<?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.12908.1</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>Potential relationship between malaria elimination and reducing stunting in children in sub-Saharan Africa</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations, 2 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Willis</surname>
                        <given-names>Derek W.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5355-8492</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hamon</surname>
                        <given-names>Nick</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Center for Research on Environmental Decisions, Columbia University, New York, NY, 10027, USA</aff>
                <aff id="a2">
                    <label>2</label>IVCC, Liverpool, L3 5QA, UK</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:derekwwillis@gmail.com">derekwwillis@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>5</day>
                <month>2</month>
                <year>2019</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2019</year>
            </pub-date>
            <volume>3</volume>
            <elocation-id>12</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>14</day>
                    <month>1</month>
                    <year>2019</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Willis DW and Hamon N</copyright-statement>
                <copyright-year>2019</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/3-12/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> The Sustainable Development Goals include goals to reduce malaria and stunting. Stunting is a result of childhood undernutrition. Our previous studies found that suppressing malaria could reduce poverty rates among agricultural households in Africa. The objective of this paper is to highlight how suppressing malaria could have the further effect of reducing stunting rates among children in agricultural households.</p>
                <p>
                    <bold>Methods:</bold> We estimated the burden of stunting among children in agricultural households in malarious regions of sub-Saharan Africa on the basis of our previous research and data from UNICEF. We also used an evaluation of the impact of a nutrition program in Peru to assess the potential for poverty reduction to reduce stunting.</p>
                <p>
                    <bold>Results:</bold> We estimated that there are approximately 21.5 million children suffering from stunting in agricultural households in malarious regions of sub-Saharan Africa. Poverty reduction was found to be a necessary condition to reduce stunting via a multisectoral nutrition program in Peru. The potential impact of suppressing malaria on the poverty rate of agricultural households could therefore play an important role in nutrition programs aiming to reduce stunting in Africa. Reducing the number of children with stunting in these households would improve their health and productivity as adults.</p>
                <p>
                    <bold>Conclusion:</bold> We have developed the first estimates of the burden of stunting in agricultural households in malarious regions of sub-Saharan Africa. Understanding how suppressing malaria affects stunting in these households could affect funding for anti-malaria programs. Future research should use longitudinal data to examine this impact at a finer spatial scale.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>malaria</kwd>
                <kwd>agricultural households</kwd>
                <kwd>Africa</kwd>
                <kwd>stunting</kwd>
                <kwd>Sustainable Development Goals</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>OPP1148615</award-id>
                </award-group>
                <funding-statement>This work was supported by the Gates Foundation (OPP1148615).</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>The Sustainable Development Goals (SDGs) include goals for suppressing malaria and improving nutrition. The relationship between malaria and malnutrition has been extensively studied. A large number of studies have examined how malaria affects the susceptibility of individuals to malnutrition (
                <xref ref-type="bibr" rid="ref-7">Bradley-Moore 
                    <italic toggle="yes">et al.</italic>, 1985</xref>; 
                <xref ref-type="bibr" rid="ref-21">Man 
                    <italic toggle="yes">et al.</italic>, 1998</xref>; 
                <xref ref-type="bibr" rid="ref-24">Mcgregor 
                    <italic toggle="yes">et al.</italic>, 1956</xref>; 
                <xref ref-type="bibr" rid="ref-28">Rowland 
                    <italic toggle="yes">et al.</italic>, 1977</xref>). Malnutrition&#x2019;s impact on the susceptibility of individuals to malaria has also been studied (
                <xref ref-type="bibr" rid="ref-2">Bates 
                    <italic toggle="yes">et al.</italic>, 1993</xref>; 
                <xref ref-type="bibr" rid="ref-30">el Samani 
                    <italic toggle="yes">et al.</italic>, 1987</xref>; 
                <xref ref-type="bibr" rid="ref-33">Shankar, 2000</xref>), as has the impact of improving nutrition on the productivity of agricultural households (
                <xref ref-type="bibr" rid="ref-1">Basta 
                    <italic toggle="yes">et al</italic>., 1979</xref>; 
                <xref ref-type="bibr" rid="ref-3">Behrman 
                    <italic toggle="yes">et al.</italic>, 1997</xref>; 
                <xref ref-type="bibr" rid="ref-8">Brooks 
                    <italic toggle="yes">et al.</italic>, 1979</xref>; 
                <xref ref-type="bibr" rid="ref-15">Gilgen 
                    <italic toggle="yes">et al.</italic>, 2001</xref>; 
                <xref ref-type="bibr" rid="ref-26">Pitt &amp; Rosenzweig, 1986</xref>; 
                <xref ref-type="bibr" rid="ref-27">Popkin, 1978</xref>; 
                <xref ref-type="bibr" rid="ref-31">Scholz 
                    <italic toggle="yes">et al</italic>., 1997</xref>; 
                <xref ref-type="bibr" rid="ref-36">Strauss, 1986</xref>). However, no studies have examined how suppressing malaria could reduce the impact of malnutrition on households.</p>
            <p>Developing more accurate estimates of how suppressing malaria would affect the welfare of malarious communities could inform decisions regarding funding for malaria elimination programs (
                <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>). A lack of funding has been identified as the primary cause of failures to achieve or maintain elimination during the first Global Malaria Eradication Campaign (1955&#x2013;1969) (
                <xref ref-type="bibr" rid="ref-9">Cohen 
                    <italic toggle="yes">et al.</italic>, 2012</xref>).</p>
            <p>Malnutrition is a disease category that includes both undernutrition and overnutrition (
                <xref ref-type="bibr" rid="ref-39">WHO, 2017</xref>). While overnutrition can lead to obesity, undernutrition is caused by deficiencies in micronutrients. The term malnutrition is often used as an alternative to undernutrition. Childhood stunting is the product of disease and undernutrition. Stunting in a child is defined as the child&#x2019;s height-for-age Z score (HAZ) being less than two standard deviations below the median score of a healthy reference population.</p>
            <p>In sub-Saharan Africa, 30% of the 155 million children under the age of five experienced stunting in 2016 (
                <xref ref-type="bibr" rid="ref-34">Skoufias, 2018</xref>) and approximately 25% of the population experiences chronic undernourishment (
                <xref ref-type="bibr" rid="ref-11">Ehui, 2018</xref>). These figures are causally linked as chronic malnutrition is one of the prime factors leading to stunting (
                <xref ref-type="bibr" rid="ref-17">Gray 
                    <italic toggle="yes">et al</italic>., 2006</xref>; 
                <xref ref-type="bibr" rid="ref-32">Schwinger 
                    <italic toggle="yes">et al.</italic>, 2017</xref>). The rate of stunting among the under-five population in Africa was the highest in the world in 2016.</p>
            <p>The number of children with stunted growth under the age of five is increasing in sub-Saharan Africa (
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al</italic>., 2018</xref>), a trend not observed in any other region of the world. From 1990 to 2014, the number of stunted children under five increased by 23%, from 47 million to 58 million (
                <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>). In contrast, the number of children with stunting decreased by 52% in Asia, 55% in Latin America (including the Caribbean) and 38% globally (
                <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>).</p>
            <p>One reason for this increase is the rapid rise in the child population of sub-Saharan Africa. From 2015 until the end of the century, sub-Saharan Africa will have a higher number of births than any other part of the world (
                <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>). Another reason, however, is that Africa has made slower progress towards reducing the percentage of children with stunting than other regions of the world (
                <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>). From 1990 to 2014, the percentage of stunted children under five in Africa decreased by only 24%, while the percentage in Asia declined by 47%, in Latin America (including the Caribbean) by 52% and globally by 40% (
                <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>).</p>
            <p>Interventions to reduce childhood stunting include nutrition-specific or nutrition-sensitive interventions. Nutrition-specific interventions include providing micronutrients and vitamins to mothers and promoting breastfeeding. Although the efficacy of these interventions is high, developing countries have found it challenging to scale-up these approaches in resource-constrained settings (
                <xref ref-type="bibr" rid="ref-13">Galasso 
                    <italic toggle="yes">et al.</italic>, 2016</xref>). These nutrition-sensitive interventions target the determinants of malnutrition rather than providing improved nutrition options directly to mothers. Nutrition-sensitive interventions include interventions that increase the productivity of agricultural households (
                <xref ref-type="bibr" rid="ref-4">Berti 
                    <italic toggle="yes">et al.</italic>, 2004</xref>; 
                <xref ref-type="bibr" rid="ref-10">De Brauw 
                    <italic toggle="yes">et al.</italic>, 2015</xref>; 
                <xref ref-type="bibr" rid="ref-16">Girard 
                    <italic toggle="yes">et al.</italic>, 2012</xref>; 
                <xref ref-type="bibr" rid="ref-23">Masset 
                    <italic toggle="yes">et al</italic>., 2012</xref>; 
                <xref ref-type="bibr" rid="ref-29">Ruel 
                    <italic toggle="yes">et al</italic>., 2013</xref>). Suppressing malaria could have a similar impact on stunting given that recent studies indicate that malaria suppression could increase productivity and reduce poverty in agricultural households (
                <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>; 
                <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>). The objective of this study is to highlight how suppressing malaria could affect stunting rates among children in agricultural households in sub-Saharan Africa.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>
                <xref ref-type="fig" rid="f1">Figure 1</xref> was developed in a recent study (
                <xref ref-type="bibr" rid="ref-43">Willis &amp; Hamon, 2019</xref>) as a conceptual framework to illustrate how eradicating malaria could create a virtuous cycle that improves the welfare of agricultural households. In previous studies, we examined the links from &#x201c;Malaria decreases&#x201d; to &#x201c;Household income increases&#x201d; (
                <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>; 
                <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>). In the current study we examine the evidence for the links in 
                <xref ref-type="fig" rid="f1">Figure 1</xref> from &#x201c;Household income increases&#x201d; (due to suppressing malaria) to &#x201c;Nutrition security improves.&#x201d;</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Conceptual framework for the long-term impact of malaria on the income of an agricultural household.</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14004/8ce2fd40-6b84-4a63-848c-ce9981abd293_figure1.gif"/>
            </fig>
            <sec>
                <title>Estimation of stunting</title>
                <p>First, we estimated the burden of stunting in agricultural households in malarious areas of sub-Saharan Africa, using the commonly used metric of the number of children under the age of five in such households with stunting. By combining recent estimates of the total relevant population (
                    <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>; 
                    <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>) and demographic data (taken from 
                    <ext-link ext-link-type="uri" xlink:href="https://www.populationpyramid.net/united-republic-of-tanzania/2017/">Population Pyramid</ext-link>), we estimated the number of children under five in agricultural households in each of 35 sub-Saharan countries. We then used published estimates of the prevalence of stunting in the under-five population in each of these countries (
                    <xref ref-type="bibr" rid="ref-37">UNICEF, 2018</xref>) to estimate the number of those children with stunting.</p>
            </sec>
            <sec>
                <title>Assessing the link between reduction in poverty and reduction in stunting</title>
                <p>Second, we explored the link between poverty reduction and a reduction in stunting on the basis of recent work in Peru (
                    <xref ref-type="bibr" rid="ref-20">Levinson 
                        <italic toggle="yes">et al</italic>., 2013</xref>; 
                    <xref ref-type="bibr" rid="ref-35">Skoufias 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). Data from the World Bank were used to examine the change in poverty rates from 2004 to 2011, while Demographic and Health Survey data for stunting rates were used to analyze the change in this indicator from 2007 to 2012 (
                    <xref ref-type="bibr" rid="ref-44">World Bank, 2012</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>The relevant Sustainable Development Goals (SDGs) for malaria and malnutrition are summarized in 
                <xref ref-type="table" rid="T1">Table 1</xref>. The goal for stunting is to achieve a 40% reduction in stunting rates among children under five by 2025 using 2010 as a baseline (
                <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>).</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Sustainable Development Goals for Malaria and Nutrition: impact of suppressing malaria among agricultural households in Africa on Sustainable Development Goals for Malaria and Nutrition.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="center" colspan="1" rowspan="1">Goal</th>
                            <th align="center" colspan="1" rowspan="1">Target for 2030</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="center" colspan="1" rowspan="3" valign="top">Good Health
                                <break/>and Well-Being</td>
                            <td align="center" colspan="1" rowspan="1">Reduce the global maternal mortality ratio to less than 70 per 100,000 live births</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1">End preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce
                                <break/>neonatal mortality to at least 12 per 1,000 live births and under-5 mortality to at least 25 per 1,000 live births</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1">End the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-
                                <break/>borne diseases, and other communicable diseases</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="3" valign="middle">Zero Hunger</td>
                            <td align="center" colspan="1" rowspan="1">End hunger and ensure access for all to safe, nutritious and sufficient food all year round, particularly the poor
                                <break/>and vulnerable, including infants </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1">End all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and
                                <break/>wasting in children under 5 years of age, and address the nutritional needs of adolescent girls, pregnant and
                                <break/>lactating women, and older persons</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1">Double the agricultural productivity and incomes of small-scale food producers, particularly women, indigenous
                                <break/>peoples, family farmers, pastoralists and fishers, including through secure and equal access to land, other
                                <break/>productive resources and inputs, knowledge, financial services, markets and opportunities for value addition and
                                <break/>non-farm employment</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Based on the current global progress toward reducing stunting, this goal will not be achieved (
                <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>). The number of stunted children under five globally is decreasing at a rate of 1.5% annually, which will lead to only a 20% reduction in stunting from 2010 to 2025 (
                <xref ref-type="bibr" rid="ref-13">Galasso 
                    <italic toggle="yes">et al.</italic>, 2016</xref>). In order to reach the goal of a 40% reduction by 2025, the annual reduction in stunting will need to increase from 1.5 to 3.4% (
                <xref ref-type="bibr" rid="ref-13">Galasso 
                    <italic toggle="yes">et al.</italic>, 2016</xref>).</p>
            <sec>
                <title>Estimation of the burden of stunting among agricultural households in sub-Saharan Africa</title>
                <p>In a recently published study, we estimated that there are approximately 54 million agricultural households in the malarious regions of 35 countries in sub-Saharan Africa (
                    <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>). We defined an agricultural household as a household with a farming area of fewer than 10 hectares. Assuming that six individuals live in each household, we estimated that approximately 324 million individuals live in agricultural households in these regions.</p>
                <p>The proportion of the total population of each country under the age of five ranged from 11.6 to 20% (
                    <ext-link ext-link-type="uri" xlink:href="https://www.populationpyramid.net/united-republic-of-tanzania/2017/">Population Pyramid</ext-link>). Using these demographic data, we estimate that there are approximately 52.7 million individuals in the under-five population in agricultural households in malarious regions of sub-Saharan Africa.</p>
                <p>The stunting rate in these 35 countries ranged from 20.2 to 58.8% (
                    <xref ref-type="bibr" rid="ref-37">UNICEF, 2018</xref>). By linking the stunting rate estimates for each country with the under-five population estimates for each country, we estimate that approximately 21.5 million children suffered from stunting in agricultural households in malarious regions of sub-Saharan Africa in 2018. The number of children under five with stunting among agricultural households in each country is given in 
                    <xref ref-type="table" rid="T2">Table 2</xref>.</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Country data for number, population, median daily income and poverty levels of agricultural households in malarious countries of sub-Saharan Africa.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Country</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Number of
                                    <break/>agricultural
                                    <break/>households
                                    <break/>(less than
                                    <break/>10 hectares)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Population of
                                    <break/>agricultural
                                    <break/>households
                                    <break/>(less than
                                    <break/>10 hectares)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Median per
                                    <break/>capita daily
                                    <break/>income for
                                    <break/>individuals in
                                    <break/>agricultural
                                    <break/>households
                                    <break/>(2011 PPP)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Population in
                                    <break/>agricultural
                                    <break/>households in
                                    <break/>poverty (daily
                                    <break/>income less
                                    <break/>than $1.90) in
                                    <break/>2018</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Under-5
                                    <break/>population in
                                    <break/>agricultural
                                    <break/>households</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Stunting
                                    <break/>Rate</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Number of
                                    <break/>children with
                                    <break/>stunting
                                    <break/>in under-5
                                    <break/>population in
                                    <break/>agricultural
                                    <break/>households</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Angola</td>
                                <td align="center" colspan="1" rowspan="1">791,492</td>
                                <td align="center" colspan="1" rowspan="1">4,748,952</td>
                                <td align="center" colspan="1" rowspan="1">$2.90</td>
                                <td align="center" colspan="1" rowspan="1">1,329,706</td>
                                <td align="center" colspan="1" rowspan="1">878,556</td>
                                <td align="center" colspan="1" rowspan="1">45.7%</td>
                                <td align="center" colspan="1" rowspan="1">401,500</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Benin</td>
                                <td align="center" colspan="1" rowspan="1">302,601</td>
                                <td align="center" colspan="1" rowspan="1">1,815,604</td>
                                <td align="center" colspan="1" rowspan="1">$1.95</td>
                                <td align="center" colspan="1" rowspan="1">871,490</td>
                                <td align="center" colspan="1" rowspan="1">279,603</td>
                                <td align="center" colspan="1" rowspan="1">38.2%</td>
                                <td align="center" colspan="1" rowspan="1">106,808</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Botswana</td>
                                <td align="center" colspan="1" rowspan="1">89,231</td>
                                <td align="center" colspan="1" rowspan="1">535,386</td>
                                <td align="center" colspan="1" rowspan="1">$4.54</td>
                                <td align="center" colspan="1" rowspan="1">74,954</td>
                                <td align="center" colspan="1" rowspan="1">62,105</td>
                                <td align="center" colspan="1" rowspan="1">31.4%</td>
                                <td align="center" colspan="1" rowspan="1">19,501</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Burkina Faso</td>
                                <td align="center" colspan="1" rowspan="1">657,559</td>
                                <td align="center" colspan="1" rowspan="1">3,945,355</td>
                                <td align="center" colspan="1" rowspan="1">$2.09</td>
                                <td align="center" colspan="1" rowspan="1">1,735,956</td>
                                <td align="center" colspan="1" rowspan="1">670,710</td>
                                <td align="center" colspan="1" rowspan="1">27.3%</td>
                                <td align="center" colspan="1" rowspan="1">183,104</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Burundi</td>
                                <td align="center" colspan="1" rowspan="1">1,156,946</td>
                                <td align="center" colspan="1" rowspan="1">6,941,676</td>
                                <td align="center" colspan="1" rowspan="1">$1.35</td>
                                <td align="center" colspan="1" rowspan="1">5,206,257</td>
                                <td align="center" colspan="1" rowspan="1">1,270,327</td>
                                <td align="center" colspan="1" rowspan="1">58.8%</td>
                                <td align="center" colspan="1" rowspan="1">746,952</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Cameroon</td>
                                <td align="center" colspan="1" rowspan="1">686,673</td>
                                <td align="center" colspan="1" rowspan="1">4,120,040</td>
                                <td align="center" colspan="1" rowspan="1">$3.64</td>
                                <td align="center" colspan="1" rowspan="1">824,008</td>
                                <td align="center" colspan="1" rowspan="1">646,846</td>
                                <td align="center" colspan="1" rowspan="1">38.0%</td>
                                <td align="center" colspan="1" rowspan="1">245,802</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Central African
                                    <break/>Republic</td>
                                <td align="center" colspan="1" rowspan="1">225,383</td>
                                <td align="center" colspan="1" rowspan="1">1,352,296</td>
                                <td align="center" colspan="1" rowspan="1">$1.35</td>
                                <td align="center" colspan="1" rowspan="1">1,014,222</td>
                                <td align="center" colspan="1" rowspan="1">194,731</td>
                                <td align="center" colspan="1" rowspan="1">42.4%</td>
                                <td align="center" colspan="1" rowspan="1">82,566</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Chad</td>
                                <td align="center" colspan="1" rowspan="1">271,790</td>
                                <td align="center" colspan="1" rowspan="1">1,630,738</td>
                                <td align="center" colspan="1" rowspan="1">$2.44</td>
                                <td align="center" colspan="1" rowspan="1">587,065</td>
                                <td align="center" colspan="1" rowspan="1">301,686</td>
                                <td align="center" colspan="1" rowspan="1">41.6%</td>
                                <td align="center" colspan="1" rowspan="1">125,502</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Republic of
                                    <break/>Congo</td>
                                <td align="center" colspan="1" rowspan="1">106,228</td>
                                <td align="center" colspan="1" rowspan="1">637,366</td>
                                <td align="center" colspan="1" rowspan="1">$2.54</td>
                                <td align="center" colspan="1" rowspan="1">216,704</td>
                                <td align="center" colspan="1" rowspan="1">102,616</td>
                                <td align="center" colspan="1" rowspan="1">21.2%</td>
                                <td align="center" colspan="1" rowspan="1">21,755</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Democratic
                                    <break/>Republic of
                                    <break/>Congo</td>
                                <td align="center" colspan="1" rowspan="1">3,322,215</td>
                                <td align="center" colspan="1" rowspan="1">19,933,288</td>
                                <td align="center" colspan="1" rowspan="1">$1.10</td>
                                <td align="center" colspan="1" rowspan="1">18,936,624</td>
                                <td align="center" colspan="1" rowspan="1">3,528,192</td>
                                <td align="center" colspan="1" rowspan="1">47.0%</td>
                                <td align="center" colspan="1" rowspan="1">1,658,250</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Equatorial
                                    <break/>Guinea</td>
                                <td align="center" colspan="1" rowspan="1">22,289</td>
                                <td align="center" colspan="1" rowspan="1">133,735</td>
                                <td align="center" colspan="1" rowspan="1">$1.35</td>
                                <td align="center" colspan="1" rowspan="1">100,301</td>
                                <td align="center" colspan="1" rowspan="1">20,060</td>
                                <td align="center" colspan="1" rowspan="1">26.2%</td>
                                <td align="center" colspan="1" rowspan="1">5,256</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Ethiopia</td>
                                <td align="center" colspan="1" rowspan="1">10,937,173</td>
                                <td align="center" colspan="1" rowspan="1">65,623,036</td>
                                <td align="center" colspan="1" rowspan="1">$2.79</td>
                                <td align="center" colspan="1" rowspan="1">19,686,911</td>
                                <td align="center" colspan="1" rowspan="1">9,449,717</td>
                                <td align="center" colspan="1" rowspan="1">40.0%</td>
                                <td align="center" colspan="1" rowspan="1">3,779,887</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Gabon</td>
                                <td align="center" colspan="1" rowspan="1">52,711</td>
                                <td align="center" colspan="1" rowspan="1">316,265</td>
                                <td align="center" colspan="1" rowspan="1">$7.70</td>
                                <td align="center" colspan="1" rowspan="1">9,487</td>
                                <td align="center" colspan="1" rowspan="1">43,012</td>
                                <td align="center" colspan="1" rowspan="1">28.9%</td>
                                <td align="center" colspan="1" rowspan="1">12,431</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Gambia</td>
                                <td align="center" colspan="1" rowspan="1">51,276</td>
                                <td align="center" colspan="1" rowspan="1">307,659</td>
                                <td align="center" colspan="1" rowspan="1">$3.87</td>
                                <td align="center" colspan="1" rowspan="1">55,378</td>
                                <td align="center" colspan="1" rowspan="1">55,994</td>
                                <td align="center" colspan="1" rowspan="1">28.7%</td>
                                <td align="center" colspan="1" rowspan="1">16,070</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Ghana</td>
                                <td align="center" colspan="1" rowspan="1">1,856,309</td>
                                <td align="center" colspan="1" rowspan="1">11,137,856</td>
                                <td align="center" colspan="1" rowspan="1">$4.61</td>
                                <td align="center" colspan="1" rowspan="1">1,447,921</td>
                                <td align="center" colspan="1" rowspan="1">1,626,127</td>
                                <td align="center" colspan="1" rowspan="1">22.1%</td>
                                <td align="center" colspan="1" rowspan="1">359,374</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Guinea</td>
                                <td align="center" colspan="1" rowspan="1">623,308</td>
                                <td align="center" colspan="1" rowspan="1">3,739,845</td>
                                <td align="center" colspan="1" rowspan="1">$2.37</td>
                                <td align="center" colspan="1" rowspan="1">1,383,743</td>
                                <td align="center" colspan="1" rowspan="1">598,375</td>
                                <td align="center" colspan="1" rowspan="1">32.4%</td>
                                <td align="center" colspan="1" rowspan="1">193,874</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Guinea Bissau</td>
                                <td align="center" colspan="1" rowspan="1">62,461</td>
                                <td align="center" colspan="1" rowspan="1">374,766</td>
                                <td align="center" colspan="1" rowspan="1">$1.41</td>
                                <td align="center" colspan="1" rowspan="1">269,831</td>
                                <td align="center" colspan="1" rowspan="1">58,089</td>
                                <td align="center" colspan="1" rowspan="1">31.6%</td>
                                <td align="center" colspan="1" rowspan="1">18,356</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Ivory Coast</td>
                                <td align="center" colspan="1" rowspan="1">828,898</td>
                                <td align="center" colspan="1" rowspan="1">4,973,386</td>
                                <td align="center" colspan="1" rowspan="1">$2.83</td>
                                <td align="center" colspan="1" rowspan="1">3,580,838</td>
                                <td align="center" colspan="1" rowspan="1">800,715</td>
                                <td align="center" colspan="1" rowspan="1">21.6%</td>
                                <td align="center" colspan="1" rowspan="1">172,955</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Kenya</td>
                                <td align="center" colspan="1" rowspan="1">2,039,498</td>
                                <td align="center" colspan="1" rowspan="1">12,236,986</td>
                                <td align="center" colspan="1" rowspan="1">$2.44</td>
                                <td align="center" colspan="1" rowspan="1">4,405,315</td>
                                <td align="center" colspan="1" rowspan="1">1,847,785</td>
                                <td align="center" colspan="1" rowspan="1">29.2%</td>
                                <td align="center" colspan="1" rowspan="1">539,553</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Liberia</td>
                                <td align="center" colspan="1" rowspan="1">90,290</td>
                                <td align="center" colspan="1" rowspan="1">541,740</td>
                                <td align="center" colspan="1" rowspan="1">$2.27</td>
                                <td align="center" colspan="1" rowspan="1">195,026</td>
                                <td align="center" colspan="1" rowspan="1">82,886</td>
                                <td align="center" colspan="1" rowspan="1">33.6%</td>
                                <td align="center" colspan="1" rowspan="1">27,850</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Madagascar</td>
                                <td align="center" colspan="1" rowspan="1">1,801,047</td>
                                <td align="center" colspan="1" rowspan="1">10,806,284</td>
                                <td align="center" colspan="1" rowspan="1">$1.10</td>
                                <td align="center" colspan="1" rowspan="1">10,265,970</td>
                                <td align="center" colspan="1" rowspan="1">1,664,168</td>
                                <td align="center" colspan="1" rowspan="1">49.2%</td>
                                <td align="center" colspan="1" rowspan="1">818,771</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Malawi</td>
                                <td align="center" colspan="1" rowspan="1">1,976,868</td>
                                <td align="center" colspan="1" rowspan="1">11,861,210</td>
                                <td align="center" colspan="1" rowspan="1">$1.26</td>
                                <td align="center" colspan="1" rowspan="1">9,726,192</td>
                                <td align="center" colspan="1" rowspan="1">1,992,683</td>
                                <td align="center" colspan="1" rowspan="1">39.1%</td>
                                <td align="center" colspan="1" rowspan="1">779,139</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Mali</td>
                                <td align="center" colspan="1" rowspan="1">597,158</td>
                                <td align="center" colspan="1" rowspan="1">3,582,946</td>
                                <td align="center" colspan="1" rowspan="1">$1.94</td>
                                <td align="center" colspan="1" rowspan="1">1,719,814</td>
                                <td align="center" colspan="1" rowspan="1">648,513</td>
                                <td align="center" colspan="1" rowspan="1">33.8%</td>
                                <td align="center" colspan="1" rowspan="1">219,198</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Mozambique</td>
                                <td align="center" colspan="1" rowspan="1">2,272,891</td>
                                <td align="center" colspan="1" rowspan="1">13,637,344</td>
                                <td align="center" colspan="1" rowspan="1">$1.50</td>
                                <td align="center" colspan="1" rowspan="1">9,137,021</td>
                                <td align="center" colspan="1" rowspan="1">2,304,711</td>
                                <td align="center" colspan="1" rowspan="1">45.8%</td>
                                <td align="center" colspan="1" rowspan="1">1,055,558</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Niger</td>
                                <td align="center" colspan="1" rowspan="1">496,398</td>
                                <td align="center" colspan="1" rowspan="1">2,978,388</td>
                                <td align="center" colspan="1" rowspan="1">$2.07</td>
                                <td align="center" colspan="1" rowspan="1">1,310,491</td>
                                <td align="center" colspan="1" rowspan="1">595,678</td>
                                <td align="center" colspan="1" rowspan="1">42.2%</td>
                                <td align="center" colspan="1" rowspan="1">251,376</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Nigeria</td>
                                <td align="center" colspan="1" rowspan="1">11,667,985</td>
                                <td align="center" colspan="1" rowspan="1">70,007,910</td>
                                <td align="center" colspan="1" rowspan="1">$1.80</td>
                                <td align="center" colspan="1" rowspan="1">37,804,272</td>
                                <td align="center" colspan="1" rowspan="1">11,761,329</td>
                                <td align="center" colspan="1" rowspan="1">49.3%</td>
                                <td align="center" colspan="1" rowspan="1">5,798,335</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Rwanda</td>
                                <td align="center" colspan="1" rowspan="1">1,242,001</td>
                                <td align="center" colspan="1" rowspan="1">7,452,009</td>
                                <td align="center" colspan="1" rowspan="1">$1.76</td>
                                <td align="center" colspan="1" rowspan="1">4,098,605</td>
                                <td align="center" colspan="1" rowspan="1">1,035,829</td>
                                <td align="center" colspan="1" rowspan="1">36.7%</td>
                                <td align="center" colspan="1" rowspan="1">380,149</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Senegal</td>
                                <td align="center" colspan="1" rowspan="1">324,121</td>
                                <td align="center" colspan="1" rowspan="1">1,944,724</td>
                                <td align="center" colspan="1" rowspan="1">$2.38</td>
                                <td align="center" colspan="1" rowspan="1">719,548</td>
                                <td align="center" colspan="1" rowspan="1">330,603</td>
                                <td align="center" colspan="1" rowspan="1">20.2%</td>
                                <td align="center" colspan="1" rowspan="1">66,782</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Sierra Leone</td>
                                <td align="center" colspan="1" rowspan="1">165,580</td>
                                <td align="center" colspan="1" rowspan="1">993,483</td>
                                <td align="center" colspan="1" rowspan="1">$1.86</td>
                                <td align="center" colspan="1" rowspan="1">516,611</td>
                                <td align="center" colspan="1" rowspan="1">150,016</td>
                                <td align="center" colspan="1" rowspan="1">40.4%</td>
                                <td align="center" colspan="1" rowspan="1">60,606</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">South Sudan</td>
                                <td align="center" colspan="1" rowspan="1">773,131</td>
                                <td align="center" colspan="1" rowspan="1">4,638,788</td>
                                <td align="center" colspan="1" rowspan="1">$2.32</td>
                                <td align="center" colspan="1" rowspan="1">1,762,740</td>
                                <td align="center" colspan="1" rowspan="1">728,290</td>
                                <td align="center" colspan="1" rowspan="1">32.0%</td>
                                <td align="center" colspan="1" rowspan="1">233,053</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Tanzania</td>
                                <td align="center" colspan="1" rowspan="1">3,635,359</td>
                                <td align="center" colspan="1" rowspan="1">21,812,155</td>
                                <td align="center" colspan="1" rowspan="1">$1.95</td>
                                <td align="center" colspan="1" rowspan="1">10,469,834</td>
                                <td align="center" colspan="1" rowspan="1">3,795,315</td>
                                <td align="center" colspan="1" rowspan="1">37.8%</td>
                                <td align="center" colspan="1" rowspan="1">1,434,629</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Togo</td>
                                <td align="center" colspan="1" rowspan="1">318,556</td>
                                <td align="center" colspan="1" rowspan="1">1,911,337</td>
                                <td align="center" colspan="1" rowspan="1">$1.95</td>
                                <td align="center" colspan="1" rowspan="1">917,442</td>
                                <td align="center" colspan="1" rowspan="1">296,257</td>
                                <td align="center" colspan="1" rowspan="1">33.3%</td>
                                <td align="center" colspan="1" rowspan="1">98,654</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Uganda</td>
                                <td align="center" colspan="1" rowspan="1">2,926,297</td>
                                <td align="center" colspan="1" rowspan="1">17,557,780</td>
                                <td align="center" colspan="1" rowspan="1">$2.23</td>
                                <td align="center" colspan="1" rowspan="1">7,023,112</td>
                                <td align="center" colspan="1" rowspan="1">3,213,074</td>
                                <td align="center" colspan="1" rowspan="1">30.2%</td>
                                <td align="center" colspan="1" rowspan="1">970,348</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Zambia</td>
                                <td align="center" colspan="1" rowspan="1">1,311,962</td>
                                <td align="center" colspan="1" rowspan="1">7,871,771</td>
                                <td align="center" colspan="1" rowspan="1">$1.58</td>
                                <td align="center" colspan="1" rowspan="1">4,959,216</td>
                                <td align="center" colspan="1" rowspan="1">1,361,816</td>
                                <td align="center" colspan="1" rowspan="1">42.1%</td>
                                <td align="center" colspan="1" rowspan="1">573,325</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">Zimbabwe</td>
                                <td align="center" colspan="1" rowspan="1">324,530</td>
                                <td align="center" colspan="1" rowspan="1">1,947,180</td>
                                <td align="center" colspan="1" rowspan="1">$3.42</td>
                                <td align="center" colspan="1" rowspan="1">428,380</td>
                                <td align="center" colspan="1" rowspan="1">305,707</td>
                                <td align="center" colspan="1" rowspan="1">28.1%</td>
                                <td align="center" colspan="1" rowspan="1">85,904</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">TOTAL:</td>
                                <td align="center" colspan="1" rowspan="1">54,008,214</td>
                                <td align="center" colspan="1" rowspan="1">324,049,282</td>
                                <td align="center" colspan="1" rowspan="1">-</td>
                                <td align="center" colspan="1" rowspan="1">162,790,985</td>
                                <td align="center" colspan="1" rowspan="1">52,702,122</td>
                                <td align="center" colspan="1" rowspan="1">-</td>
                                <td align="center" colspan="1" rowspan="1">21,543,170</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
        </sec>
        <sec>
            <title>Impact of poverty reduction on stunting in Peru</title>
            <p>In 
                <xref ref-type="table" rid="T3">Table 3</xref>, we summarize the evidence for changes in poverty and stunting from a case study of Peru (
                <xref ref-type="bibr" rid="ref-20">Levinson 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). The top section of 
                <xref ref-type="table" rid="T3">Table 3</xref> shows that from 2004 to 2011, the national poverty rate in Peru decreased by 31 percentage points, from 58.8% to 27.8% (
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
            <table-wrap id="T3" orientation="portrait" position="anchor">
                <label>Table 3. </label>
                <caption>
                    <title>Reduction in poverty and stunting in Peru (2004 to 2012).</title>
                    <p>Data from Levinson &amp; Balarajan, 'Addressing Malnutrition Multisectorally: What have we learned from recent international experience?' (2013).</p>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="1" valign="top">Variable</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">National</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">Rural</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">Urban</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">CRECER-targeted
                                <break/>districts</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="center" colspan="1" rowspan="3" valign="top">Poverty (percentage point decrease):</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">Poverty Rate in 2004:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">58.8%</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">Poverty Rate in 2011:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">27.8%</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">Percentage point decrease
                                <break/>in poverty:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">31.0%</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="3" valign="top">Stunting (percentage point decrease
                                <break/>among under-5 population):</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">Stunting Rate in 2007-2008:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">28.5%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">45.7%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">15.6%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">54.7%</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">Stunting rate in 2012:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">18.1%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">31.9%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">10.5%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">33.3%</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">Percentage point decrease
                                <break/>in stunting:</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">10.4%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">13.8%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">5.1%</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">21.4%</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>The lower part of 
                <xref ref-type="table" rid="T3">Table 3</xref> summarizes the change in stunting rates at the national level and sub-national levels for rural districts, urban districts and districts that were targeted by the government&#x2019;s CRECER program. The CRECER program (the National Nutrition Strategy for Poverty Reduction and Economic Opportunities) was a multisectoral strategy to improve nutrition that included results-based incentives for local participation (
                <xref ref-type="bibr" rid="ref-20">Levinson 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). Most of the districts where the program was implemented were in rural areas. While the percentage point decrease in the rural and CRECER-targeted districts was 13.8% and 21.4%, respectively, there was only a 5.1% decrease in urban areas (
                <xref ref-type="bibr" rid="ref-20">Levinson 
                    <italic toggle="yes">et al.</italic>, 2013</xref>; 
                <xref ref-type="bibr" rid="ref-44">World Bank, 2012</xref>). Nationally, Peru experienced a 10.4 percentage point decrease from the 2007/2008 baseline period to 2012 (
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
            <p>An evaluation of the impact of the CRECER program concluded that income growth played an important role in enabling multisectoral efforts to decrease undernutrition, although the declines in stunting could not be exclusively attributed to economic growth and poverty reduction (
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). There is increasing interest in implementing similar multisectoral nutrition programs in sub-Saharan Africa (
                <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>; 
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al.</italic>, 2018</xref>):</p>
            <list list-type="bullet">
                <list-item>
                    <label/>
                    <p>&#x201c;Although the declines in stunting cannot be exclusively attributed to economic growth and poverty reduction in Peru, it is important for policy makers in SSA countries to consider income growth and reduced income variability as necessary but not sufficient conditions for the reduction of child stunting&#x201d; (
                        <xref ref-type="bibr" rid="ref-35">Skoufias 
                            <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
                </list-item>
            </list>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <sec>
                <title>Impact of eliminating malaria on poverty rates in sub-Saharan Africa</title>
                <p>In a recent study, we found that eliminating malaria by 2040 would reduce the number of malaria cases experienced by agricultural households in sub-Saharan Africa by approximately 565 million to 1.1 billion cases from 2018 to 2040 as opposed to the number of cases for an unchanged malaria burden over that period (
                    <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>). Eliminating malaria would enable adults in agricultural households to work an additional 3 billion days and children to attend 1.5 billion more days of school (
                    <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>).</p>
                <p>
                    <xref ref-type="fig" rid="f1">Figure 1</xref> illustrates how suppressing malaria could affect the income of an agricultural household. Suppressing malaria may lead the household to make different decisions than otherwise regarding which crops to plant and how much to invest in agricultural inputs. The suppression of malaria may also increase the productivity of agricultural households by reducing the number of work days missed due to malaria. Recent research (
                    <xref ref-type="bibr" rid="ref-12">Fink &amp; Masiye, 2015</xref>) suggests that increasing the number of days worked by an agricultural household could increase the value of its harvest. We would therefore expect the suppression of malaria over the next two decades to increase the income of an agricultural household by increasing the value of agricultural harvests while also decreasing the household&#x2019;s expenditures on anti-malaria interventions (
                    <xref ref-type="bibr" rid="ref-43">Willis &amp; Hamon, 2019</xref>).</p>
                <p>We have previously found that eliminating malaria by 2040 would allow between 53 million and 123 million individuals in agricultural households to escape poverty, a 6.3&#x2013;37.9% decrease (
                    <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>). In contrast, only 40 million individuals among these same households would escape poverty by 2040 if the malaria burden were to remain at its 2018 level through 2040 (
                    <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>). There is a strong relationship between poverty and stunting rates in sub-Saharan Africa. The average difference between stunting rates in the richest quintile and poorest quintile from 2009 to 2013 among the southern, central, western and eastern regions of sub-Saharan Africa was 23% (
                    <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>). In western Africa, stunting rates were 47% over that period in the poorest quintile but only 18% in the richest quintile (
                    <ext-link ext-link-type="uri" xlink:href="https://data.unicef.org/wp-content/uploads/2015/12/Children-in-Africa-Brochure-Nov-23-HR_245.pdf">UNICEF</ext-link>). If no workers in sub-Saharan Africa today had experienced stunting in childhood, per capita income today would be 9&#x2013;10% higher (
                    <xref ref-type="bibr" rid="ref-13">Galasso 
                        <italic toggle="yes">et al</italic>., 2016</xref>).</p>
                <p>In Peru, a 31 percentage point decrease in the national poverty rate coincided with a 13.8 percentage point decrease in stunting in rural areas and a 21.4 percentage point decrease in districts targeted by a multisectoral initiative to improve nutrition (
                    <xref ref-type="bibr" rid="ref-35">Skoufias 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). Given our estimate that there are approximately 21.5 million children under the age of five with stunting in agricultural households in malarious regions of sub-Saharan Africa and the increased interest in implementing nutrition-improvement initiatives similar to that in Peru in sub-Saharan Africa, the international donor community should consider how the reduction in poverty due to malaria elimination initiatives could play a role in increasing the impact of such programs.</p>
            </sec>
            <sec>
                <title>Additional mechanisms by which suppressing malaria would affect stunting</title>
                <p>Although our findings indicate that the effect of suppressing malaria on poverty rates could reduce the stunting burden in sub-Saharan Africa, malaria suppression may also make children less susceptible to the health impacts of malnutrition more directly. A study of children in Nigeria found that the weekly administration of a malaria prophylaxis (chloroquine) was correlated with a decrease in the number of deaths due to malnutrition as well as with less severe malnutrition (
                    <xref ref-type="bibr" rid="ref-7">Bradley-Moore 
                        <italic toggle="yes">et al.</italic>, 1985</xref>). Some evidence also indicates that reducing malaria may increase weight gain in children (
                    <xref ref-type="bibr" rid="ref-21">Man 
                        <italic toggle="yes">et al.</italic>, 1998</xref>), and recurrent episodes of malaria have also been found to have a negative effect on weight gain (
                    <xref ref-type="bibr" rid="ref-24">Marsden, 1964</xref>; 
                    <xref ref-type="bibr" rid="ref-24">Mcgregor 
                        <italic toggle="yes">et al</italic>., 1956</xref>; 
                    <xref ref-type="bibr" rid="ref-28">Rowland 
                        <italic toggle="yes">et al</italic>., 1977</xref>).</p>
            </sec>
            <sec>
                <title>Effect of improving nutrition (reducing stunting) on malaria burden</title>
                <p>Policies that improve the nutrition of households in malarious regions would also affect the malaria burden on these households, as improved nutrition may decrease the probability that a malaria inoculation will lead to a symptomatic case of malaria or death. Vitamin A supplements were found to be efficacious in reducing symptomatic malaria cases, splenomegaly and mean parasite density in children in Papua New Guinea (
                    <xref ref-type="bibr" rid="ref-33">Shankar, 2000</xref>), and some studies have found that zinc supplementation decreases the number of children admitted to health centers for malaria (
                    <xref ref-type="bibr" rid="ref-2">Bates 
                        <italic toggle="yes">et al</italic>., 1993</xref>; 
                    <xref ref-type="bibr" rid="ref-33">Shankar, 2000</xref>). An analysis of children in the Sudan found that a lower nutritional status led to an increased relative risk for malaria (
                    <xref ref-type="bibr" rid="ref-30">el Samani 
                        <italic toggle="yes">et al</italic>., 1987</xref>). A WHO report notes that improved nutrition enables people to lessen the severity of malaria cases (
                    <xref ref-type="bibr" rid="ref-45">World Health Organization, 2016</xref>).</p>
                <p>Several studies have identified a link between better nutrition and increased farmer productivity in Sierra Leone, Indonesia and Pakistan (
                    <xref ref-type="bibr" rid="ref-3">Behrman 
                        <italic toggle="yes">et al.</italic>, 1997</xref>; 
                    <xref ref-type="bibr" rid="ref-26">Pitt &amp; Rosenzweig, 1986</xref>; 
                    <xref ref-type="bibr" rid="ref-36">Strauss, 1986</xref>). There is evidence that anemia and malnutrition in adults reduce their productivity. More sick days and absenteeism from work have been associated with anemia and malnutrition, along with overall reduced levels of productivity (
                    <xref ref-type="bibr" rid="ref-1">Basta 
                        <italic toggle="yes">et al</italic>., 1979</xref>; 
                    <xref ref-type="bibr" rid="ref-8">Brooks 
                        <italic toggle="yes">et al.</italic>, 1979</xref>; 
                    <xref ref-type="bibr" rid="ref-15">Gilgen 
                        <italic toggle="yes">et al</italic>., 2001</xref>; 
                    <xref ref-type="bibr" rid="ref-27">Popkin, 1978</xref>; 
                    <xref ref-type="bibr" rid="ref-31">Scholz 
                        <italic toggle="yes">et al</italic>., 1997</xref>). Increasing the productivity of an agricultural household may increase its income and lower its malaria burden.</p>
            </sec>
            <sec>
                <title>Sustainable development goals for malaria and malnutrition</title>
                <p>Global progress to reduce malnutrition is insufficient to meet its SDG (
                    <xref ref-type="table" rid="T1">Table 1</xref>) (
                    <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>). Achieving the SDG for malnutrition will require more than nutrition-specific interventions. Stunting would be reduced by only 20% globally if all 10 interventions that target stunting directly were implemented  (
                    <xref ref-type="bibr" rid="ref-5">Bhutta 
                        <italic toggle="yes">et al.</italic>, 2013</xref>). The 
                    <italic toggle="yes">2017 Global Nutrition Report</italic> noted that better nutrition can contribute to progress toward a range of SDGs, namely, sustainable food production, strong infrastructure, health systems, equity and inclusion, and peace and stability (
                    <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>).</p>
                <p>Equity and inclusion is closely related to poverty, as 46% of all stunting cases globally occur among the 767 million people living in extreme poverty (
                    <xref ref-type="bibr" rid="ref-18">Hawkes &amp; Fanzo, 2017</xref>). In this study, we highlight how progress in three of these core areas can impact stunting: suppressing malaria leads to higher productivity among agricultural households, which leads to less poverty and, based on the evidence from Peru, less stunting. Just as we should not look at the challenges to improving nutrition in isolation, ignoring the relationship with other SDGs, we should not consider the links between nutrition and the other SDGs as independent, bidirectional relationships.  </p>
            </sec>
            <sec>
                <title>Multisectoral strategies to reduce stunting in sub-Saharan Africa</title>
                <p>Recommendations have been made for multisectoral programs to improve nutrition in sub-Saharan Africa (
                    <xref ref-type="bibr" rid="ref-25">Movement, 2018</xref>; 
                    <xref ref-type="bibr" rid="ref-35">Skoufias 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). These strategies focus on food security, care, water, sanitation and hygiene, and health (
                    <xref ref-type="bibr" rid="ref-35">Skoufias 
                        <italic toggle="yes">et al</italic>., 2018</xref>). An analysis of Demographic and Health Survey (DHS) data from 33 countries in sub-Saharan Africa provides a blueprint for designing and implementing multisectoral strategies to reduce stunting. All but five of the countries that were included in our analysis were among these 33 countries. The use of data to inform the decisions of each sector on how to allocate resources provides an opportunity for this initiative to reduce stunting to succeed, in contrast to previous multisectoral initiatives in Africa (
                    <xref ref-type="bibr" rid="ref-20">Levinson 
                        <italic toggle="yes">et al.</italic>, 2013</xref>). Senegal&#x2019;s Nutrition Enhancement Program (NEP) is an example of such a successful strategy (
                    <xref ref-type="bibr" rid="ref-35">Skoufias 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). The NEP was initiated in 2000, and stunting rates have decreased from more than 30% in 2000 to less than 19% in 2016 (
                    <xref ref-type="bibr" rid="ref-13">Galasso 
                        <italic toggle="yes">et al.</italic>, 2016</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>In this study, we examine a third component of the cycle (
                <xref ref-type="fig" rid="f1">Figure 1</xref>) of the impact of malaria on the welfare of agricultural households in sub-Saharan Africa: the impact of poverty reduction on stunting. This builds on our work showing the potential impact of eliminating malaria on the productivity and incomes of such households (
                <xref ref-type="bibr" rid="ref-41">Willis &amp; Hamon, 2018a</xref>; 
                <xref ref-type="bibr" rid="ref-42">Willis &amp; Hamon, 2018b</xref>; 
                <xref ref-type="bibr" rid="ref-43">Willis &amp; Hamon, 2019</xref>).</p>
            <p>We have developed new estimates indicating that there were approximately 21.5 million children with stunting in agricultural households in malarious regions of sub-Saharan Africa in 2018. We further identify a link between poverty reduction and a reduction in stunting on the basis of recent evidence from a nutrition program in Peru (
                <xref ref-type="bibr" rid="ref-35">Skoufias 
                    <italic toggle="yes">et al</italic>., 2018</xref>).</p>
            <p>As our previous work has shown that eliminating malaria by 2040 would lead to a 6.3&#x2013;37.9% decrease in poverty in agricultural households in malarious sub-Saharan Africa, we propose that malaria elimination efforts should be seen as having the additional benefit of mitigating the major health challenge of stunting. This has implications for funding for malaria elimination initiatives. As most rural populations in sub-Saharan Africa experience high rates of both malaria transmission and stunting, the international development community should not consider these two problems as isolated challenges: policies that successfully suppress one will also affect the other.</p>
            <p>
                <xref ref-type="fig" rid="f1">Figure 1</xref> contains a link from &#x2018;Nutrition security improves&#x2019; to &#x2018;Health Improves.&#x2019; Many of the long-term physical, social and cognitive impacts of stunting are irreversible. Undernourishment not only leads to stunting but also inhibits cognitive development. Individuals who experience stunting in childhood are at higher risk of non-communicable diseases as adults and often have reduced socioemotional skills. Reducing stunting leads not only to improved health as an adult but may also increase productivity, as childhood stunting is associated with delayed schooling and lower incomes as adults (
                <xref ref-type="bibr" rid="ref-6">Black 
                    <italic toggle="yes">et al.</italic>, 2013</xref>; 
                <xref ref-type="bibr" rid="ref-13">Galasso 
                    <italic toggle="yes">et al.</italic>, 2016</xref>; 
                <xref ref-type="bibr" rid="ref-19">Hoddinott 
                    <italic toggle="yes">et al.</italic>, 2013</xref>; 
                <xref ref-type="bibr" rid="ref-38">Victora 
                    <italic toggle="yes">et al.</italic>, 2016</xref>).</p>
            <p>In addition to developing a vision for eradicating malaria by 2040 (
                <xref ref-type="bibr" rid="ref-14">Gates &amp; Chambers, 2015</xref>), the Bill and Melinda Gates Foundation has recognized the importance of eliminating malnutrition. Bill Gates specifically stated in a 2018 interview (with 
                <ext-link ext-link-type="uri" xlink:href="https://www.businessinsider.com/bill-and-melinda-gates-share-one-problem-theyd-fix-with-magic-wand-2018-9">Business Insider</ext-link>) that this would be his target were he to have a magic wand.</p>
            <p>One potential limitation to our study is that the relationship between poverty rates and stunting may be distinctly different in Peru than in sub-Saharan Africa. A decrease in poverty rates among agricultural households in sub-Saharan Africa may have a larger or smaller impact on stunting rates than was observed in Peru.</p>
            <p>Future research should examine how improvements in income, education levels and gender equality due to suppressing malaria among agricultural households in sub-Saharan Africa would affect malnutrition and stunting. To address this research question, we recommend the collection of longitudinal data from households in Africa from a range of agro-ecosystems. Collecting longitudinal data of this type would help generate knowledge regarding heterogeneities in the impact of suppressing malaria on malnutrition and stunting across communities and over time.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>The dataset for this research, Malaria among agricultural households in 2018 in sub-Saharan Africa - July 2018, has been deposited in CSV format with Harvard Dataverse. DOI: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/ZFJ3XT">https://doi.org/10.7910/DVN/ZFJ3XT</ext-link> (
                <xref ref-type="bibr" rid="ref-40">Willis, 2018</xref>).</p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero "No rights reserved" data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors wish to thank Ma Victoria Acu&#x00f1;a, Marie Edelquin Bautista and Nicole Noelle Ibal  for their excellent research assistance with this project.</p>
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    <sub-article article-type="reviewer-report" id="report27648">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14004.r27648</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Maleta</surname>
                        <given-names>Kenneth</given-names>
                    </name>
                    <xref ref-type="aff" rid="r27648a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2536-3938</uri>
                </contrib>
                <aff id="r27648a1">
                    <label>1</label>School of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre, Malawi</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>9</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Maleta K</copyright-statement>
                <copyright-year>2019</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="relatedArticleReport27648" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12908.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors in their title propose to examine the potential relationship between eliminating malaria and reducing stunting in sub-Saharan Africa. The premise for this is that there is a link between poverty and stunting and that their previous work found that suppressing malaria reduced poverty rates among children in Agricultural households. What the authors have not stated unequivocally is what is the direct effect of malaria on stunting. In the abstract they however state &#x201c;
                <italic>The potential impact of suppressing malaria on the poverty rates of agricultural households could therefore play an important role in nutrition programs aiming to reduce stunting in Africa</italic>.&#x201d; This suggests that the authors consider malaria elimination and its impact on poverty as part of a menu of interventions including nutritional ones that can help reduce stunting. This is buttressed by their reference to the Peruvian multidisciplinary intervention where poverty reduction was identified as a potential necessary ingredient.</p>
            <p> </p>
            <p> My main concern with the above approach is that it highlights a necessary cause which may not be a sufficient cause in stunting reduction. That notwithstanding a persuasive case based on the Peruvian study is made. However, the authors do not use the estimates obtainable from the Peru study to apply them to estimates in the agricultural households to model how much variable levels of poverty changes can impact stunting. No attempt has been made to appraise the Peru findings with other work assessing the link between malaria and stunting. The paper only estimates stunting levels and proposes a hypothetical scheme though which the hypothesis can work but the hypothesis has not been tested. In short, the study design is very poor and also poorly described and prone to ecological fallacy.</p>
            <p> </p>
            <p> Other comments: 
                <list list-type="order">
                    <list-item>
                        <p>Overall organisation of the paper is very confusing and in some cases details that belong to methods are presented in the results section and details that should be in the results section are in the discussion section.</p>
                    </list-item>
                    <list-item>
                        <p>The introduction section is not coherent.</p>
                    </list-item>
                    <list-item>
                        <p>The framework presented in the methods section does not show how anything leads to stunting at all. It only shows the pathway to malaria reduction but does not go further to explain how this leads to any impact on stunting. This lack of description is manifest in lack of clarity in this section as well as absence of the results for this component of the framework.</p>
                    </list-item>
                    <list-item>
                        <p>The methods section lacks clarity of what exactly was done beyond the estimation of magnitude of stunting in small holder households.</p>
                    </list-item>
                    <list-item>
                        <p>Some basic issues such as definition of stunting are done poorly and in this section it is not clear whether the authors are describing stunting - the outcome, or stunting - the process of becoming stunted.</p>
                    </list-item>
                    <list-item>
                        <p>There is a section on assessing the link between reduction in poverty and reduction in stunting (page 3). The section is only a few sentences long, lacks details and unsurprisingly the results of the purported. Clarity of methods for making the assessment are required.</p>
                    </list-item>
                    <list-item>
                        <p>There are no statistics presented for any of the population estimates in any of the tables.</p>
                    </list-item>
                    <list-item>
                        <p>The discussion is quite disorganized and does not directly address the limited study results and largely reads like an introduction. There ought to be a discussion of the estimates presented and the validity of the proposed pathways to the outcome as well as how the authors have analysed this. No weaknesses of their approaches are discussed and how the presented findings compare with other findings.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>No</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>No</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Public Health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report27560">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14004.r27560</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Gari</surname>
                        <given-names>Taye</given-names>
                    </name>
                    <xref ref-type="aff" rid="r27560a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r27560a1">
                    <label>1</label>School of Public Health, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia</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>23</day>
                <month>8</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Gari T</copyright-statement>
                <copyright-year>2019</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="relatedArticleReport27560" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12908.1"/>
            <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 authors tried to show the relationship between malaria and under-nutrition, the&#x00a0;two important public health problems in SSA. The following areas need clarification: 
                <list list-type="order">
                    <list-item>
                        <p>For busy readers it is better to highlight the design, sample size and sampling procedure used, and brief method used in their previous studies, and others.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>Why did the authors use a study from Peru to compare with SSA, to show the&#x00a0;relationship between the two mentioned health problems? Why not both (nutrition and malaria study) from SSA?</p>
                    </list-item>
                    <list-item>
                        <p>The paper tried to show the impact of malaria on agricultural production and harvest, which is also well documented as the occurrence of malaria transmission overlaps with harvesting season in a lot of SSA and contributes to increased&#x00a0;poverty.</p>
                    </list-item>
                    <list-item>
                        <p>The authors also tried show the&#x00a0;impact of malaria on&#x00a0;malnutrition, and vice versa on page 7 paragraphs 4 and 5. However, the important point missing here is that&#x00a0;there is scientific controversy on the relationship between malaria and malnutrition. Thus, this issue needs to be shown here.</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>Malaria and nutrition</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="report27562">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14004.r27562</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Lindtj&#x00f8;rn</surname>
                        <given-names>Bernt</given-names>
                    </name>
                    <xref ref-type="aff" rid="r27562a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6267-6984</uri>
                </contrib>
                <aff id="r27562a1">
                    <label>1</label>Centre for International Health, University of Bergen, Bergen, Norway</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>1</day>
                <month>8</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Lindtj&#x00f8;rn B</copyright-statement>
                <copyright-year>2019</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="relatedArticleReport27562" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12908.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors state that &#x201c;Suppressing malaria could have a similar impact on stunting given that recent studies indicate that malaria suppression could increase productivity and reduce poverty in agricultural households&#x201d;. The objective of this study is to highlight how suppressing malaria could affect stunting rates among children in agricultural households in sub-Saharan Africa.&#x00a0;</p>
            <p> </p>
            <p> The authors write: &#x201c;However, no studies have examined how suppressing malaria could reduce the impact of malnutrition on households&#x201d;. There are numerous studies on the effect of malaria on malnutrition, and the authors need to present and discuss these studies. This is a research area with conflicting results. Recent cohort studies suggest that malaria can increase wasting, but not stunting. On the other hand, neither wasting nor stunting increases the risk for malaria.&#x00a0;</p>
            <p> </p>
            <p> It seems that the mechanism the authors wish to study is an indirect one where reduction of malaria reduces poverty, and then poverty reduces stunting. This is an interesting and probable hypothesis. However, and to my knowledge, no such study has been done, probably because there are no long-term studies (over years) that have tested this hypothesis. Such studies would demand longitudinal data for many years.&#x00a0;</p>
            <p> </p>
            <p> A major weakness of this paper is that the authors based their findings on studies from South America and make their conclusions on African populations. Although they aim to make conclusions about stunting at the household level, they aggregate data on country levels from Africa. Although poverty and stunting may have decreased, recent data suggest that malaria has increased. These types of ecological studies have some severe limitations (ecological fallacy), and the authors do not discuss these limitations.</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>No</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Infgectious disease epidemiology, malaria, malnutrition, global health</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
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