flexible policies (
                    <italic toggle="yes">e.g.,</italic> flexibility on loan repayment) were important for individual resilience during shocks.</p>
                <p>Descriptions of women&#x2019;s groups&#x2019; adaptation to shocks rarely speak to the implications of these adaptations, such as how these changes may alter the women&#x2019;s group implementation or effectiveness, or whether these adaptations are sustained after a crisis. A notable exception is 
                    <xref ref-type="bibr" rid="ref-68">Ray-Bennett (2010)</xref>, who examined how a policy change that prioritized women&#x2019;s group resources for its most vulnerable members during a shock produced unintended adverse consequences, including group tension and conflict. After a major cyclone hit India in 1999, the NGO managing SHGs in the affected region implemented a policy known as a &#x201c;vulnerability analysis&#x201d; approach, which targeted group resources such as credit to poor group members over non-poor members of the same caste. While the intent of this approach was to promote equity, it resulted in the less vulnerable members exhibiting &#x201c;extreme hostility&#x201d; towards more vulnerable members that received priority. They &#x201c;exerted extreme pressure&#x201d; on the vulnerable recipients to deposit savings and repayments regularly regardless of their difficulties, and, if they failed, were met with "verbal abuse and fiery argument" (p. 252). Ultimately, the most vulnerable were unable to receive any further credit &#x2013; which "reproduced and re-intensified local gender and class hierarchies, with more privileged women receiving far greater benefit than the poorer" (p. 253). SHGs that did not adopt the vulnerability analysis appeared to fare better than those that did, as this helped to "diffuse the pressure of the least vulnerable group members on the activities of the SHG" (p. 253). The findings of 
                    <xref ref-type="bibr" rid="ref-68">Ray-Bennett (2010)</xref> reveal that the implications of women&#x2019;s group adaptations to shocks is an important&#x2014;yet understudied&#x2014;topic in the literature.</p>
                <p>Women&#x2019;s group respondents facing recurrent droughts in Northern Kenya also cited a number of factors important for group sustainability that are closely related to the social capital embedded in groups, including unity and social cohesion, transparency and accountability of group leadership, and the appropriate balance of incentives and discipline in order to &#x201c;instill an ethos of shared rights and responsibilities&#x201d; (
                    <xref ref-type="bibr" rid="ref-23">Coppock &amp; Desta, 2013</xref>, p. 100).</p>
                <p>
                    <italic toggle="yes">Shocks as an impetus for the formation of groups</italic>
                </p>
                <p>We also examined how shocks may serve as the impetus for new women&#x2019;s groups to form. Women&#x2019;s groups may form organically after a shock as a way for members to provide psychosocial support to one another (
                    <xref ref-type="bibr" rid="ref-13">Berry, 2015</xref>; 
                    <xref ref-type="bibr" rid="ref-48">Huang &amp; Wong, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-70">Sim 
                        <italic toggle="yes">et al.,</italic> 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-76">Tol 
                        <italic toggle="yes">et al.,</italic> 2020</xref>), to pool resources for survival (
                    <xref ref-type="bibr" rid="ref-24">Corbin &amp; Hall, 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-34">Falk, 2014</xref>; 
                    <xref ref-type="bibr" rid="ref-66">Porter, 2001</xref>; 
                    <xref ref-type="bibr" rid="ref-75">Tawodzera, 2012</xref>), and to advocate for inclusion in community response (
                    <xref ref-type="bibr" rid="ref-22">Clissold 
                        <italic toggle="yes">et al.,</italic> 2020</xref>; 
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>).</p>
                <p>In some cases, large covariate shocks such as natural disasters and war may attract NGOs to a region to distribute assistance. For example, BRAC began operations in Bangladesh in 1972 as a small-scale relief and rehabilitation project to help refugees after the Bangladesh Liberation War of 1971 (
                    <xref ref-type="bibr" rid="ref-94">Chowdhury &amp; Bhuiya, 2004</xref>). Because many NGOs prioritize women in their aid response, an increase in NGO activity may produce an increase in the proliferation and activity of women&#x2019;s groups (
                    <xref ref-type="bibr" rid="ref-55">Kruks-Wisner, 2011</xref>; 
                    <xref ref-type="bibr" rid="ref-82">Yonder 
                        <italic toggle="yes">et al.,</italic> 2005</xref>). Kruks-Wisner describes how the Tamil Nadu state in India experienced &#x201c;two tsunamis&#x201d; &#x2013; the initial Indian Ocean tsunami of December 2004, followed by &#x201c;a wave [that] pumped unprecedented amounts of aid, materials, and personnel into the affected region&#x201d; (2011). Many of these newly-arrived NGOs worked with SHGs to provide support and connect women to government officials for advocacy purposes during the recovery process. The relationship between women&#x2019;s groups and NGOs is bidirectional, as NGOs may establish women&#x2019;s groups as part of their organizational response, and groups of women may start groups or formalize existing groups after a disaster in order to attract NGO partnerships. For example, after civil conflict in Liberia, many women organized into women&#x2019;s groups in an &#x201c;entrepreneurial attempt&#x201d; to access donor funding that prioritized disbursement to women (
                    <xref ref-type="bibr" rid="ref-38">Fuest, 2008</xref>).</p>
                <p>
                    <bold>
                        <italic toggle="yes">How do women&#x2019;s groups mitigate the effects of shocks for members?</italic>
                    </bold> We next reviewed the literature to assess the extent to which participation in women&#x2019;s groups is associated with member resilience during an acute covariate shock. We found 46 documents that included evidence on the role of women&#x2019;s groups in the resilience of members to covariate shocks. Most of this evidence (26 documents) consisted of qualitative interviews with group members and focused on member experiences, without comparison to a control population of non-group members or women without access to groups. These interviews do not provide quantifiable evidence of resilience, but the shared experiences of the women interviewed supply valuable detail and context often lacking in quantitative studies for how group mechanisms produce resilience. For example, women&#x2019;s groups that formed in the wake of the Rwandan genocide testified to the importance of the group for collective grieving and emotional support as a way to cope with the tragedy of lost family members and displacement (
                    <xref ref-type="bibr" rid="ref-13">Berry, 2015</xref>). Members of economic SHGs stressed the importance of group membership in accumulating savings and group-based credit to better absorb economic losses due to natural disasters or rainfall shocks &#x2013; that is, economic SHGs contributed to members&#x2019; absorptive capacity (
                    <xref ref-type="bibr" rid="ref-23">Coppock &amp; Desta, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-40">Gash &amp; Gray, 2016</xref>), and members of agricultural groups attributed their ability to adapt to price shocks (
                    <italic toggle="yes">i.e.,</italic> adaptive capacity) to shared group storage resources and trainings from group-affiliated NGOs (
                    <xref ref-type="bibr" rid="ref-63">Nannozi, 2019</xref>).</p>
                <p>To address the empirical evidence on the extent to which women&#x2019;s groups increase resilience to shocks, we limited our analysis to studies with a control or comparison group. 
                    <xref ref-type="table" rid="T3">Table 3</xref> contains a summary of the included empirical studies (n=20).</p>
                <table-wrap id="T3" orientation="portrait" position="anchor">
                    <label>Table 3. </label>
                    <caption>
                        <title>Summary of empirical studies (n=20).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Citation</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Country</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Women&#x2019;s Group 
                                    <break/>Intervention</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Shock</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Identification 
                                    <break/>strategy</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Design</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Key outcome measures
                                    <break/> (describe)</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Key results</th>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Other results</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bahadur, A., Lovell, E., &amp; Pichon, F. (2016).
                                    <break/> 
                                    <italic toggle="yes">Effectiveness in building resilience: Synthesis </italic>
                                    <break/>
                                    <italic toggle="yes">report for Oxfam&#x2019;s resilience outcome area</italic>. Oxfam
                                    <break/> Research Reports. Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://oxfamilibrary.openrepository.com/bitstream/handle/10546/620103/er-effectiveness-resilience-building-080216-en.pdf?sequence=1&amp;isAllowed=y">https://</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://oxfamilibrary.openrepository.com/bitstream/handle/10546/620103/er-effectiveness-resilience-building-080216-en.pdf?sequence=1&amp;isAllowed=y">oxfamilibrary.openrepository.com/bitstream/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://oxfamilibrary.openrepository.com/bitstream/handle/10546/620103/er-effectiveness-resilience-building-080216-en.pdf?sequence=1&amp;isAllowed=y">handle/10546/620103/er-effectiveness-resilience-</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://oxfamilibrary.openrepository.com/bitstream/handle/10546/620103/er-effectiveness-resilience-building-080216-en.pdf?sequence=1&amp;isAllowed=y">building-080216-en.pdf?sequence=1&amp;isAllowed=y</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Senegal (central
                                    <break/> area)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Farmers received
                                    <break/> comprehensive intervention, 
                                    <break/>which included savings 
                                    <break/>groups (as well as weather
                                    <break/> insurance, disaster risk
                                    <break/> reduction activities, access 
                                    <break/>to credit, and agricultural 
                                    <break/>support). Participants
                                    <break/> in savings groups were 
                                    <break/>&#x201c;primarily women.&#x201d; Impacts 
                                    <break/>applied to the whole
                                    <break/> intervention; they were not
                                    <break/> attributable to savings groups 
                                    <break/>alone.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Lean season in arid 
                                    <break/>regions; high levels of
                                    <break/> climate-related food
                                    <break/> insecurity. Study conducted
                                    <break/> 2013&#x2013;15.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Not specified.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Design not specified. Results given
                                    <break/> for beneficiary households and 
                                    <break/>comparison households.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Coping Strategy Index (CSI): 
                                    <break/>Measures how households 
                                    <break/>cope with food shortages.
                                    <break/> Higher score means more
                                    <break/> frequent/intense coping
                                    <break/> mechanisms.
                                    <break/>Food Consumption Score (FCS): 
                                    <break/>Reflects number of meals per
                                    <break/> day; higher percentage means
                                    <break/> more food consumption.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CSI: Both groups increased their strategies
                                    <break/> for coping with food insecurity challenges.
                                    <break/> Beneficiary households increased CSI 
                                    <break/>scores by 1.7 percentage points, while 
                                    <break/>comparison households increased CSI 
                                    <break/>scores by 7.8 percentage points (no 
                                    <break/>indication of statistical significance
                                    <break/> provided). Project households were more
                                    <break/> likely to use savings as a coping strategy 
                                    <break/>(instead of borrowing, using credit, 
                                    <italic toggle="yes">etc.</italic>).
                                    <break/>FCS: Both groups decreased food
                                    <break/> consumption, on average. Comparison 
                                    <break/>households decreased FCS from 56% to
                                    <break/> 29% from 2013 to 2015, while project
                                    <break/> households decreased FCS from 59%
                                    <break/> to 54% (no indication of statistical 
                                    <break/>significance provided).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Beneficiary households
                                    <break/> were more likely to 
                                    <break/>use solar energy and
                                    <break/> to produce higher rice
                                    <break/> yields than comparison 
                                    <break/>households, but it 
                                    <break/>is unclear whether 
                                    <break/>these outcomes were
                                    <break/> due to savings group
                                    <break/> participation.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bandiera, O., Buehren, N., Goldstein, M. P., Rasul,
                                    <break/> I., &amp; Smurra, A. (2019). 
                                    <italic toggle="yes">The economic lives of </italic>
                                    <break/>
                                    <italic toggle="yes">young women in the time of Ebola: Lessons from</italic>
                                    <break/>
                                    <italic toggle="yes"> an empowerment program</italic>. The World Bank.
                                    <break/> Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://elibrary.worldbank.org/doi/pdf/10.1596/1813-9450-8760">https://elibrary.worldbank.org/doi/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://elibrary.worldbank.org/doi/pdf/10.1596/1813-9450-8760">pdf/10.1596/1813-9450-8760</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sierra Leone
                                    <break/> (Port Loko, 
                                    <break/>Kambia, 
                                    <break/>Moyamba, and 
                                    <break/>Pujehun)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">BRACs Empowerment and 
                                    <break/>Livelihood for Adolescents 
                                    <break/>(ELA). Club for girls (ages
                                    <break/> 18&#x2013;25) to meet and gain
                                    <break/> livelihood skills, trainings,
                                    <break/> and reproductive health
                                    <break/> knowledge.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2014 Ebola outbreak. 
                                    <break/>Villages were categorized 
                                    <break/>as high or low Ebola-
                                    <break/>disruption villages (binary
                                    <break/> shock indicator). Index
                                    <break/> score of disruption includes 
                                    <break/>school and health facility
                                    <break/> closures or disruptions; 
                                    <break/>villages with index score
                                    <break/> above 75th percentile 
                                    <break/>scored as &#x201c;high&#x201d; disruption
                                    <break/>(17% of villages in sample).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2x2 factorial
                                    <break/> design&#x2014;randomized 
                                    <break/>controlled trial (RCT)
                                    <break/> for treatment, quasi-
                                    <break/>random for shock. </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">ELA randomly assigned to 150
                                    <break/> villages; 50 control villages. Baseline
                                    <break/> data collected in early 2014 (start
                                    <break/> of outbreak); endline in 2016 (near
                                    <break/> end of outbreak). Young cohort 
                                    <break/>(ages 12&#x2013;17) and older cohort (ages 
                                    <break/>18&#x2013;25). 
                                    <italic toggle="yes">N</italic> = 4,790 (17% attrition; no 
                                    <break/>differential attrition of treatment
                                    <break/> group). Difference-in-differences
                                    <break/> (DD) analysis, interaction term for
                                    <break/> treatment*shock estimate.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">School enrollment: whether or
                                    <break/> not a respondent was enrolled
                                    <break/> in school.
                                    <break/>Literacy skills: self-reported
                                    <break/> abilities to read simple text; 
                                    <break/>reading comprehension; 
                                    <break/>writing complete sentences; 
                                    <break/>etc. Aggregated and scaled on
                                    <break/> 0&#x2013;100 index (average baseline
                                    <break/> score 24.6).
                                    <break/>Numeracy skills: self-reported
                                    <break/> abilities to perform basic
                                    <break/> counting; simple calculations;
                                    <break/> working with fractions; etc. 
                                    <break/>Aggregated and scaled on
                                    <break/> 0&#x2013;100 index (average baseline
                                    <break/> score).
                                    <break/>Out-of-wedlock pregnancy: 
                                    <break/>from survey.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">ELA mitigated the impacts of Ebola
                                    <break/> disruption. For the younger cohort, school
                                    <break/> enrollment dropped 16.6 percentage
                                    <break/> points in highly disrupted control villages
                                    <break/> but declined only 8.1 percentage points
                                    <break/> in disrupted-treatment villages (
                                    <italic toggle="yes">p</italic> &lt; 
                                    <break/>0.1). For younger girls, Ebola disruption
                                    <break/> reduced literacy (numeracy) scores by
                                    <break/> 12.1 percentage points (7.3%) in control
                                    <break/> villages, but ELA offset around 73% (99%)
                                    <break/> of these reductions (
                                    <italic toggle="yes">p</italic> &lt; 0.01). For the
                                    <break/> older cohort, 93% of the loss in numeracy 
                                    <break/>skills was offset by ELA (
                                    <italic toggle="yes">p</italic> &lt; 0.01).
                                    <break/>Out-of-wedlock pregnancies rose by 7.2
                                    <break/> percentage points in high-disruption
                                    <break/> villages, but this increase was completely
                                    <break/> mitigated in treatment villages (
                                    <italic toggle="yes">p</italic> &lt; 0.05).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The older cohort realized
                                    <break/> a significant increase in 
                                    <break/>transactional sex and 
                                    <break/>rape in high-disruption
                                    <break/> treatment villages (5.4 
                                    <break/>percentage points),
                                    <break/> but there was no 
                                    <break/>corresponding increase
                                    <break/> in pregnancy, which
                                    <break/> suggests that the
                                    <break/> treatment increased 
                                    <break/>contraceptive knowledge 
                                    <break/>and use.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bandiera, O., Buehren, N., Goldstein, M. P., Rasul,
                                    <break/> I., &amp; Smurra, A. (2020). 
                                    <italic toggle="yes">Do school closures during</italic>
                                    <break/>
                                    <italic toggle="yes"> an epidemic have persistent effects? Evidence</italic>
                                    <break/>
                                    <italic toggle="yes"> from Sierra Leone in the time of Ebola</italic>. Retrieved
                                    <break/> from 
                                    <ext-link ext-link-type="uri" xlink:href="http://www.homepages.ucl.ac.uk/~uctpimr/research/ELA_SL.pdf">http://www.homepages.ucl.ac.uk/~uctpimr/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="http://www.homepages.ucl.ac.uk/~uctpimr/research/ELA_SL.pdf">research/ELA_SL.pdf</ext-link>
                                    <break/>
                                    <bold>(Follow-up to 
                                        <xref ref-type="bibr" rid="ref-6">Bandiera 
                                            <italic toggle="yes">et al.</italic> [2019])</xref>
                                    </bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sierra Leone
                                    <break/> (Port Loko,
                                    <break/> Kambia, 
                                    <break/>Moyamba, and
                                    <break/>Pujehun)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">BRACs ELA. Club for girls
                                    <break/> (ages 18&#x2013;25) to meet and
                                    <break/> gain livelihood skills, trainings,
                                    <break/> and reproductive health 
                                    <break/>knowledge.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Same as 
                                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                                        <italic toggle="yes">et al.</italic> (2019)</xref> but renames &#x201c;high 
                                    <break/>disruption&#x201d; village to &#x201c;high
                                    <break/> pregnancy risk&#x201d; village.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2x2 factorial design&#x2014;
                                    <break/>RCT for treatment; 
                                    <break/>quasi-random for
                                    <break/> shock (DD analysis). </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">See info for 
                                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                                        <italic toggle="yes">et al.</italic> (2019)</xref>.
                                    <break/>Included additional round of data 
                                    <break/>collection in 2019&#x2013;20 of 2852 
                                    <break/>respondents (~ 60% of original 
                                    <break/>sample; no differential attrition of 
                                    <break/>treatment group). Also included
                                    <break/> surveys of 1368 partners of original 
                                    <break/>sample.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Included follow-up data 
                                    <break/>for school enrollment, 
                                    <break/>contraceptive use, and 
                                    <break/>pregnancy outcomes from
                                    <break/> 
                                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                                        <italic toggle="yes">et al.</italic> (2019)</xref>.
                                    <break/>Included additional partner 
                                    <break/>characteristics (aversion to
                                    <break/> gender-based violence [GBV], 
                                    <break/>education, 
                                    <italic toggle="yes">etc.</italic>).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Short-term results are not substantively
                                    <break/> different from those reported in 
                                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                                        <italic toggle="yes">et al.</italic> (2019)</xref>.
                                    <break/>At follow-up: Highly disrupted villages had
                                    <break/> persistently lower enrollment rates and 
                                    <break/>higher pregnancy rates than villages less
                                    <break/> impacted by Ebola. The ELA clubs also 
                                    <break/>had positive effects on education after
                                    <break/> Ebola with a more limited fall in school
                                    <break/> enrollment post-pandemic in treatment 
                                    <break/>villages than in control villages.
                                    <break/>For the older cohort, the positive
                                    <break/> treatment effect on increased 
                                    <break/>contraceptive use in disrupted villages 
                                    <break/>remained statistically significant.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The survey of partners
                                    <break/> revealed more favorable
                                    <break/> traits among partners 
                                    <break/>of treatment group
                                    <break/> women compared to
                                    <break/> control group women, 
                                    <break/>but this analysis was
                                    <break/> not interacted with the
                                    <break/> disruption of the Ebola
                                    <break/> shock.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bureau of Applied Research in Anthropology &amp; 
                                    <break/>Innovations for Poverty Action. (2013). 
                                    <italic toggle="yes">Final impact</italic>
                                    <break/>
                                    <italic toggle="yes"> evaluation of the saving for change program in</italic>
                                    <break/>
                                    <italic toggle="yes"> Mali, 2009&#x2013;2012</italic>. Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://www.freedomfromhunger.org/sites/default/files/SavingforChangeMaliResearchFullReportMay2013.pdf">https://www.</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.freedomfromhunger.org/sites/default/files/SavingforChangeMaliResearchFullReportMay2013.pdf">freedomfromhunger.org/sites/default/files/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.freedomfromhunger.org/sites/default/files/SavingforChangeMaliResearchFullReportMay2013.pdf">SavingforChangeMaliResearchFullReportMay2013.</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.freedomfromhunger.org/sites/default/files/SavingforChangeMaliResearchFullReportMay2013.pdf">pdf</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mali (S&#x00e9;gou)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Women-only groups, self-
                                    <break/>managed savings and credit
                                    <break/> groups (Saving for Change 
                                    <break/>program). No external capital.
                                    <break/> Share-out timing often
                                    <break/> coincided with periods of high
                                    <break/> cash-flow requirements.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Lean period (beginning
                                    <break/> in May/June) is the only
                                    <break/> covariate shock that was
                                    <break/> quantitatively analyzed.
                                    <break/> Study period was 2009&#x2013;12.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">500 villages randomly assigned
                                    <break/> to treatment or control. 
                                    <italic toggle="yes">N</italic>=5954; 
                                    <break/>households; included big
                                    <break/> households of multiple subfamily 
                                    <break/>units and small households with 
                                    <break/>one head of household. Baseline 
                                    <break/>and endline surveys administered to 
                                    <break/>full sample. Shock-specific analysis
                                    <break/> was conducted with high-frequency
                                    <break/> sample: 600 randomly selected
                                    <break/> women from both treatment and 
                                    <break/>control groups. High-frequency 
                                    <break/>sample was surveyed every two 
                                    <break/>weeks or every three months, 
                                    <break/>depending on survey group.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food consumption: Measured
                                    <break/> with one-week recall 
                                    <break/>survey. Administered to
                                    <break/> high-frequency subsample.
                                    <break/> Frequency for this specific
                                    <break/> survey component is unclear:
                                    <break/> somewhere between every
                                    <break/> two weeks and every three 
                                    <break/>months between June 2010
                                    <break/> and January 2012.
                                    <break/>Food security: Adapted for
                                    <break/> high-frequency sample
                                    <break/> from 17-question Freedom
                                    <break/> From Hunger food security 
                                    <break/>index. Three-month recall. 
                                    <break/>Frequency for this specific
                                    <break/> survey component is unclear: 
                                    <break/>somewhere between every 
                                    <break/>two weeks and every three 
                                    <break/>months between June 2010
                                    <break/> and January 2012.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food consumption: For the high-frequency
                                    <break/> sample, households in treatment villages
                                    <break/> experienced a smaller decline in food 
                                    <break/>consumption during the lean season. 
                                    <break/>This effect is statistically significant only 
                                    <break/>for the subset of small households (not
                                    <break/> full sample or large households). That is,
                                    <break/> small households in treatment villages
                                    <break/> consumed, on average, 0.39 USD more
                                    <break/> than small households in control villages
                                    <break/> (
                                    <italic toggle="yes">p</italic> &lt; 0.05).
                                    <break/>
                                    <italic toggle="yes">Note</italic>. Unclear unit/transformation for 
                                    <break/>coefficient 0.39 USD.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No significant 
                                    <break/>differences in food
                                    <break/> security index for
                                    <break/> treatment households 
                                    <break/>during the lean season.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bass, J., Murray, S., Cole, G., Bolton, P., Poulton,
                                    <break/> C., Robinette, K., ... Annan, J. (2016). Economic,
                                    <break/> social and mental health impacts of an economic
                                    <break/> intervention for female sexual violence survivors 
                                    <break/>in Eastern Democratic Republic of Congo. 
                                    <italic toggle="yes">Global</italic>
                                    <break/>
                                    <italic toggle="yes"> Mental Health, 3</italic>.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">DRC (South Kivu)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Women-only village savings 
                                    <break/>and loan associations
                                    <break/> (VSLAs); received training
                                    <break/> but no outside capital
                                    <break/> from nongovernmental
                                    <break/> organizations (NGOs).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Civil conflict (ongoing since
                                    <break/> 2004; study conducted
                                    <break/> in 2010). Conducted
                                    <break/> specifically among 
                                    <break/>victims of sexual violence
                                    <break/> (SV) in conflict-affected 
                                    <break/>communities.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study-eligible women (SV survivors; 
                                    <break/>
                                    <italic toggle="yes">n</italic>=301) participated in VSLAs
                                    <break/> alongside other women from
                                    <break/> community. VSLAs were randomized
                                    <break/> to immediate start (treatment) 
                                    <break/>and wait-list controls. Outcomes
                                    <break/> measured with baseline/endline 
                                    <break/>questionnaire. 17% attrition (per 
                                    <break/>protocol analysis conducted).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Per capita food consumption: 
                                    <break/>measured with seven-day
                                    <break/> recall survey, including food 
                                    <break/>purchases and food produced
                                    <break/> by household.
                                    <break/>Internalized stigma: measured
                                    <break/> with survey; produced 
                                    <break/>summary score of 0&#x2013;3.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Per capita food consumption: 25%
                                    <break/> greater increase (
                                    <italic toggle="yes">p</italic>=0.01) from baseline 
                                    <break/>to endline for treatment group compared 
                                    <break/>to controls (but control group still had 
                                    <break/>higher expenditure in CDF at both time 
                                    <break/>periods; highest consumption per capita 
                                    <break/>is still &lt; 1 USD).
                                    <break/>Internalized stigma: Both groups realized
                                    <break/> reductions in stigma, but women in
                                    <break/> treatment group reported more than 10% 
                                    <break/>greater reduction in internalized stigma
                                    <break/> than those in control groups (
                                    <italic toggle="yes">p</italic>=0.038).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Marginally significant 
                                    <break/>results include women in
                                    <break/> treatment group having
                                    <break/> about 1.5 more animals
                                    <break/> for breeding and a 
                                    <break/>smaller reduction (17%)
                                    <break/> in paid hours worked
                                    <break/> than women in control 
                                    <break/>group.
                                    <break/>Nonsignificant
                                    <break/> outcomes: Mental
                                    <break/> health functioning 
                                    <break/>and additional social 
                                    <break/>outcomes.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Buehren, N., Chakravarty, S., Goldstein, M.,
                                    <break/> Slavchevska, V., &amp; Sulaiman, M. (2017). 
                                    <italic toggle="yes">Adolescent</italic>
                                    <break/>
                                    <italic toggle="yes"> girls&#x2019; empowerment in conflict-affected settings:</italic>
                                    <break/>
                                    <italic toggle="yes"> Experimental evidence from South Sudan</italic>. CSAE 
                                    <break/>Conference Paper </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">South Sudan</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Adolescent girls&#x2014;BRAC 
                                    <break/>Adolescent Girls Initiatives
                                    <break/> (AGI). Groups for socializing,
                                    <break/> livelihoods, and life skills
                                    <break/> training.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Conflict of December
                                    <break/> 2013 (affected about half
                                    <break/> the sample). Girls were 
                                    <break/>affected if they answered
                                    <break/> &#x201c;yes&#x201d; to at least one of
                                    <break/> seven questions (house 
                                    <break/>looted, household member
                                    <break/> died, etc.).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">120 eligible villages were
                                    <break/> randomized to treatment or
                                    <break/> control. Cluster random sample
                                    <break/> of 35 girls from each village was 
                                    <break/>surveyed. 
                                    <italic toggle="yes">N</italic> = 3219 baseline 
                                    <break/>respondents (after dropping one 
                                    <break/>area due to security concerns). 
                                    <break/>Baseline survey in 2010. Extensive
                                    <break/> attrition resulted in random cross-
                                    <break/>section endline in 2014&#x2013;15 (not
                                    <break/> same girls as baseline). 
                                    <italic toggle="yes">N</italic> = 2273
                                    <break/> endline respondents; 
                                    <italic toggle="yes">n</italic> = 1558
                                    <break/> who answered all relevant survey
                                    <break/> questions. Intention-to-treat (ITT)
                                    <break/> impact estimated using endline
                                    <break/> cross-section only; model included
                                    <break/> interaction conflict*treat. Model 
                                    <break/>tested program impact for 40
                                    <break/> outcomes; no correction for multiple 
                                    <break/>hypothesis testing.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Employment: Several 
                                    <break/>subcomponents, including any
                                    <break/> income-generating activities 
                                    <break/>(IGAs), self-employment, wage 
                                    <break/>employment, farm/non-farm
                                    <break/> self-employment, income, 
                                    <break/>hours worked, control over 
                                    <break/>earnings.
                                    <break/>School enrollment: binary
                                    <break/> variable (currently enrolled in
                                    <break/> school=1).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Employment: Beneficial effects of program
                                    <break/> on employment were wiped out for girls
                                    <break/> affected by the conflict.
                                    <break/>School enrollment: Conflict led to 6.8
                                    <break/> percentage-point decrease in control 
                                    <break/>villages but no significant decrease 
                                    <break/>in enrollment in treatment villages (
                                    <italic toggle="yes">p</italic> &lt; 0.1).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Many other outcomes 
                                    <break/>examined (human
                                    <break/> capital, food security, 
                                    <break/>assets, empowerment, 
                                    <break/>savings, gender roles, 
                                    <break/>
                                    <italic toggle="yes">etc.</italic>). No meaningful
                                    <break/> differences between
                                    <break/> treatment and control 
                                    <break/>groups for conflict-
                                    <break/>affected girls.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Christian, P., Kandpal, E., Palaniswamy, N., &amp; Rao, V. 
                                    <break/>(2019). Safety nets and natural disaster mitigation:
                                    <break/> evidence from cyclone Phailin in Odisha. 
                                    <italic toggle="yes">Climatic </italic>
                                    <break/>
                                    <italic toggle="yes">Change, 153</italic>(1&#x2013;2), 141&#x2013;164. Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s10584-018-02364-8">https://</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s10584-018-02364-8">doi.org/10.1007/s10584-018-02364-8</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India (Odisha)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Women-only SHGs (formed 
                                    <break/>by Targeted Rural Initiatives 
                                    <break/>for Poverty Termination 
                                    <break/>and Infrastructure and the
                                    <break/> National Rural Livelihoods 
                                    <break/>Mission); SHGs were 
                                    <break/>federated and linked to 
                                    <break/>external public/private
                                    <break/> services.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cyclone Phailin (October
                                    <break/> 2013). Rainfall shock 
                                    <break/>measured continuously as
                                    <break/> natural log of deviations
                                    <break/> from monthly historical 
                                    <break/>median rainfall (validated 
                                    <break/>with use of surveys about 
                                    <break/>flooding, 
                                    <italic toggle="yes">etc.</italic> during
                                    <break/> Phailin).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quasi-experimental 
                                    <break/>(non-random
                                    <break/> assignment). Triple
                                    <break/> difference model to
                                    <break/> estimate ITT effect.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Assigned to treatment versus
                                    <break/> comparison at village/community
                                    <break/> level. Baseline balance table 
                                    <break/>suggests comparability. Baseline
                                    <break/> survey in 2011 and endline survey 
                                    <break/>in 2014 (
                                    <italic toggle="yes">N</italic> = 2874 households). 20 
                                    <break/>outcomes examined; no correction 
                                    <break/>for multiple hypothesis testing.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food consumption: Followed
                                    <break/> the Indian National Sample 
                                    <break/>Survey.
                                    <break/>Non-food consumption: 
                                    <break/>Followed the Indian National 
                                    <break/>Sample Survey.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food consumption: No significant 
                                    <break/>difference between treatment and 
                                    <break/>comparison households similarly impacted
                                    <break/>by shock; group membership did not 
                                    <break/>mitigate reductions in food expenditure
                                    <break/> after Phailin.
                                    <break/>Non-food consumption: Households in
                                    <break/> treatment villages spent, on average, 
                                    <break/>about 785 rupees more per capita than
                                    <break/> comparison households (
                                    <italic toggle="yes">p</italic> &lt; 0.05). That is,
                                    <break/> group membership offset the decline in 
                                    <break/>non-food expenditure after Phailin.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Large but nonsignificant
                                    <break/> coefficient on
                                    <break/> expenditures for 
                                    <break/>women&#x2019;s goods suggests
                                    <break/> that group membership
                                    <break/> may &#x201c;buffer&#x201d; some 
                                    <break/>of the reduction in
                                    <break/> this category. No
                                    <break/> significant differences
                                    <break/> in other categories of 
                                    <break/>expenditures.
                                    <break/>Significant increase
                                    <break/> in number of current
                                    <break/> loans held by treatment
                                    <break/> households.
                                    <break/>Of six civic engagement 
                                    <break/>outcomes, one was
                                    <break/> significant: Women in
                                    <break/> treatment villages were
                                    <break/> more likely to be aware
                                    <break/> of the last village council 
                                    <break/>meeting.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">De, S. (2011). 
                                    <italic toggle="yes">The whims of Indian monsoons: </italic>
                                    <break/>
                                    <italic toggle="yes">Long-term health consequences of early childhood</italic>
                                    <break/>
                                    <italic toggle="yes"> exposure to the Indian drought of 2002</italic>. Young Lives
                                    <break/> Student Paper. </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India (Andhra
                                    <break/> Pradesh)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Targeted program (IKP) to
                                    <break/> extend SHGs to rural poor 
                                    <break/>women (below the poverty 
                                    <break/>line). Program is government-
                                    <break/>sponsored, and SHGs are
                                    <break/>bank linked.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Drought of 2002 (driest 
                                    <break/>monsoon season since 
                                    <break/>1960). Districts were scored 
                                    <break/>as having been affected by
                                    <break/> the drought if rainfall was
                                    <break/> at least 20% deficient from
                                    <break/> long period average (shock
                                    <break/> is binary variable).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Longitudinal analysis; 
                                    <break/>non-random 
                                    <break/>assignment to
                                    <break/> treatment. Panel data 
                                    <break/>(three waves) analyzed
                                    <break/> with differenced 
                                    <break/>Gaussian mixture
                                    <break/> model (GMM) model.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Six (poorest) of 22 districts were 
                                    <break/>enrolled in program during 
                                    <break/>drought (not random). These six districts
                                    <break/> composed treatment group; other
                                    <break/> 16 districts served as comparison
                                    <break/> group. Three waves of Young Lives 
                                    <break/>survey (2002; 2007; 2009&#x2013;10)
                                    <break/> collected anthropometric data on 
                                    <break/>children. Balanced panel: Young
                                    <break/> cohort (born 2001&#x2013;02): 
                                    <italic toggle="yes">N</italic>=1259. 
                                    <break/>Older cohort (born 1994&#x2013;95): 
                                    <break/>
                                    <italic toggle="yes">N</italic>=802. Approximately 30% 
                                    <break/>attrition (non-random attrition 
                                    <break/>with no correction, but author 
                                    <break/>sees no evidence of attrition bias 
                                    <break/>on outcome data). Differenced
                                    <break/> GMM model with twice-lagged 
                                    <break/>health status to estimate impact 
                                    <break/>of household having access to IKP
                                    <break/> program during drought.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Health status: World Health 
                                    <break/>Organization height-for-age
                                    <break/> (HAZ) z score.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Health status: The drought had significant 
                                    <break/>negative impacts on both treatment and
                                    <break/> comparison groups (more severe for
                                    <break/> younger cohort). The coefficient on the
                                    <break/> interaction term of drought * program is 
                                    <break/>positive but not significant.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Demont, T. (2013). 
                                    <italic toggle="yes">Poverty, access to credit and</italic>
                                    <break/>
                                    <italic toggle="yes"> absorption of weather shocks: Evidence from Indian</italic>
                                    <break/>
                                    <italic toggle="yes"> self-help groups</italic>. CRED Working Paper.
                                    <break/>Demont, T. (2022). 
                                    <italic toggle="yes">Coping with shocks: How self-help</italic>
                                    <break/>
                                    <italic toggle="yes"> groups impact food security and migration. World</italic>
                                    <break/>
                                    <italic toggle="yes"> Development, 155, 105892.</italic> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India (Jharkhand)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Women-only SHGs; bank
                                    <break/> linked</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Rainfall shock (2004&#x2013;09). 
                                    <break/>Measured as a continuous
                                    <break/> variable; standardized
                                    <break/> difference from norm. 
                                    <break/>A 1 standard deviation
                                    <break/> (SD) reduction in rainfall
                                    <break/> (drought) resulted in an
                                    <break/> average loss of over 50% of
                                    <break/> agricultural yields.
                                    <break/>Rainfall shock (2004&#x2013;09).
                                    <break/> Measured as a binary
                                    <break/> variable. Shock is present if 
                                    <break/>rainfall was at least 0.5 SDs
                                    <break/> below norm (contrast with
                                    <break/> 
                                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quasi-experimental. 
                                    <break/>Random allocation
                                    <break/> at village level to
                                    <break/> treatment and control. 
                                    <break/>Random selection of 
                                    <break/>households analyzed
                                    <break/> using DD model.
                                    <break/>Self-selection into
                                    <break/> SHGs in treatment
                                    <break/> villages.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study participants were randomly
                                    <break/> selected from within a stratified 
                                    <break/>random sample of villages. A 
                                    <break/>random sample of households from
                                    <break/> comparison villages (no SHGs) was
                                    <break/> also included. Total sample size was
                                    <break/> 1080 households. Three rounds 
                                    <break/>of household panel data analyzed
                                    <break/> through DD technique.
                                    <break/>Same sample as 
                                    <xref ref-type="bibr" rid="ref-29">Demont (2013)</xref>. In
                                    <break/> the 2022 study, treatment is defined 
                                    <break/>as a household within a treatment
                                    <break/> village instead of a household 
                                    <break/>participating in an SHG (contrast 
                                    <break/>with 
                                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food consumption: Measured 
                                    <break/>with one-week recall survey, 
                                    <break/>administered right after
                                    <break/> harvest (when households 
                                    <break/>were likely to have extra)
                                    <break/>Food security: Annual survey
                                    <break/> asks household to recall 
                                    <break/>each month of past year: In 
                                    <break/>month X, could all household
                                    <break/> members enjoy three meals 
                                    <break/>per day?
                                    <break/>Credit: Survey about loans 
                                    <break/>taken in prior two years.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">After years with a negative rainfall shock,
                                    <break/> households in comparison villages lost, 
                                    <break/>on average, 1.6 months of adequate food, 
                                    <break/>while households in treatment villages
                                    <break/> lost 0.9 months on average. That is, 
                                    <break/>households in treatment villages realized 
                                    <break/>a 59% reduction (
                                    <italic toggle="yes">p</italic> &lt; 0.05) in loss of food 
                                    <break/>security during a rainfall shock.
                                    <break/>In the 2022 study, households in treatment
                                    <break/> villages experienced an average of one 
                                    <break/>month without sufficient food, compared
                                    <break/> to two months in control villages (p &lt; 0.10). 
                                    <break/>After a shock, households in treatment 
                                    <break/>villages increased their probability 
                                    <break/>of borrowing by ~16%, while control 
                                    <break/>households decreased their probability 
                                    <break/>of borrowing by ~50% - indicating that 
                                    <break/>treatment villages had better access to 
                                    <break/>credit after a shock.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Households in treatment
                                    <break/> villages were 35% more 
                                    <break/>likely to migrate for work 
                                    <break/>(and realized over a 40%
                                    <break/> increase in migration
                                    <break/> income or remittances)
                                    <break/> in the year after a rainfall
                                    <break/> shock than households
                                    <break/> in comparison villages.
                                    <break/>In the 2022 study, these
                                    <break/> estimates increase
                                    <break/> to 50% more likely to
                                    <break/> migrate, producing a 
                                    <break/>60% increase in income.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Garikipati, S. (2008). The impact of lending to
                                    <break/> women on household vulnerability and women&#x2019;s
                                    <break/> empowerment: Evidence from India. 
                                    <italic toggle="yes">World </italic>
                                    <break/>
                                    <italic toggle="yes">Development, 36</italic>(12), 2620&#x2013;2642. Retrieved from
                                    <break/> 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.worlddev.2007.11.008">https://doi.org/10.1016/j.worlddev.2007.11.008</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">India (Andhra
                                    <break/> Pradesh)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Women-only SHGs; bank
                                    <break/> linked</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Drought (2001&#x2013;02). 
                                    <break/>Respondents were asked 
                                    <break/>about their vulnerability
                                    <break/> during &#x201c;the last drought.&#x201d; 
                                    <break/>Drought as a shock is not 
                                    <break/>measured quantitatively; 
                                    <break/>it is perceived by the 
                                    <break/>respondent.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Not specified.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study design not specified. Surveyed 
                                    <break/>117 households (participated 
                                    <break/>in SHG) and 174 comparison 
                                    <break/>households in 2001; surveyed 
                                    <break/>again in 2002. Sample included
                                    <break/> only married-couple households, 
                                    <break/>and male/female respondents
                                    <break/> were chosen at random. Surveys 
                                    <break/>were used to construct binary
                                    <break/> vulnerability and empowerment
                                    <break/> indicators. T-tests determined 
                                    <break/>significant differences in means.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Drought-related vulnerability: 
                                    <break/>self-perceived ability to meet 
                                    <break/>needs. Points were given
                                    <break/> for each type of need the
                                    <break/> household was able to meet 
                                    <break/>during the last drought (
                                    <italic toggle="yes">e.g.,</italic>
                                    <break/> all food needs, health needs), 
                                    <break/>as well as if the household 
                                    <break/>avoided selling assets and
                                    <break/> expected to cope similarly in 
                                    <break/>next drought. Instrument was
                                    <break/> then collapsed into binary
                                    <break/> indicator for vulnerable/not 
                                    <break/>vulnerable, with cutoff around
                                    <break/> lowest 30th percentile.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">T-test revealed significant difference in
                                    <break/> means of drought-related vulnerability
                                    <break/> between treatment and comparison 
                                    <break/>households. 40% of treatment households 
                                    <break/>were not vulnerable compared to 26% of 
                                    <break/>comparison households (
                                    <italic toggle="yes">p</italic> &lt; 0.05). Logit 
                                    <break/>regression shows that duration in program
                                    <break/> is associated with higher probability of no
                                    <break/> vulnerability.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Treatment households 
                                    <break/>were more likely to have 
                                    <break/>livelihood diversification.
                                    <break/>Participation in SHGs
                                    <break/> is also associated
                                    <break/> with lower levels of 
                                    <break/>women&#x2019;s empowerment,
                                    <break/> sometimes referred to 
                                    <break/>as the &#x201c;impact paradox&#x201d;.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Jahns, E. (2014). 
                                    <italic toggle="yes">Savings groups, shocks and coping</italic>
                                    <break/>
                                    <italic toggle="yes"> strategies: The case of poor rural households in El</italic>
                                    <break/>
                                    <italic toggle="yes"> Salvador</italic> (Doctoral dissertation, Fletcher School of
                                    <break/> Law and Diplomacy, Tufts University).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">El Salvador
                                    <break/> (rural eastern;
                                    <break/> communities 
                                    <break/>with high poverty
                                    <break/> rates)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Savings groups facilitated 
                                    <break/>by NGO as part of larger 
                                    <break/>intervention involving 
                                    <break/>agricultural training and
                                    <break/> resources. Most groups
                                    <break/> consisted only of women, 
                                    <break/>some had only men, and
                                    <break/> some were mixed. Some 
                                    <break/>groups also incorporated
                                    <break/> emergency funds and/or 
                                    <break/>loans. No groups received 
                                    <break/>outside capital.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">High global market prices
                                    <break/> and bad harvests in 2010
                                    <break/> led to the Hungry Season
                                    <break/> of 2011.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random 
                                    <break/>assignment to
                                    <break/> treatment; non-
                                    <break/>random selection into 
                                    <break/>study. Comparison
                                    <break/> communities
                                    <break/> chosen for matching
                                    <break/> characteristics. Linear 
                                    <break/>probability model used 
                                    <break/>to estimate association 
                                    <break/>of treatment 
                                    <break/>community with
                                    <break/> outcome.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Case study with mixed-methods
                                    <break/> nested design. 13 communities 
                                    <break/>selected for maximum variation 
                                    <break/>(eight with savings groups; 
                                    <break/>five comparison selected on 
                                    <break/>matching characteristics). Heads of 
                                    <break/>households from each community
                                    <break/> randomly selected for study.
                                    <break/> Qualitative interviews conducted in
                                    <break/> 2010&#x2013;11 to structure quantitative 
                                    <break/>survey instrument administered in 
                                    <break/>2012. Linear probability model used
                                    <break/> to estimate association between
                                    <break/> living in community with savings
                                    <break/> groups and successful coping
                                    <break/> strategies. 
                                    <italic toggle="yes">N</italic>=276 households.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Successful coping: Binary
                                    <break/> variable. A household coped 
                                    <break/>successfully with the hungry
                                    <break/> season of 2011 (April&#x2013;August)
                                    <break/> if no one in the household 
                                    <break/>experienced hunger in the 
                                    <break/>previous 12 months (surveyed
                                    <break/> in 2012).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The coefficient on savings groups was
                                    <break/> consistently positive: Households in 
                                    <break/>communities with savings groups were 
                                    <break/>6.5 to 9.5 percentage points more likely
                                    <break/> to cope successfully with the shock
                                    <break/> (depending on choice of model). However, 
                                    <break/>significance of the coefficient is marginal
                                    <break/> at best and varies with choice of model 
                                    <break/>covariates.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Poorer households 
                                    <break/>were 2.7 percentage
                                    <break/> points more likely 
                                    <break/>to have successful 
                                    <break/>coping strategies
                                    <break/> (marginally significant; 
                                    <break/>not robust for model
                                    <break/> with community-level 
                                    <break/>controls). Household 
                                    <break/>heads with at least one 
                                    <break/>year of schooling had 
                                    <break/>a 9.9 percentage-point 
                                    <break/>increase in probability of
                                    <break/> having successful coping
                                    <break/> strategies (
                                    <italic toggle="yes">p</italic>=0.045).</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kaboski, J. P., &amp; Townsend, R. M. (2005). Policies and
                                    <break/> impact: An analysis of village-level microfinance
                                    <break/> institutions. 
                                    <italic toggle="yes">Journal of the European Economic </italic>
                                    <break/>
                                    <italic toggle="yes">Association, 3</italic>(1), 1&#x2013;50. Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1162/1542476053295331">https://doi.</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1162/1542476053295331">org/10.1162/1542476053295331</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Thailand (rural 
                                    <break/>and semi-urban)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Microfinance institutions
                                    <break/> (multiple types). Production
                                    <break/> credit groups (PCGs) are less
                                    <break/> likely to contain the poorest 
                                    <break/>in a village but more likely
                                    <break/> to consist of mostly women.
                                    <break/>PCGs operate like VSLAs; 
                                    <break/>may receive start-up capital 
                                    <break/>but are not linked to larger 
                                    <break/>intermediation network. 
                                    <break/>Women&#x2019;s groups overlap in
                                    <break/> saving/lending functions with
                                    <break/> PCGs but usually also contain
                                    <break/> a training/livelihoods element
                                    <break/> for example with a focus on 
                                    <break/>rice banks and buffalo banks.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">A &#x201c;bad year.&#x201d; Year is
                                    <break/> identified through 
                                    <break/>household self-report&#x2014;
                                    <break/>lowest income year in 
                                    <break/>last five years (1992&#x2013;97). 
                                    <break/>Unclear whether this 
                                    <break/>represents covariate shock.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random 
                                    <break/>assignment to 
                                    <break/>treatment. Cross-
                                    <break/>sectional survey of 
                                    <break/>random selection of
                                    <break/> households. Two-
                                    <break/>stage least squares
                                    <break/> (2SLS) and maximum
                                    <break/> likelihood estimation
                                    <break/> (MLE) models used to
                                    <break/> estimate association of 
                                    <break/>microfinance institution
                                    <break/> with outcome.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster random selection of 192 
                                    <break/>survey villages, 15 households from
                                    <break/> each village (
                                    <italic toggle="yes">n</italic>=2880). Household 
                                    <break/>survey administered in May 1997 
                                    <break/>(cross-sectional). 2SLS and MLE 
                                    <break/>models constructed to measure
                                    <break/> association of microfinance
                                    <break/> institution with likelihood of 
                                    <break/>reducing consumption. Multiple
                                    <break/> variations of institutions tested; no
                                    <break/> correction for multiple hypothesis
                                    <break/> testing.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reduced consumption/input 
                                    <break/>use: Households were asked
                                    <break/> to identify the worst income
                                    <break/> year in the past 5 years and
                                    <break/> indicate whether they had to
                                    <break/> reduce consumption or inputs
                                    <break/> for that year. </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Households in villages with microfinance
                                    <break/> institutions that offered savings services
                                    <break/> were 12 to 18 percentage points less
                                    <break/> likely to reduce consumption in a bad year
                                    <break/> (though significance was not robust to
                                    <break/> specific savings service evaluated).
                                    <break/>Analyses focusing only on women&#x2019;s 
                                    <break/>groups or PCGs (instead of lumping all
                                    <break/> microfinance institutions together as the
                                    <break/> &#x201c;treatment&#x201d;) did not produce significant 
                                    <break/>differences with regard to consumption
                                    <break/> smoothing in a bad year.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Households in villages
                                    <break/> with microfinance 
                                    <break/>institutions that offered
                                    <break/> emergency services
                                    <break/> were 20 percentage 
                                    <break/>points less likely to 
                                    <break/>reduce consumption in a
                                    <break/> bad year.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Karlan, D., Savonitto, B., Thuysbaert, B., &amp; Udry,
                                    <break/> C. (2017). Impact of savings groups on the lives
                                    <break/> of the poor. 
                                    <italic toggle="yes">Proceedings of the National Academy</italic>
                                    <break/>
                                    <italic toggle="yes"> of Sciences, 114</italic>(12), 3079&#x2013;3084. Retrieved from
                                    <break/> 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1073/pnas.1611520114">https://doi.org/10.1073/pnas.1611520114</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ghana, Malawi,
                                    <break/> Uganda (pooled
                                    <break/> RCTs)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mostly women VSLAs 
                                    <break/>established by NGOs. Not 
                                    <break/>linked to outside capital.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Drought (2009&#x2013;11). Annual
                                    <break/> rainfall less than 1 SD below
                                    <break/> average for 12 months
                                    <break/> before endline survey. 
                                    <break/>Only a subset of villages 
                                    <break/>experienced the shock
                                    <break/> (none in Ghana).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster RCTs (pooled across three 
                                    <break/>countries). Stratified random 
                                    <break/>assignment of 561 village clusters
                                    <break/> to treatment or control. Households 
                                    <break/>randomly selected (
                                    <italic toggle="yes">N</italic>=15,221). 
                                    <break/>Baseline and endline surveys,
                                    <break/> studies conducted over a period of 
                                    <break/>22 to 30 months. Pooled model with
                                    <break/> ITT estimates, adjusted for multiple
                                    <break/> hypothesis testing.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Food security: Index composed 
                                    <break/>of five binary indicators, 
                                    <break/>12-month recall (adult/child 
                                    <break/>reducing food intake adult/
                                    <break/>child going a full day without 
                                    <break/>food, borrowing food).
                                    <break/>Income: Self-reported
                                    <break/> revenues minus expenses 
                                    <break/>for all IGAs carried out by the
                                    <break/> household in the 12 months 
                                    <break/>before the survey.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No significant impacts when adjusting for
                                    <break/> multiple hypothesis testing.
                                    <break/>Food security: Drought significantly
                                    <break/> reduced food security for control
                                    <break/> households by 0.119 SD (adjusted 
                                    <italic toggle="yes">p</italic>
                                    <break/> &lt; 0.05), but there was no significant 
                                    <break/>difference between treatment and control
                                    <break/> households (adjusted 
                                    <italic toggle="yes">p</italic>=0.26).
                                    <break/>Income: After the drought, treatment
                                    <break/> households had, on average, 26.40 USD
                                    <break/> more in income than control households,
                                    <break/> but statistical significance disappears 
                                    <break/>when adjusting for multiple hypothesis
                                    <break/> testing (
                                    <italic toggle="yes">p</italic> &lt; 0.1; adjusted 
                                    <italic toggle="yes">p</italic>=0.26).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No significant
                                    <break/> differences between 
                                    <break/>treatment and control 
                                    <break/>groups for business 
                                    <break/>outcomes, asset index, 
                                    <break/>per capita consumption,
                                    <break/> or community
                                    <break/> participation index.
                                    <break/>Women&#x2019;s empowerment: 
                                    <break/>For households not
                                    <break/> experiencing a shock,
                                    <break/> the treatment group
                                    <break/> displayed increases in
                                    <break/> women&#x2019;s empowerment.
                                    <break/> However, for households
                                    <break/> experiencing drought, 
                                    <break/>the coefficient on 
                                    <break/>women&#x2019;s empowerment
                                    <break/> was negative for
                                    <break/> treatment households 
                                    <break/>( 0.119 SD; 
                                    <italic toggle="yes">p</italic> &lt; 0.05;
                                    <break/> adjusted 
                                    <italic toggle="yes">p</italic>=0.26).</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ksoll, C., Lille&#x00f8;r, H. B., L&#x00f8;nborg, J. H., &amp; Rasmussen, 
                                    <break/>O. D. (2016). Impact of village savings and loan 
                                    <break/>associations: Evidence from a cluster randomized 
                                    <break/>trial. 
                                    <italic toggle="yes">Journal of Development Economics, 120</italic>, 70&#x2013;85.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Malawi (northern 
                                    <break/>rural)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gender of groups not
                                    <break/> specified. VSLAs, no access
                                    <break/> to outside capital. Article
                                    <break/> stresses that common
                                    <break/> VSLA policy is to time the
                                    <break/> share-out to periods in which 
                                    <break/>households are likely the
                                    <break/> most resource constrained.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">This paper does not
                                    <break/> focus on a shock, but one 
                                    <break/>outcome of interest is
                                    <break/> the length of the &#x201c;hungry 
                                    <break/>period,&#x201d; a lean season in
                                    <break/> which household members
                                    <break/> eat fewer than three 
                                    <break/>meals per day. Data were 
                                    <break/>measured in 2009 and
                                    <break/> 2011; no discussion of how
                                    <break/> the hungry period during
                                    <break/> this time frame compares
                                    <break/> to average.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster RCT. 46 villages randomly 
                                    <break/>assigned (within strata) to either 
                                    <break/>treatment (NGO-implemented 
                                    <break/>VSLAs) or wait-list control. Baseline 
                                    <break/>and endline household surveys 
                                    <break/>(
                                    <italic toggle="yes">n</italic>=1775 households). 45% of 
                                    <break/>treatment households participated
                                    <break/> in VSLA; 21% of control households
                                    <break/> participated in VSLA (spillover).
                                    <break/> 3% attrition. Outcomes of interest
                                    <break/> were assessed with four different
                                    <break/> ITT model specifications (mean 
                                    <break/>difference, lagged, DD, first-
                                    <break/>difference). 
                                    <italic toggle="yes">P</italic> values corrected for 
                                    <break/>multiple hypothesis testing. Sample
                                    <break/> was balanced at baseline.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Length of hungry period:
                                    <break/> How many months in the past 
                                    <break/>year did household members 
                                    <break/>eat fewer than three meals 
                                    <break/>per day?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">There was no significant impact on the 
                                    <break/>length of the hunger period.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The paper examined 
                                    <break/>the impact of VSLA 
                                    <break/>participation on a 
                                    <break/>number of different 
                                    <break/>outcomes, but none of
                                    <break/> the other outcomes was 
                                    <break/>associated with a shock.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Story, W. T., Tura, H., Rubin, J., Engidawork, B.,
                                    <break/> Ahmed, A., Jundi, F., . . . Abrha, T. H. (2020). Social
                                    <break/>capital and disaster preparedness in Oromia,
                                    <break/> Ethiopia: An evaluation of the &#x201c;Women Empowered&#x201d;
                                    <break/> approach. 
                                    <italic toggle="yes">Social Science &amp; Medicine, 257</italic>,
                                    <break/> 111907. Retrieved from 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.socscimed.2018.08.027">https://doi.org/10.1016/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.socscimed.2018.08.027">j.socscimed.2018.08.027</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ethiopia (Oromia)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Project Concern
                                    <break/> International&#x2019;s Women
                                    <break/> Empowered approach.
                                    <break/> Women-led VSL; included
                                    <break/> programming on 
                                    <break/>empowerment and business
                                    <break/> skills. Does not appear to
                                    <break/> have included linkages to
                                    <break/> external capital.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Residents had been 
                                    <break/>affected by 2015&#x2013;16 
                                    <break/>drought (one of the worst 
                                    <break/>droughts on record).
                                    <break/> Study conducted in 2017. 
                                    <break/>Exposure to past shock 
                                    <break/>measured as binary
                                    <break/> indicator of any loss of 
                                    <break/>income in last three years
                                    <break/> due to a disaster (&gt; 90%
                                    <break/> respondents exposed). Also
                                    <break/> included binary indicator if 
                                    <break/>whole household migrated 
                                    <break/>in search of pasture/water.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quasi-experimental 
                                    <break/>(self-selection into
                                    <break/>treatment). Cluster 
                                    <break/>random selection of
                                    <break/> sample. T tests and 
                                    <break/>Poisson regression 
                                    <break/>used to compare 
                                    <break/>outcomes between 
                                    <break/>groups.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study district contained eight 
                                    <break/>treatment villages and 19
                                    <break/> comparison villages (not randomly
                                    <break/> assigned). Random selection of 29
                                    <break/> women&#x2019;s empowerment groups 
                                    <break/>within eight treatment villages,
                                    <break/> followed by random selection
                                    <break/> of 10 to 11 women from each
                                    <break/> group (self-selection into groups).
                                    <break/> In comparison villages, random
                                    <break/> selection of 10 villages and 28&#x2013;30
                                    <break/> women from each village. 
                                    <italic toggle="yes">N</italic> = 589.
                                    <break/> Survey administered in July 2017.
                                    <break/> T-tests used to compare treatment 
                                    <break/>and comparison for preparedness
                                    <break/> outcomes. Poisson regression used
                                    <break/> to control for shock exposure (and
                                    <break/> other covariates).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Whether or not household 
                                    <break/>had taken actions to prepare
                                    <break/> for a disaster: single survey
                                    <break/> question; actions included 
                                    <break/>diversification, insurance, 
                                    <break/>savings, 
                                    <italic toggle="yes">etc.</italic> Binary variable.
                                    <break/>Self-perceived preparedness:
                                    <break/> Survey asked, &#x201c;How prepared
                                    <break/> would you say you are for a
                                    <break/> major natural or man-made
                                    <break/> disaster in your community?&#x201d;
                                    <break/> Those who reported &#x201c;not
                                    <break/> prepared at all&#x201d; were coded 
                                    <break/>as 0; all other levels of 
                                    <break/>preparedness were coded as 1.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Preparedness actions: In a model with no 
                                    <break/>covariates, preparedness actions were
                                    <break/> 37% more prevalent among women in 
                                    <break/>the treatment group (
                                    <italic toggle="yes">p</italic> &lt; 0.01). However,
                                    <break/> this finding was not significant in
                                    <break/> models controlling for social capital and
                                    <break/> respondent characteristics.
                                    <break/>Self-perceived preparedness: In a 
                                    <break/>model with no covariates, self-perceived
                                    <break/> preparedness was 52% more prevalent
                                    <break/> among women in the treatment group
                                    <break/> (
                                    <italic toggle="yes">p</italic> &lt; 0.01). However, this finding was not 
                                    <break/>significant in models controlling for social
                                    <break/> capital and respondent characteristics.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">The study also examined
                                    <break/> the mediating role
                                    <break/> of social capital in 
                                    <break/>disaster preparedness. 
                                    <break/>Emotional support 
                                    <break/>may have been an 
                                    <break/>important mediator in 
                                    <break/>the relationship between
                                    <break/> group membership and 
                                    <break/>perceived preparedness.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tol, W. A., Leku, M. R., Lakin, D. P., Carswell, K.,
                                    <break/> Augustinavicius, J., Adaku, A., . . . van Ommeren, M.
                                    <break/> (2020). Guided self-help to reduce psychological 
                                    <break/>distress in South Sudanese female refugees in
                                    <break/> Uganda: A cluster randomised trial. 
                                    <italic toggle="yes">The Lancet </italic>
                                    <break/>
                                    <italic toggle="yes">Global Health, 8</italic>(2), e254&#x2013;e263. Retrieved from
                                    <break/> 
                                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/s2214-109x(19)30504-2">https://doi.org/10.1016/s2214-109x(19)30504-2</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Uganda (refugee 
                                    <break/>settlement in 
                                    <break/>North)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Refugee women (South 
                                    <break/>Sudanese) with at least
                                    <break/> moderate psychological 
                                    <break/>distress (many exposed to
                                    <break/> high levels of GBV). Women 
                                    <break/>assigned to groups of 20&#x2013;30 
                                    <break/>to receive Self Help Plus
                                    <break/> intervention. Facilitator-
                                    <break/>guided intervention was
                                    <break/> delivered as a group 
                                    <break/>workshop but also contained
                                    <break/> individual components 
                                    <break/>(meeting with community 
                                    <break/>health worker). Intervention
                                    <break/> consisted of five weekly
                                    <break/> workshop sessions.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Conflict in South Sudan
                                    <break/> (ongoing; study conducted
                                    <break/> in 2017). Female refugee
                                    <break/> population with high levels 
                                    <break/>of post-traumatic stress 
                                    <break/>disorder from exposure to
                                    <break/> GBV and conflict.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cluster RCT.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fourteen villages randomly assigned
                                    <break/> to either treatment or control; 
                                    <break/>40&#x2013;60 households randomly
                                    <break/> selected within each village. 
                                    <italic toggle="yes">N</italic>=694 
                                    <break/>women. Participants were surveyed
                                    <break/> at baseline, immediately after 
                                    <break/>five-week intervention, and at three-
                                    <break/>month follow-up. 10% attrition (not 
                                    <break/>differential; listwise deletion from 
                                    <break/>analysis).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Psychological distress: Kessler
                                    <break/> six-item scale. Scores ranged
                                    <break/> from 0&#x2013;24. 5 is cutoff for
                                    <break/> moderate distress, 13 for
                                    <break/> severe.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Psychological distress: K6 scores were
                                    <break/> lower, on average, for both treatment 
                                    <break/>and control groups over time. At week 6
                                    <break/> (immediately after intervention), women
                                    <break/> in treatment group scored, on average,
                                    <break/> 3.25 percentage points lower on the K6
                                    <break/> than women in control group (
                                    <italic toggle="yes">p</italic> &lt; 0.001).
                                    <break/> At three-month follow-up, women in 
                                    <break/>treatment group scored, on average, 1.20 
                                    <break/>percentage points lower than women in
                                    <break/> control group (
                                    <italic toggle="yes">p</italic> = 0.04).
                                    <break/>Subanalysis of women with severe distress
                                    <break/> (scores of at least 13 on K6) showed
                                    <break/> significant reduction in proportion of 
                                    <break/>treatment group scoring in the &#x201c;severe&#x201d; 
                                    <break/>category at week six and at three-month
                                    <break/> follow-up. Due largely due to fewer women
                                    <break/> in treatment group deteriorating than in
                                    <break/> the control group.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">At three-month follow-
                                    <break/>up, treatment was 
                                    <break/>also associated with
                                    <break/> improved outcomes
                                    <break/> on post-traumatic 
                                    <break/>stress and depression
                                    <break/> symptoms, explosive
                                    <break/> anger, and functional 
                                    <break/>well-being.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Weing&#x00e4;rtner, L., Pichon, F., &amp; Simonet, C. (2017). 
                                    <break/>
                                    <italic toggle="yes">How self-help groups strengthen resilience: A </italic>
                                    <break/>
                                    <italic toggle="yes">study of Tearfund&#x2019;s approach to tackling food </italic>
                                    <break/>
                                    <italic toggle="yes">insecurity in protracted crises in Ethiopia</italic>. Overseas
                                    <break/> Development Institute (ODI) Report. Retrieved from
                                    <break/> 
                                    <ext-link ext-link-type="uri" xlink:href="https://www.odi.org/sites/odi.org.uk/files/resource-documents/11625.pdf">https://www.odi.org/sites/odi.org.uk/files/resource-</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.odi.org/sites/odi.org.uk/files/resource-documents/11625.pdf">documents/11625.pdf</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ethiopia (Ofa and 
                                    <break/>Kindo Koysha)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NGO established SHGs, 
                                    <break/>broad range of activities that
                                    <break/> included savings and loans.
                                    <break/> No start-up capital; linkages
                                    <break/> to external capital not 
                                    <break/>apparent for this study site.
                                    <break/> Marginalized women were
                                    <break/> specific target, but groups
                                    <break/> also included men.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Residents had been
                                    <break/> affected by 2015&#x2013;16 
                                    <break/>drought (one of the worst 
                                    <break/>droughts on record). Study
                                    <break/> conducted in 2017.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random 
                                    <break/>assignment to
                                    <break/> treatment; non-random
                                    <break/> selection of sample. 
                                    <break/>Cross-sectional, 
                                    <break/>qualitative study.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random selection of study 
                                    <break/>participants (SHG members and
                                    <break/> non-members) from nine study 
                                    <break/>villages (
                                    <italic toggle="yes">n</italic>=252). Qualitative 
                                    <break/>interviews and surveys conducted in
                                    <break/> 2017 (cross-sectional).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Themes of qualitative 
                                    <break/>interviews included reliance
                                    <break/> on predatory lenders, risk 
                                    <break/>diversification, and shock 
                                    <break/>resilience.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No quantitative results. Interviews revealed 
                                    <break/>that SHGs provided a way to avoid
                                    <break/> predatory lenders and that SHG members
                                    <break/> were better off than non-members in a
                                    <break/> drought. Diversification in food-supply
                                    <break/> structures seemed to contribute to higher
                                    <break/> food security for SHG members. SHG
                                    <break/> members were also more likely to store
                                    <break/> foodstuffs or accumulate savings.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">SHG members appeared 
                                    <break/>to be more prepared
                                    <break/> than non-members for
                                    <break/> future shocks.
                                    <break/>SHG ability to combat 
                                    <break/>covariate shock was
                                    <break/> limited because
                                    <break/> communal resources
                                    <break/> were strained; draining 
                                    <break/>communal resources
                                    <break/>during a drought meant
                                    <break/> less for productive use
                                    <break/> later. SHG membership
                                    <break/> is not a replacement for
                                    <break/> formal social protection
                                    <break/> during a shock.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wineman, A., Mason, N. M., Ochieng, J., &amp; Kirimi, L.
                                    <break/> (2017). Weather extremes and household welfare in 
                                    <break/>rural Kenya. 
                                    <italic toggle="yes">Food Security, 9</italic>(2), 281&#x2013;300.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Kenya (southern
                                    <break/> rural)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gender not specified. 
                                    <break/>Membership in savings group 
                                    <break/>was coded as 1 if any member 
                                    <break/>of the household belonged to
                                    <break/> a savings group.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Rainfall, temperature, and 
                                    <break/>wind shocks from 2000&#x2013;07.
                                    <break/> Measured as cumulative
                                    <break/> days over/under thresholds
                                    <break/> (
                                    <italic toggle="yes">e.g.,</italic> cumulative wind
                                    <break/> speed days over 5 m/s).
                                    <break/> Low rainfall was found to
                                    <break/> be more consistently severe
                                    <break/> than higher rainfall.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random 
                                    <break/>assignment to savings 
                                    <break/>group. Longitudinal 
                                    <break/>panel regression,
                                    <break/> with household fixed
                                    <break/> effects.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Longitudinal household panel
                                    <break/> survey (2000, 2004, 2007) alongside
                                    <break/> weather data. Household outcomes
                                    <break/> were examined, with participation 
                                    <break/>in a savings group examined as a 
                                    <break/>mitigating factor in rainfall deficits
                                    <break/> (no random assignment). 
                                    <italic toggle="yes">N</italic>=1264
                                    <break/> households.
                                    <break/>
                                    <italic toggle="yes">Note</italic>. Study design was to measure
                                    <break/> effect of weather shock on
                                    <break/> household; not designed to identify 
                                    <break/>impact attributable to savings
                                    <break/> group.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Household poverty status:
                                    <break/> binary variable indicating
                                    <break/> whether household was below
                                    <break/> the poverty line for rural Kenya
                                    <break/> (income/AE/day &#x2264; 67 Kenyan 
                                    <break/>Shilling)
                                    <break/>Household income: income per
                                    <break/> adult equivalent (AE) per day, 
                                    <break/>measured in Kenyan shillings
                                    <break/> (Ksh).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Membership in a savings group had
                                    <break/> a positive but nonsignificant effect on
                                    <break/> whether or not a rainfall deficit pushed a 
                                    <break/>household below the poverty line (-0.07; 
                                    <break/>
                                    <italic toggle="yes">p</italic>=0.16).
                                    <break/>Membership in a savings group was
                                    <break/> associated with significantly higher
                                    <break/> household income during a rainfall deficit 
                                    <break/>(coefficients not reported).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Access to credit was also
                                    <break/> a significant mitigating
                                    <break/> factor, but paper does
                                    <break/> not specify group-based
                                    <break/> informal credit.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yaron, G., Wilson, D., Dumble, S., &amp; Murphy, B.
                                    <break/> (2017). Measuring changes in household resilience 
                                    <break/>as a result of BRACED activities in Myanmar. London,
                                    <break/> UK: Building Resilience and Adaptation to Climate
                                    <break/> Extremes and Disasters (BRACED). Retrieved from
                                    <break/> 
                                    <ext-link ext-link-type="uri" xlink:href="https://www.itad.com/wp-content/uploads/2018/05/DFID-BRACED_EA3-Impact-Evaluation_Myanmar_Final_Shared.pdf">https://www.itad.com/wp-content/uploads/2018/05/</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.itad.com/wp-content/uploads/2018/05/DFID-BRACED_EA3-Impact-Evaluation_Myanmar_Final_Shared.pdf">DFID-BRACED_EA3-Impact-Evaluation_Myanmar_</ext-link>
                                    <break/>
                                    <ext-link ext-link-type="uri" xlink:href="https://www.itad.com/wp-content/uploads/2018/05/DFID-BRACED_EA3-Impact-Evaluation_Myanmar_Final_Shared.pdf">Final_Shared.pdf</ext-link> </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Myanmar</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">BRACED implemented 
                                    <break/>Community Resilience
                                    <break/> Assessments (CRAs) that
                                    <break/> included VSLAs, trainings, 
                                    <break/>and infrastructure. Impacts 
                                    <break/>were estimated for entire 
                                    <break/>intervention and not 
                                    <break/>attributable to VSLAs alone.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Study set in multihazard 
                                    <break/>context. Impact of past
                                    <break/> climate shocks was still
                                    <break/> felt, and future shocks are
                                    <break/> anticipated to grow worse. 
                                    <break/>Most households reported
                                    <break/> exposure to shock in last 
                                    <break/>10 years at baseline; &lt; 20% 
                                    <break/>households reported 
                                    <break/>exposure to shock between 
                                    <break/>baseline and endline.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Non-random 
                                    <break/>assignment to 
                                    <break/>treatment. DD model 
                                    <break/>to estimate impact of 
                                    <break/>treatment on outcome.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Stratified random sample of
                                    <break/> households in treatment and
                                    <break/> comparison communities.
                                    <break/> Comparison communities selected 
                                    <break/>based on geographic proximity and
                                    <break/> criteria similar to those of treatment
                                    <break/> areas. Baseline (2015) and endline
                                    <break/> (2017) household surveys. 
                                    <italic toggle="yes">N</italic>=2168,
                                    <break/> 7% attrition (not different for
                                    <break/> treatment or comparison; slightly 
                                    <break/>different for outcome). Impact on
                                    <break/> outcome (composite resilience
                                    <break/> index) estimated using DD analysis.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Resilience index: Composite 
                                    <break/>index of five resilience
                                    <break/> dimensions, measured with
                                    <break/> 30 questions on household
                                    <break/> survey. Produced continuous
                                    <break/> score between 0&#x2013;1.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Households in treatment villages realized, 
                                    <break/>on average, an 18% increase in overall
                                    <break/> resilience index scores, while households
                                    <break/> in comparison villages realized a 14%
                                    <break/> increase (
                                    <italic toggle="yes">p</italic>=0.002).
                                    <break/>In a subsample (
                                    <italic toggle="yes">n</italic>=400) of individual
                                    <break/> intervention components, VSLAs 
                                    <break/>showed significant impact on improved
                                    <break/> resilience scores in two of eight villages 
                                    <break/>(nonsignificant results in six of eight).</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female-headed
                                    <break/> households and 
                                    <break/>households with more
                                    <break/> assets tended to benefit
                                    <break/> more from intervention
                                    <break/> (this was not measured
                                    <break/> specifically with respect 
                                    <break/>to experiencing a shock).
                                    <break/>No indication that 
                                    <break/>intervention increased
                                    <break/> food security.</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The majority of the empirical studies (13 of 20) examined resilience to a weather shock. These weather shocks varied in terms of severity and acuteness, and this review includes evidence of groups providing resilience to seasonal hunger periods as well as to droughts, monsoons, and other climate disasters.</p>
                <p>Resilience was most commonly measured using some indicator of consumption, such as changes in food security or household expenditures, and seven studies provided evidence that women&#x2019;s group member households tended to be better able to smooth consumption during covariate weather shocks than non-member households (
                    <xref ref-type="bibr" rid="ref-5">Bahadur 
                        <italic toggle="yes">et al.,</italic> 2016</xref>; 
                    <xref ref-type="bibr" rid="ref-8">BARA &amp; IPA, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-21">Christian 
                        <italic toggle="yes">et al.,</italic> 2019</xref>; 
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-30">Demont, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref-39">Garikipati, 2008</xref>; 
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). It is important to note that, while consumption tended to be higher for member households than non-member households, membership in a women&#x2019;s group seldom fully mitigated the effect of the weather shock. That is, the shock reduced consumption for all households, but member households experienced less of a reduction in consumption than non-member households; their increased absorptive capacity provided the ability to absorb more of the shock before reducing consumption. For example, 
                    <xref ref-type="bibr" rid="ref-30">Demont (2022)</xref> surveyed households in India about the number of months in the past year that households had to reduce food consumption, finding that households in villages with women&#x2019;s groups realized nearly 50% less of a reduction in food security during a rainfall shock (compared to households in villages without women&#x2019;s groups). 
                    <xref ref-type="bibr" rid="ref-21">Christian 
                        <italic toggle="yes">et al.</italic> (2019)</xref> found no significant impact of women&#x2019;s groups on food consumption in the year after Cyclone Phailin &#x2013; but did find that households in treatment villages spent significantly more per capita (785 Rs) on non-food consumption after the shock. Women&#x2019;s group members also tended to have higher household income after weather shocks (
                    <xref ref-type="bibr" rid="ref-30">Demont, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.,</italic> 2017</xref>; 
                    <xref ref-type="bibr" rid="ref-80">Wineman 
                        <italic toggle="yes">et al.,</italic> 2017</xref>), as well as better disaster preparedness strategies than non-members &#x2013; indicative of increased adaptive capacity (
                    <xref ref-type="bibr" rid="ref-73">Story 
                        <italic toggle="yes">et al.,</italic> 2020</xref>; 
                    <xref ref-type="bibr" rid="ref-78">Weing&#x00e4;rtner 
                        <italic toggle="yes">et al.,</italic> 2017</xref>; 
                    <xref ref-type="bibr" rid="ref-81">Yaron 
                        <italic toggle="yes">et al.,</italic> 2018</xref>).</p>
                <p>However, two studies using food security and nutrition-related outcomes found no evidence that membership in a women&#x2019;s group provided benefits during a weather shock. One study examined the length of time households subsisted on less than three meals per day and found no difference between the treatment and control group (
                    <xref ref-type="bibr" rid="ref-56">Ksoll 
                        <italic toggle="yes">et al.,</italic> 2016</xref>). The other study found no significant benefit of group membership amongst households when examining child development outcomes several years post-drought (
                    <xref ref-type="bibr" rid="ref-27">De, 2011</xref>).</p>
                <p>Three studies in sub-Saharan Africa provide mixed results on the ability of group membership to increase resilience to conflict shocks. Victims of conflict-related sexual violence participating in VSLAs in the DRC realized group benefits of increased food expenditure and decreased internalized stigma, but the study found no statistically significant differences between group members and non-group members for additional mental health and economic outcomes (
                    <xref ref-type="bibr" rid="ref-9">Bass 
                        <italic toggle="yes">et al.,</italic> 2016</xref>). Similarly, adolescent girls living in the midst of conflict in South Sudan did not achieve the economic outcomes the group was designed to provide, but they did enroll in school at higher rates post-conflict than non-group adolescents (
                    <xref ref-type="bibr" rid="ref-16">Buehren 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). Neither of these two studies focused on groups specifically designed to mitigate the effects of these conflict shocks, but a third study conducted after civil unrest in Uganda measured the effect of interventions with specific mental health programming by newly formed groups and found that women in these group-based interventions had less psychological distress and better mental health than women in the comparison group (
                    <xref ref-type="bibr" rid="ref-76">Tol 
                        <italic toggle="yes">et al.</italic>, 2020</xref>).</p>
                <p>This review also includes two studies on the importance of access to savings and credit through women&#x2019;s groups during price shocks, as well as a study of adolescent girls&#x2019; groups during the Ebola outbreak (detailed in Section Spotlight on Women&#x2019;s Groups and Ebola). During a year of high price volatility, members of savings groups in El Salvador were 9.5 percentage points more likely to avoid experiencing hunger than non-member households (
                    <xref ref-type="bibr" rid="ref-49">Jahns, 2014</xref>). Likewise in Thailand, households in villages with microfinance groups were better able to smooth consumption than control villages in periods of widespread economic hardship (
                    <xref ref-type="bibr" rid="ref-50">Kaboski &amp; Townsend, 2005</xref>).</p>
                <p>During shocks to income and resources, access to group-based credit is an important mechanism for a household&#x2019;s absorptive capacity, as credit can help to smooth consumption, reduce asset loss, and allows borrowers to avoid predatory lenders (
                    <xref ref-type="bibr" rid="ref-78">Weing&#x00e4;rtner 
                        <italic toggle="yes">et al.,</italic> 2017</xref>), especially when credit conditions are flexible (
                    <xref ref-type="bibr" rid="ref-52">Khandker 
                        <italic toggle="yes">et al.,</italic> 2015</xref>). However, as described in the previous section, covariate shocks may deplete group resources to the extent that loans are not available to members &#x2013; especially if the group is not formally linked to a broader network or a financial institution (
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-40">Gash &amp; Gray, 2016</xref>). In cases where group-based credit is not available during a covariate shock, the savings and information sharing mechanisms of women&#x2019;s groups may be paramount (
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). The accountability and regular commitment of savings groups ensure that members have greater absorptive capacity through accumulated savings, while access to information networks about crop diversification strategies and labor opportunities allows members to increase their adaptive capacity by smoothing income during shocks (
                    <xref ref-type="bibr" rid="ref-29">Demont, 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-30">Demont, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.,</italic> 2017</xref>). Mechanisms of shifting gender norms, empowerment, and collective action and mobilization may contribute to the transformative resilience of women&#x2019;s group members during shocks (
                    <xref ref-type="bibr" rid="ref-45">Gram 
                        <italic toggle="yes">et al.,</italic> 2019</xref>), which is described in more detail in Section 
                    <italic toggle="yes">How Do Women&#x2019;s Groups Support Community Responses to Shocks?</italic>.</p>
                <p>However, the literature also revealed certain limitations with regard to the ability of women&#x2019;s groups to contribute to individual resilience during a shock. Women&#x2019;s groups may not benefit all members equally, and improved resilience for member households does not always equate to improved resilience for the woman herself. There are very few subgroup analyses in the reviewed studies, and we know little about the potential differential impacts of women&#x2019;s groups on members. Compulsory savings may also reduce the ability of the poorest women to join groups even when this mechanism contributes to increased member resilience. Additionally, 
                    <xref ref-type="bibr" rid="ref-39">Garikipati (2008)</xref> and 
                    <xref ref-type="bibr" rid="ref-51">Karlan 
                        <italic toggle="yes">et al.</italic> (2017)</xref> find that group-attributable improvements in household resilience may coincide with decreases in women&#x2019;s empowerment outcomes around household decision-making and control of productive assets. Finally, the most vulnerable women in a community may be excluded from or forced out of groups due to negative perceptions of the poor (
                    <xref ref-type="bibr" rid="ref-47">Hossain &amp; Rahman, 2018</xref>). These findings caution against the idea of interventions with women&#x2019;s groups as sufficient to equitably support member resilience without addressing structural inequities.</p>
                <p>
                    <bold>
                        <italic toggle="yes">How do women&#x2019;s groups support community responses to shocks?</italic>
                    </bold> We found consistent evidence of women&#x2019;s groups playing a role in the community response to a shock. The literature revealed diverse examples of women&#x2019;s groups partnering with a broad range of stakeholders to support all stages of responses to various shocks. In particular, women&#x2019;s groups had the ability to organize and empower women to advocate for more inclusive resilience policies that are better aligned with women&#x2019;s priorities (
                    <xref ref-type="bibr" rid="ref-22">Clissold 
                        <italic toggle="yes">et al.,</italic> 2020</xref>), highlighting their potential role in transformative resilience through systemic change.</p>
                <p>Women&#x2019;s groups have supported multiple stages of community response to a shock: from preparation and disaster risk reduction to immediate response and relief efforts, to reconstruction and recovery, and finally by advocating for transformational change (see 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). This includes both pre-existing women&#x2019;s groups, which often serve as valuable human infrastructure in the face of a shock, as well as new women&#x2019;s groups that form to mobilize women to respond to a shock in their community. After large natural disasters in South Asia, women&#x2019;s groups actively participated to rebuild and rehabilitate their community &#x2013; by setting up relief camps (
                    <xref ref-type="bibr" rid="ref-62">Nambiar, 2016</xref>), taking charge of large community kitchens for the displaced (
                    <xref ref-type="bibr" rid="ref-69">Shaji, 2020</xref>), holding household cleaning drives after floods (
                    <xref ref-type="bibr" rid="ref-2">Anandan, 2018</xref>), providing psychological counselling to the bereaved (
                    <xref ref-type="bibr" rid="ref-2">Anandan, 2018</xref>), and contributing significant sums of money from their savings toward the rebuilding of their community infrastructure (
                    <xref ref-type="bibr" rid="ref-2">Anandan, 2018</xref>). We found that many types of local organizations that center women, inclusive of small lending groups as well as large, networked advocacy organizations, engage with a broad range of stakeholders in these community efforts, such as forming advocacy coalitions with women&#x2019;s rights organizations (
                    <xref ref-type="bibr" rid="ref-36">Fisher, 2009</xref>; 
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>), serving as government partners and implementers (
                    <xref ref-type="bibr" rid="ref-82">Yonder 
                        <italic toggle="yes">et al.,</italic> 2005</xref>), partnering with local and international NGOs (INGO) (
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>) and working with multilateral institutions such as the UN (
                    <xref ref-type="bibr" rid="ref-14">Brickman Raredon, 2011</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>The role of women&#x2019;s groups in the stages of community response to shocks.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/16097/0575e0a6-dfe6-4ed1-b7e6-9848cd9f8b3c_figure1.gif"/>
                </fig>
                <p>The literature cites several locally relevant communication, implementation, monitoring, and advocacy roles that women&#x2019;s groups can play in community responses to shocks. Women&#x2019;s group connections to their communities mean that they &#x201c;are talented in gathering local information that is difficult, if not impossible for outsiders to access&#x201d; (
                    <xref ref-type="bibr" rid="ref-82">Yonder 
                        <italic toggle="yes">et al.</italic>, 2005</xref>, p. 35). Involving women&#x2019;s groups in community responses can also increase the cultural relevance of programming, bolstering community trust and leading to an improved response (
                    <xref ref-type="bibr" rid="ref-17">Camara 
                        <italic toggle="yes">et al.,</italic> 2020</xref>). In their role as implementers of shock response programming, they can &#x201c;function as intermediaries between their communities and the government in a manner that improves the speed, quality, and accountability of the government programs&#x201d; (
                    <xref ref-type="bibr" rid="ref-82">Yonder 
                        <italic toggle="yes">et al.,</italic> 2005</xref>, p. 35). They can also support monitoring of a response to a shock &#x2013; including everything from tracking incidents of gender-based violence in shelters (
                    <xref ref-type="bibr" rid="ref-36">Fisher, 2009</xref>), to outbreak surveillance and reporting (
                    <xref ref-type="bibr" rid="ref-28">Deepa 
                        <italic toggle="yes">et al.,</italic> 2008</xref>), to ensuring resources are allocated appropriately to those most in need (
                    <xref ref-type="bibr" rid="ref-82">Yonder 
                        <italic toggle="yes">et al.,</italic> 2005</xref>). Finally, grassroots women&#x2019;s organizations appear to play an important advocacy role in ensuring government and INGO programming best supports women and their communities (
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>).</p>
                <p>However, women&#x2019;s advocacy organizations, grassroots cooperatives, and federations of savings and credit groups have reported a lack of meaningful involvement in national disaster responses. Across 21 interviews of women&#x2019;s advocacy organizations in Latin America, South Asia, and sub-Sharan Africa, Oxfam found that the majority felt &#x201c;sidelined&#x201d; from disaster response and recovery initiatives due to &#x201c;perceived lack of technical capacity and reach&#x201d;, as they &#x201c;had never been consulted by aid agencies on resilience and disaster preparedness strategies, and had no contact with government and nongovernmental actors in charge of disaster response and recovery initiatives&#x201d; (
                    <xref ref-type="bibr" rid="ref-67">Ravon, 2014</xref>, p. 17). Other sources corroborate this finding, as 
                    <xref ref-type="bibr" rid="ref-42">Goetz and Jenkins (2016)</xref> found multiple instances of the UN excluding women&#x2019;s groups in the conflict resolution and peacebuilding processes, and 
                    <xref ref-type="bibr" rid="ref-33">Enarson, Fothergill, and Peek (2007)</xref> found that women and women&#x2019;s grassroots organizations are often not in positions of authority during disaster relief and recovery. Gupta and Leung stated that &#x201c;successful partnerships between grassroots women&#x2019;s organizations and government agencies&#x2026; are exceptions rather than the norm&#x201d; in disaster risk reduction and recovery, and that typical programs such as aid and training too often &#x201c;reproduce rather than redress women&#x2019;s marginalization and vulnerabilities&#x201d; (2011, p. 25). </p>
                <p>As a result, these and other authors call for more meaningful partnerships with, and investments in, organizations that work with women, which include community-based small groups such as VLSAs, networks or federations of women&#x2019;s groups, and NGOs/INGOs that work with women&#x2019;s networks and women&#x2019;s rights/advocacy organizations. Experts cite the potential of such partnerships to reduce the perpetuation of gender inequity through building local capacity instead of relying upon external expertise (
                    <xref ref-type="bibr" rid="ref-44">Gupta &amp; Leung, 2011</xref>), and by supporting the ability of local women to be &#x201c;permanent active agents of resilient development&#x201d; (
                    <xref ref-type="bibr" rid="ref-37">Fordham 
                        <italic toggle="yes">et al.,</italic> 2011</xref>, p. 65). Thus, our findings suggest that there is room for greater inclusion of women&#x2019;s groups in community, government, and NGO response to shocks &#x2013; and that increased inclusion has the potential to support community resilience.</p>
                <p>
                    <bold>
                        <italic toggle="yes">Spotlight on women&#x2019;s groups and Ebola</italic>.</bold> The Ebola epidemic from 2014&#x2013;2015 had a catastrophic impact on VSLAs in Liberia, including absenteeism for VSLA meetings and activities, a decrease in contributions and resultant reduced funds available for loans, and&#x2013;ultimately&#x2013;the suspension of all VSLA activities (
                    <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>). Men who were able to borrow money in Liberia during the crisis mostly did so through informal sources, such as family and friends, while women primarily relied on credit offered by savings clubs and 
                    <italic toggle="yes">susu clubs</italic>, as other formal financial services were suspended (
                    <xref ref-type="bibr" rid="ref-54">Korkoyah &amp; Wreh, 2015</xref>). In Sierra Leone, the burden of the Ebola shock decreased group members&#x2019; ability and propensity to contribute savings &#x2013; which, in turn, put pressure on the group&#x2019;s social fund, despite it being needed for expenses related to burial and the care of orphaned and vulnerable children (
                    <xref ref-type="bibr" rid="ref-3">Androsik, 2020</xref>). However, while the Ebola epidemic highlighted the vulnerability of women&#x2019;s savings groups to shocks, it also showed their resilience &#x2013; as many VSLA group members in Liberia remained steadfast in their commitment to their group throughout the crisis (
                    <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>).</p>
                <p>Women&#x2019;s groups adapted their activities, services, and roles in response to Ebola outbreaks in various ways. In Liberia, the financial savings and loan activities of VSLAs were disrupted, but groups naturally evolved to serve as important sources of psychosocial support to members during this period of extreme loss and grief (
                    <xref ref-type="bibr" rid="ref-57">Langlay, 2014</xref>). In response to recurrent conflict and the Ebola crisis in the Democratic Republic of the Congo, VSLAs experimented with a &#x201c;resilient VSLA model&#x201d; to better cope with recurrent shocks that included shorter loan cycles, new emergency funds, and facilitating membership for displaced women (
                    <xref ref-type="bibr" rid="ref-19">CARE, 2020a</xref>). Women&#x2019;s groups also adapted to play a role in the community response to Ebola in the DRC, where the World Health Organization trained women&#x2019;s group representatives to spread awareness and share information in 30 Beni neighborhoods about vaccines, contact tracing, treatment, and the vulnerability of women and children to the disease (
                    <xref ref-type="bibr" rid="ref-79">WHO, 2018</xref>).</p>
                <p>We found one study that incorporated a causal identification strategy to measure member resilience attributable to group membership during the Ebola outbreak. The study focused on the effectiveness of the Empowerment and Livelihood for Adolescents (ELA) intervention using a cluster-randomized controlled trial in Sierra Leone (
                    <xref ref-type="bibr" rid="ref-6">Bandiera 
                        <italic toggle="yes">et al.,</italic> 2019</xref>). The Ebola outbreak occurred in the midst of the intervention and varied in severity across intervention locations. Thus, the authors were able to measure the mitigating impact of belonging to an ELA group during Ebola. The study found that group membership decreased the amount of time adolescent girls spent with men, decreased out-of-wedlock pregnancy by 7.5 percentage points, and increased school attendance by 8.5 percentage points. In a follow-up analysis, the positive effects persisted in higher human capital accumulation (increased school enrolment at higher levels of education) over time for group members (
                    <xref ref-type="bibr" rid="ref-7">Bandiera 
                        <italic toggle="yes">et al.,</italic> 2020</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>Several common themes emerged in our evidence synthesis of the relationship between women&#x2019;s groups and acute covariate shocks. First, covariate shocks tend to disrupt group activities &#x2013; either through reducing membership and meetings or by altering group functions to respond to the shock. Widespread shocks also tend to deplete group resources in a time of high need. However, linkages to formal institutions can mitigate the impact of shocks on group resources by extending access to credit beyond the shock-affected resource pool. Studies conducted in India with networked and institutionally linked SHGs were more likely to report positive resilience outcomes due to uninterrupted access to credit, while studies of more autonomous women&#x2019;s groups tended to describe resource shortages and reliance on savings. Groups may adapt their policies during a shock by introducing more flexibility around contributions and loan repayments; however, the resulting benefits to members may come at the cost of group sustainability. Indeed, there may be a tension between the prioritization of group resilience versus individual resilience that is underexplored in the literature. Groups may also employ technical adaptations to promote resilience during shocks, such as switching to digital technology when in-person meetings are disrupted, but we did not find sufficient evidence of these types of technical adaptations in our review.</p>
            <p>The evidence of women&#x2019;s groups providing resilience to members is limited in quantity and scope but rich in content. Published studies prioritize economic SHGs experiencing weather shocks, but a few articles examine the social support mechanisms of groups amidst the psychological toll of conflict shocks. Results vary according to shock severity, group purpose and structure, and outcome measures, but the evidence is largely supportive of the ability of women&#x2019;s groups to benefit members during covariate shocks. While evidence on specific mechanisms is limited, the literature suggests that accumulated savings, regular contributions, and flexible credit conditions may contribute to the ability of groups to mitigate the negative economic consequences of shocks for individuals, though with potentially differential consequences across members. However, the lack of subgroup analyses, such as differential impacts on members according to income or caste, is a prominent gap in the current literature.</p>
            <p>The literature cites numerous benefits of women&#x2019;s group involvement in the community response to a shock, but also suggests that women&#x2019;s groups and advocacy organizations often feel sidelined. Women&#x2019;s groups can provide valuable local expertise, human infrastructure, and community connections, with the potential to support governments and a variety of private actors in stronger, more sustainable responses to covariate shocks in contexts with wide coverage. Future research could expand upon this point and explore to what extent this engagement places a greater relative burden or risk on women 
                <italic toggle="yes">versus</italic> to what extent it promotes women&#x2019;s empowerment and contributes to shifting gender norms in communities.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>This review reveals that while women&#x2019;s groups may provide resilience to members and communities, covariate shocks tend to disrupt group activities and reduce group resources. The findings thus suggest a trade-off between individual or household and group resilience, indicating that groups may require additional financial support to remain sustainable during and in the aftermath of crises. This observation is consistent with the finding that access to formal institutions can mitigate the negative impacts of shocks on group resilience. We found this tension between individual and group resilience during the Ebola crisis in Sierra Leone, as limited contributions by group members put pressure on the group&#x2019;s social fund (
                <xref ref-type="bibr" rid="ref-3">Androsik, 2020</xref>). However, evidence from Liberia shows that group members continued contributing to their group throughout the Ebola crisis, suggesting that the tradeoff between group and individual resilience may not apply in all contexts. </p>
            <p>The findings of this evidence review on the ability of group membership to promote resilience are consistent with early findings related to the short-term effects of COVID-19 on women&#x2019;s groups and their members. Evidence from nationally representative longitudinal panel data based on in-person (before COVID-19) and phone-based (after COVID-19) surveys in Nigeria showed that households with a female member in a savings group experienced smaller increases in food insecurity than households without members (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>). A recent study from Uganda found that membership in savings groups was associated with a lower likelihood of suffering income shocks and a lower likelihood of a reduction in food consumption (
                <xref ref-type="bibr" rid="ref-95">Kansiime 
                    <italic toggle="yes">et al.,</italic> 2021</xref>). A study from India found mixed results, suggesting smaller decreases in consumption after COVID-19 for SHG members compared to non-members but no evidence for statistically significant associations with other economic outcomes (
                <xref ref-type="bibr" rid="ref-26">de Hoop 
                    <italic toggle="yes">et al.,</italic> 2021</xref>). In addition, most women&#x2019;s group farmers in Kerala, India, were able to get a fair return because they had access to enough intra-group labor to continue harvesting during COVID-19 (
                <xref ref-type="bibr" rid="ref-93">Agarwal, 2021</xref>). Findings from India further indicate that SHGs faced challenges due to COVID-19 lockdowns, particularly lower mobilization of monthly savings, which may create challenges for group sustainability (
                <xref ref-type="bibr" rid="ref-71">Siwach 
                    <italic toggle="yes">et al.</italic>, 2023</xref>). The study also showed that SHGs in geographies that received disbursements from the government experienced lower reductions in savings than SHGs in geographies without disbursement, which may have supported group resilience. VSLAs in multiple countries in sub-Saharan Africa also adapted their programming by introducing digital meetings, changing meeting frequency, and meeting with fewer members at a time after the gradual relaxation of the lockdown (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>). Like women&#x2019;s groups in Liberia during the 2014 Ebola outbreak, SHG members in India and savings group members across sub-Saharan Africa became involved in the community response to COVID-19 by partnering with government agencies to produce personal protective equipment (PPE), hand sanitizer, and masks and support vulnerable community members (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-43">Government of India, 2020</xref>).</p>
            <p>While evidence is emerging about the initial implications of COVID-19 for women&#x2019;s groups (
                <xref ref-type="bibr" rid="ref-1">Adegbite 
                    <italic toggle="yes">et al.,</italic> 2022</xref>; 
                <xref ref-type="bibr" rid="ref-60">Mulyampiti 
                    <italic toggle="yes">et al.,</italic> 2023</xref>), the long-term impacts of the pandemic on women&#x2019;s groups and their members remain unknown. Future research can address this evidence-gap through mixed-methods research, exploring the ways in which women&#x2019;s group membership may contribute to the long-term resilience of members and assessing the longer-term effects of covariate shocks on group sustainability (paying special attention to the role of external financial assistance to groups).</p>
            <p>In the short term, we nonetheless have several take-aways from the evidence synthesis that may inform policy:    </p>
            <list list-type="bullet">
                <list-item>
                    <p>
                        <bold>Sustainable access to financial and other resources, for both women&#x2019;s groups and their members, is a crucial resilience mechanism to support women&#x2019;s groups and their members during and in the aftermath of covariate shocks, such as COVID-19.</bold> Uninterrupted access to credit with flexible conditions is important for member resilience, and support for women&#x2019;s groups may include external contributions to group resources, such as cash transfers, to help members&#x2019; smooth consumption while normal income generating activities are suspended (
                        <xref ref-type="bibr" rid="ref-96">Tankha, 2020</xref>). For example, the Reserve Bank of India provided an option for one-time restructuring to borrowers in August 2020 in response to the pandemic. This option included SHG loans for which the account was classified as &#x2018;standard&#x2019; as of March 1, 2020, and where defaults were not over 30 days. However, reports suggest that by the deadline of 31 December 2020, banks had received restructuring requests for only 2% of the loan book (
                        <xref ref-type="bibr" rid="ref-26">de Hoop 
                            <italic toggle="yes">et al.,</italic> 2021</xref>). Policy seeking to bolster resilience will likely need to go beyond the provision of resources for basic needs and instead incorporate a multidimensional approach that includes psychosocial support, access to health information, and protections against the increased risks of gender-based and domestic violence (
                        <xref ref-type="bibr" rid="ref-96">Tankha, 2020</xref>).</p>
                </list-item>
                <list-item>
                    <p>
                        <bold>Meaningful partnerships with women&#x2019;s groups during a community response to a shock have great potential.</bold> Research suggests that including women&#x2019;s groups in a meaningful way can produce benefits for the community as a whole and, especially where groups exist on a wide scale, for women&#x2019;s overall resilience to shocks. Qualitative findings from Nigeria indicate that women&#x2019;s groups may have helped to provide support to members in acute need, connecting women with new income opportunities and contributing to reductions in gender-based violence (
                        <xref ref-type="bibr" rid="ref-97">Agene &amp; Onyishi, 2020</xref>; 
                        <xref ref-type="bibr" rid="ref-60">Mulyampiti 
                            <italic toggle="yes">et al.,</italic> 2023</xref>). However, evidence from India also shows that women producing masks in response to COVID-19 suffered due to delayed payments for goods procured on credit (
                        <xref ref-type="bibr" rid="ref-98">Kudumbashree State Mission, 2020</xref>), indicating that partnerships with women&#x2019;s groups during crisis must also ensure risk mitigation and protection for women &#x2013; such as ensuring timely payment (
                        <xref ref-type="bibr" rid="ref-20">CARE, 2020b</xref>). It also remains critical to ensure social distancing and access to PPE for women leaders and contributors in the response to COVID-19.       </p>
                </list-item>
                <list-item>
                    <p>
                        <bold>Policies and adaptations of interventions can have heightened potential for unintended adverse consequences during shocks.</bold> Policymakers concerned with equity will need to consider&#x2014;and monitor&#x2014;the possibility that the benefits of women&#x2019;s groups may not be distributed equally among members, and that the most vulnerable may be excluded from or harmed from groups during shocks. For example, the use of digital meetings has created barriers to participation for some of the most marginalized women (
                        <xref ref-type="bibr" rid="ref-1">Adegbite 
                            <italic toggle="yes">et al.,</italic> 2022</xref>). Care will also be necessary to ensure that interventions targeted toward women&#x2019;s groups during shocks are carried out in an empowering way rather than increasing existing gendered burdens or perpetuating gender inequities.</p>
                </list-item>
            </list>
            <p>The included studies provide a broad and comprehensive overview of the relationships between women&#x2019;s groups and covariate shocks. However, as this review was rapid and not fully systematic, we want to acknowledge several limitations. Though we conducted extensive searches of various platforms, it is likely that we missed some of the evidence. Additionally, the research design and methodological rigor of the reviewed studies varied widely, and we did not conduct a risk of bias assessment on the included studies (
                <xref ref-type="bibr" rid="ref-99">Hombrados &amp; Waddington, 2012</xref>). Due to our broad scope, findings for one women&#x2019;s group may have limited generalizability to other women&#x2019;s groups across contexts or population groups (
                <italic toggle="yes">e.g.,</italic> adolescents and adult women), and comparisons and effect aggregation across studies are challenging due to diverse outcome measurement, shock severity, and group type. In addition, detailed information about each women&#x2019;s group (including gender composition) was often inconsistently specified. Finally, we were not able to include analyses on COVID-19 and women&#x2019;s groups during the most recent COVID-19 humanitarian crises in India and Uganda because of the limited availability of evidence during our search timeframe.</p>
            <p>Despite these limitations, reviewing the recent historical record on women&#x2019;s groups and shocks was important to synthesize lessons learned and enable the generation of a broad evidence base on this topic. The review provides meaningful evidence for policymakers and practitioners engaged with women&#x2019;s groups who aim to strengthen their long-term resilience after COVID-19. It also points to the ongoing importance of studying and documenting the relationship between women&#x2019;s groups and serious but possibly more localized shocks that do not garner the research attention of COVID-19. When and where these shocks will take place is unpredictable, making rigorous study designs difficult; however, covariate shocks will continue to occur and will most likely disproportionately affect women in some of the world&#x2019;s most vulnerable populations. A better understanding of women&#x2019;s groups in the context of shocks may support pre-emptive policy and group action and hasten post-shock responses. Further research can also expand our understanding of how, and under what conditions, joining a group can support individual resilience and contribute to community responses.</p>
        </sec>
    </body>
    <back>
        <sec sec-type="data-availability">
            <title>Data availability</title>
            <p>No data are associated with this article.</p>
        </sec>
        <sec>
            <title>Author contributions</title>
            <p>Walcott &#x2013; Data Curation; Formal Analysis; Investigation; Methodology; Project Administration; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>Schmidt &#x2013; Data Curation; Formal Analysis; Investigation; Methodology; Visualization; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>Kaminsky &#x2013; Data Curation; Formal Analysis; Investigation; Methodology; Visualization; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>Singh &#x2013; Data Curation; Formal Analysis; Investigation; Methodology; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>Anderson &#x2013; Conceptualization; Investigation; Methodology; Supervision; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>Desai &#x2013; Conceptualization; Funding Acquisition; Investigation; Methodology; Supervision; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
            <p>de Hoop &#x2013; Conceptualization; Funding Acquisition; Investigation; Methodology; Supervision; Writing &#x2013; Original Draft Preparation; Writing &#x2013; Reviewing &amp; Editing</p>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors would like to thank the Bill &amp; Melinda Gates Foundation for supporting this study. We would especially like to thank Shubha Jayaram at the Gates Foundation, and David Seidenfeld from the American Institutes for Research for their valuable comments and feedback on this paper.</p>
        </ack>
        <fn-group>
            <fn id="FN1">
                <p>
                    <sup>1</sup> Covariate shocks are shocks that occur at the community or macro-level (e.g., natural disasters, disease outbreaks, conflict, and economic crises) and may affect many households simultaneously.</p>
            </fn>
            <fn id="FN2">
                <p>
                    <sup>2</sup> The categories are mutually exclusive, but we did allow for multiple categories under organizing purpose. In case of doubt, we selected the category that was most closely aligned with the paper. However, the sources included in our search did not always fall neatly into categories, therefore there may have been some inconsistency in coding across the categories described.</p>
            </fn>
        </fn-group>
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        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.16097.r34361</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
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            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mondal</surname>
                        <given-names>Manishree</given-names>
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                    <uri content-type="orcid">https://orcid.org/0000-0002-4996-5159</uri>
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                <aff id="r34361a1">
                    <label>1</label>Department of Geography (UG &amp; PG), Midnapore College, Midnapore, West Bengal, India</aff>
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            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>21</day>
                <month>8</month>
                <year>2023</year>
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            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Mondal M</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport34361" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.14771.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This article is an excellent qualitative meta-analysis regarding the activities of women&#x2019;s groups in lower and lower middle countries of the world towards the survival and resilience of their members, community and society in the time of acute crisis of various covariate shocks prior to COVID-19. Both physical and socio-cultural shocks were discussed with proper illustrations.</p>
            <p> </p>
            <p> The major observations: 
                <list list-type="order">
                    <list-item>
                        <p>The abstract is well framed. Three basic questions are methodically analyzed with proper examples and elaborated descriptions. Empirical studies of twenty (20) quality documents are presented systematically and categorically in tabular format. Policy recommendations and sustainable pathways for the mitigation of problems faced by the women&#x2019;s groups in the time of crisis as well as resilience or survival are brilliantly presented in the conclusion section. Limitations of this study are also mentioned clearly.</p>
                    </list-item>
                    <list-item>
                        <p>Objectives of the study are stated but not in a clear category. It may be troublesome for readers to find out easily.</p>
                    </list-item>
                    <list-item>
                        <p>Among the discussed 90 covariate shocks about 43 are related to climatic phenomena followed by 14 health related issues, 12 socio-cultural, 6 economic shocks and 15 tectonic disasters. Every shock has different devastating nature with differential impacts on society. It might be better to discuss these various types of shocks categorically.</p>
                    </list-item>
                    <list-item>
                        <p>Thrust has been given on only women&#x2019;s group activities and resilience rather than the individual members but it was evident that every member of every unique group has different needs for their resilience and survival.</p>
                    </list-item>
                    <list-item>
                        <p>About 90 documents were extracted from 2800 search results. This is really a huge amount of literature review. It will be better if there was a table for searched literatures according to their quality of publications.</p>
                    </list-item>
                    <list-item>
                        <p>Qualitative analysis of the searched result is truly commendable but there is no quantitative or sensitivity analysis on the basis of their research quality. This qualitative analysis only presents the description of the scenario. The valid, objective based scientific analytical tools and techniques can produce high level of validate and reliable results. Randomized Controlled Trials (RCT&#x2019;s) is one of them. Graphical presentation is more accountable rather than wordy explanations.</p>
                    </list-item>
                    <list-item>
                        <p>Publication bias is not mentioned in the method section. Due to the higher likeliness of publications of qualitatively both significant and non-significant studies, this biasness can distort the result.</p>
                    </list-item>
                    <list-item>
                        <p>The main aim of this article was the search of past experience of various women&#x2019;s group against the different covariate shocks. The impact analysis of COVID-19 in the conclusion section may be little bit of puzzling to the readers. Actually COVID-19 is extremely an exceptional phenomenon with various facets which shattered the whole world. Even more literature analysis is necessary to draw any generalization on the impact of this incident on women&#x2019;s group or their members.</p>
                    </list-item>
                    <list-item>
                        <p>Lastly, if two major facts finding tables are showed as supplementary files in appendices then the consistency of the whole analysis will be maintained more clearly.</p>
                    </list-item>
                </list> This is a very contemporary and necessary topic of discussion. Women&#x2019;s groups along with their members are really the most vulnerable in any kind of shock whether it is covariate or not. This type of analysis can able to show the right choice for resilience and survival against any type of risk and vulnerability.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Women's studies, social, cultural, environmental science, indigenous people.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report34359">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.16097.r34359</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Demont</surname>
                        <given-names>Timoth&#x00e9;e</given-names>
                    </name>
                    <xref ref-type="aff" rid="r34359a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3801-1755</uri>
                </contrib>
                <aff id="r34359a1">
                    <label>1</label>CNRS, AMSE, Aix-Marseille University, Marseille, France</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>8</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Demont T</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport34359" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.14771.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article is a literature review, which brings no new results. This report is therefore purposely limited and focuses on the format. It gives advice to enhance the usefulness and the knowledge provided by this literature synthesis. I do think that the article represents a useful synthesis of the literature, in that it is very thorough and it tries to deliver a policy message at the end.</p>
            <p> </p>
            <p> My main comments are given below. 
                <list list-type="order">
                    <list-item>
                        <p>The overall readability could be improved. First, I would advise to focus on a limited number of clear and ordered results (focusing on strong evidence), clearly articulated in a logical framework (such as a theory of change distinguishing needs, mechanisms, intermediate and final outcomes). Details, as well as anecdotal and more fragile evidence could be relegated to a final section or an appendix. Second, the synthesis is very wordy and I would encourage the authors to use more graphical representations to show more visibly the nature, magnitude and dispersion of the main effects estimated by the literature.</p>
                    </list-item>
                    <list-item>
                        <p>Limit reference to gray literature and make a distinction between papers published in good peer-reviewed journals and papers unpublished or published in low-rank journals or that are purely qualitative and not representative of the population of interest. One possibility is to specify different confidence levels for each (family of) result, in the spirit of what IPCC does on climate. The readers need to be able to navigate easily through the massive number of studies, first focusing on strong evidence and then subsequently going through more tentative evidence if they are interested. It would also improve the readability of the literature synthesis.</p>
                    </list-item>
                    <list-item>
                        <p>I would also encourage the authors to use some more advanced meta-analysis tools, at least for part of the synthesis, e.g. discuss which percentage of the studies found positive, null, or negative effects, what is the average magnitude and its dispersion (variance). Of course, it would then become important to focus only on well-identified quantitative studies, and to recover average treatment effects from the different studies (taking into account that some report ATT, ITT, etc.). Again, the idea is to increase the actual knowledge generated by this literature synthesis.</p>
                    </list-item>
                    <list-item>
                        <p>Clarify if you consider having incorporated the universe of studies meeting your criteria or only a sample. In the latter case, specify the selection criteria.</p>
                    </list-item>
                    <list-item>
                        <p>Why didn&#x2019;t you search the IDEAS (
                            <ext-link ext-link-type="uri" xlink:href="https://ideas.repec.org/">https://ideas.repec.org/</ext-link>) database, which seems to be (one of) the first source(s) of papers in Economics?</p>
                    </list-item>
                    <list-item>
                        <p>Different versions of the same paper are sometimes quoted as if they were different papers. Prioritize the latest, ideally published, version.</p>
                    </list-item>
                    <list-item>
                        <p>The focus on trying to derive conclusions for the COVID-19 crisis is a bit odd. Given that it is a past event, it seems to me that there are two options. Either the authors focus on studies whose object was actually the response to COVID-19. Or the authors should rather present the main object of their study as being covariate shocks in general, of which pandemics are one example. And the objective should be to derive predictions regarding future covariate shocks, instead of a past event. Discussing the possibility to cope with covariate shocks is particularly important and interesting in the context of climate change (which is arguably a more crucial and pressing topic than pandemics). An additional issue is that shocks like COVID-19 implied a complete blockage of the society and the economy for some time, which is not true for most other covariate shocks such as weather shocks. Which complicates further this exercise of studying the literature on covariate shocks to derive conclusions for COVID-19. I would encourage the authors to change focus, with COVID-19 being one focus as they do for Ebola.</p>
                    </list-item>
                    <list-item>
                        <p>The difference between adaptive capacity and transformative capacity is not clear, both conceptually and empirically.</p>
                    </list-item>
                    <list-item>
                        <p>I would distinguish between (and compare) the very different types of women&#x2019;s groups (in particular those with a focus on savings and credit, those with active NGO involvement, those involving specific profiles such as young girls or victims of violence). Trying to pool all models together actually decreases the informativeness of the report.</p>
                    </list-item>
                    <list-item>
                        <p>Effect on groups: distinguish short-term and long-term effects (some adaptation strategies, e.g. increased flexibility, can be good in the short term but detrimental to long-term group survival).</p>
                    </list-item>
                    <list-item>
                        <p>Discuss more the individual heterogeneity of the effects: we know it is strong, and it is very important to understand who is more and less vulnerable in a population after a covariate shock.</p>
                    </list-item>
                    <list-item>
                        <p>Can you say something about the externalities that women&#x2019;s groups generate on local communities / GE effects?</p>
                    </list-item>
                    <list-item>
                        <p>I feel the discussion and conclusion are a bit disconnected with the literature review, focusing on points which are not the main ones. One (useful) thing is to explain what in your opinion is missing and/or what can or cannot be generalized etc. But when it comes to summarizing the findings from the literature, the authors should be very clear and fair with what the literature actually establishes (and what it does not), and, once again, try to make sense of it and extract a general knowledge (see comments 1, 2, 3).</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Development economics</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report34360">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.16097.r34360</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Nurbayani</surname>
                        <given-names>Siti</given-names>
                    </name>
                    <xref ref-type="aff" rid="r34360a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Dede</surname>
                        <given-names>Moh.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r34360a2">2</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r34360a1">
                    <label>1</label>Faculty of Social Sciences Education (FPIPS), Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia</aff>
                <aff id="r34360a2">
                    <label>2</label>Universitas Padjadjaran, Bandung, West Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>8</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Nurbayani S and Dede M</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport34360" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.14771.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Thank you for this opportunity, your article is great. This review article summarizes new insiders about women and the global COVID-19 pandemic. Even so, there are several things that the authors must look at again hence your article is more interesting and makes it easier for readers to understand the content. Please look into the details.</p>
            <p> </p>
            <p> Kind regards,</p>
            <p> </p>
            <p> Siti Nurbayani &amp; Moh. Dede</p>
            <p> </p>
            <p> Abstract: 
                <list list-type="bullet">
                    <list-item>
                        <p>Research objectives have not been clearly presented.</p>
                    </list-item>
                    <list-item>
                        <p>In terms of method, it has not been stated how to get published articles which are the basis for writing, especially how to find them.</p>
                    </list-item>
                    <list-item>
                        <p>Conclusion it seems that there is no narrowing of the main findings.</p>
                    </list-item>
                </list> Introduction: 
                <list list-type="bullet">
                    <list-item>
                        <p>Too long section, could have been made more concise.</p>
                    </list-item>
                    <list-item>
                        <p>Why is the sub-section &#x201c;Women's groups and resilience&#x201d; in this section? This should be put together with other paragraphs and make it coherent.</p>
                    </list-item>
                    <list-item>
                        <p>Research objectives have not been clearly revealed.</p>
                    </list-item>
                </list> Methods: 
                <list list-type="bullet">
                    <list-item>
                        <p>Does this research use the SLR framework? If yes, please explain properly.</p>
                    </list-item>
                    <list-item>
                        <p>Explain the procedure for this sentence &#x201c;Our evidence synthesis is derived from academic databases, organizational reports, and additional gray literature. Using a targeted search strategy, we extracted 90 total documents from over 2,800 search results. It would be better if you included an illustration for this process.</p>
                    </list-item>
                    <list-item>
                        <p>Why is the research question in this section? It should be sufficient to express it in a sentence, not a question, but a statement about the variables/parameters that you want to reveal.</p>
                    </list-item>
                </list> Findings: 
                <list list-type="bullet">
                    <list-item>
                        <p>Outstanding</p>
                    </list-item>
                </list> Discussion: 
                <list list-type="bullet">
                    <list-item>
                        <p>The author can make a kind of illustration as the synthesis in this section.</p>
                    </list-item>
                    <list-item>
                        <p>Discussions and conclusions seem to overlap, this is quite confusing.</p>
                    </list-item>
                </list> Conclusions: 
                <list list-type="bullet">
                    <list-item>
                        <p>Some parts of this section should be in the discussion.</p>
                    </list-item>
                    <list-item>
                        <p>This section should be made more concise.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Social studies, sexual harassment, family and gender, local wisdom, sociology education, and development</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
