<?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.13749.1</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>The impact of the COVID-19 pandemic on gender-based violence and physical violence among women in Peru</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Quispe</surname>
                        <given-names>Antonio M</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/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2100-7423</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vargas</surname>
                        <given-names>Luc&#x00ed;a</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/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sotelo</surname>
                        <given-names>Manuel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rojas</surname>
                        <given-names>Yalisse G.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0882-2856</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sabaduche</surname>
                        <given-names>Jose</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Navarro</surname>
                        <given-names>Cleyber</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Universidad Continental, Junin, 12000, Peru</aff>
                <aff id="a2">
                    <label>2</label>Universidad Nacional Mayor de San Marcos, Lima, 15081, Peru</aff>
                <aff id="a3">
                    <label>3</label>Instituto de Medicina Legal y Ciencias Forenses, Lima, 15081, Peru</aff>
                <aff id="a4">
                    <label>4</label>Universidad Cientifica del Sur, Lima, 15067, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:drantonioquispe@gmail.com">drantonioquispe@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>8</day>
                <month>8</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>6</volume>
            <elocation-id>102</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>1</day>
                    <month>8</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Quispe AM et al.</copyright-statement>
                <copyright-year>2022</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/6-102/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Gender-based violence (GBV) is an increasing social problem worldwide, but it has been neglected despite its high relevance to women&#x2019;s health. In this study, we aim to assess the coronavirus disease 2019 (COVID-19) pandemic impact on GBV incidence in Peruvian and determine the physical violence prevalence and its associated factors among GBV victims.</p>
                <p>
                    <bold>Methods:</bold> We assessed the impact of the COVID-19 pandemic on the GBV weekly incidence by fitting an autoregressive integrated moving average model. Additionally, we assessed the physical violence prevalence and its associated factors by fitting a multivariate Poisson regression model with a link log and robust variance.</p>
                <p>
                    <bold>Results:</bold> We analyzed 588,587 cases of women victims of GBV and calculated an annual GBV incidence of 518, 714, 958, 596, and 846 cases per 100,000 women during the years 2017&#x2013;2021, respectively. During the COVID-19 pandemic, the observed GBV weekly incidence went significantly below the forecasted GBV weekly incidence since 2021. Overall, most GBV cases were of middle to high-risk (76%), regular (75%), and verbal (82%) violence. Most victims were single (81%), rural (75%), mothers with children (60%), who did not complete high school (54%). Most aggressors were men (81%), paid workers (77%), had completed high school education (63%), and partner of their victims (58%). Around 44% of the victims suffered physical violence and its main associated factors were aggressor&#x2019;s school education (adjusted prevalence ratio = 0.89; 95% confidence interval: 0.88-0.89), aggressor&#x2019;s age &lt;40 years old (1.30; 1.29&#x2013;1.30), aggressor&#x2019;s paid job (0.99; 0.98&#x2013;0.99), prior violence report (1.27; 1.26&#x2013;1.27), victim&#x2019;s age &lt;40 years old (1.23; 1.22&#x2013;1.24), and victim non-Peruvian citizenship (1.04; 1.01&#x2013;1.07).</p>
                <p>
                    <bold>Conclusions:</bold> GBV is endemic in Peru, but the COVID-19 pandemic reduced its burden significantly in 2020&#x2013;2021. Several characteristics of the cases, victims, and aggressors have changed over time, offering new opportunities for implementing interventions to address this social problem.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Violence</kwd>
                <kwd>Gender-Based Violence</kwd>
                <kwd>Intimate Partner Violence</kwd>
                <kwd>Domestic Violence</kwd>
                <kwd>Physical Abuse</kwd>
                <kwd>Risk Factors</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Gender-based violence (GBV) is a public health, social policy, and human rights concern
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Globally, over one out of three women experience physical or sexual violence in their lifetime, usually perpetrated by their intimate partner
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, most countries implemented lockdowns as an initial response. This measure immediately raised alerts about the increase in GBV cases and decreased health service access for GBV victims
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>. Contradictory, GBV research remained underfunded, and GBV provisions became scarce with increased GBV inequities for underserved groups
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>.</p>
            <p>GBV is a broad term encompassing different violence forms that share a common gender-based characteristic. Hence, GBV includes different general forms of violence such as domestic violence and intimate partner violence but also specific forms of violence such as verbal violence, physical violence, sexual violence, psychological abuse, and economic violence
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. Regardless of which form of GBV you explore, the lockdowns and social distance imposed during the COVID-19 pandemic have had as an unintended consequence the exacerbation of GBV
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Furthermore, the risk of death or physical harm intensified under pandemic conditions because of the generated dependency and proximity to their aggressors. In contrast, health care, GBV provisions, and escape routes got limited, leading some survivors to contemplate self-harm
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. In some low-middle income countries, GBV skyrocketed during the lockdowns and curfews compared to the pre-pandemic years
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. </p>
            <p>Before the COVID-19 pandemic, GBV was already endemic in Peru, with around three out of every five Peruvian women reporting being exposed to some form of GBV, including psychological abuse (53%) and physical violence (30%), and sexual abuse (7%)
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. However, fewer than one-third of GBV victims seek help at any public institution after being physically assaulted
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. Consequently, in a country with high social tolerance (59%) towards gender-based violence
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>, there was a genuine concern about the negative effect of the COVID-19 pandemic. In this study, we aim to assess the COVID-19 pandemic impact on GBV incidence and the changes in the characteristics of the GBV cases, victims, and aggressors. Additionally, we performed a cross-sectional analysis to assess the physical violence-associated factors among the GBV victims.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Ethics</title>
                <p>We use exclusively open data for the study, downloading it from Peruvian government public domains. This data before its publication is masked and clear from any individual identifier. The study did not involve risks to people's health and integrity, so the Peruvian Institute of Legal Medicine IRB approved the study protocol under IRB exemption regulation.</p>
            </sec>
            <sec>
                <title>Study design and population</title>
                <p>We conducted a cross-sectional study to assess the impact of the COVID-19 pandemic on the weekly incidence of GBV among women residents in Peru and evaluated the associated factors of physical violence. First, we contrasted the trend of the weekly incidence of GBV cases reported in Peru during 2017&#x2013;2021 against the weekly mortality from all causes. And second, we analyze the associated factors of physical violence among the women victims of GBV by contrasting the criminological characteristics of the cases, as well as the features of the victims and their aggressors, between the victims versus not victims of physical violence. To perform both analyses, we evaluated the open data from the surveillance system of GBV in Peru during 2017&#x2013;2021.</p>
            </sec>
            <sec>
                <title>Study outcome</title>
                <p>In our first analysis, we used the weekly incidence rate of GBV as the study outcome. Hence, at the national and regional levels, we calculated the weekly incidence rate of GBV by multiplying the accumulated cases per epidemiological week by 100,000 women and dividing the product by the estimated annual women population. Likewise, we calculated the weekly mortality rate by multiplying the accumulated death counts per epidemiological week by 100,000 and dividing the product by the estimated annual population. In our second analysis, we modeled the prevalence of physical violence among the women victims of GBV and assessed its associate factor. We define as positive to physical violence every GBV case where the victim reported having been hurt by kicking, hitting, slapping, hair pulling, grabbing, pushing, beating, lashing, hanging, asphyxia/strangling, wounded by any weapon or object, rape, or hurt by any other form of physical violence (scratching, biting, headbutting, etc.). In this analysis, we assessed as potential associated factors the criminological characteristics of the GBV cases and the characteristics of the victims and the aggressors.</p>
            </sec>
            <sec>
                <title>Data sources</title>
                <p>We obtained the GBV data, death counts, population estimates, and region's geographical boundaries using open data curated from the Peruvian government. First, we got GBV from the 
                    <ext-link ext-link-type="uri" xlink:href="https://portalestadistico.aurora.gob.pe/bases-de-datos-2021/">Peruvian Ministry of Women and Vulnerable Populations</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-16">16</xref>
                    </sup>. Second, we obtained the women population estimates from the Peruvian 
                    <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/poblaci%C3%B3n-peru">National Institute of Statistics and Informatics</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>
                    </sup>. Third, We got the death counts from all causes from the Peruvian 
                    <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/informaci%C3%B3n-de-fallecidos-del-sistema-inform%C3%A1tico-nacional-de-defunciones-sinadef-ministerio">National System of Deaths</ext-link> (SINADEF)
                    <sup>
                        <xref ref-type="bibr" rid="ref-18">18</xref>
                    </sup>. And four, we obtained the Peru regional boundaries for our maps from the 
                    <ext-link ext-link-type="uri" xlink:href="https://geoservidorperu.minam.gob.pe/geoservidor/download.aspx">Peruvian Ministry of the Environment</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>We performed a descriptive analysis to characterize the GBV cases, victims, and aggressors, as well as its variability before (2017&#x2013;2019) and during the COVID-19 pandemic (2020&#x2013;2021). Then, we performed a graphical analysis of the weekly incidence of GBV cases and the weekly mortality rates at the national by using the "ggplot2" package
                    <sup>
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>. After, we forecasted the 2017&#x2013;2019 data to assess the hypothetical scenario without the pandemic effect by fitting an autoregressive integrated moving average (ARIMA) model
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>. As part of the forecasting modeling, we tested whether the time series was not stationary using the Phillips-Perron test and for white noise using the Portmanteau test. After completing the model parametrization, we selected an ARIMA (4,1,1) as the most suitable model for our GBV data using Akaike's Information Criterion (AIC). Complementary, we assessed the regional distribution of GBV by mapping the annual incidence of GBV cases during the years 2017&#x2013;2021 using the QGIS program 3.22. Finally, we fit a Poisson regression model with a link log and robust variance to assess the associated physical violence factors using the prevalence ratio as a measure of interest. For the regression analysis, we used the packages "Epi," "foreign," "sandwich," "lmtest," and the procedures described by Espelt 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup> We evaluated as a potentially associated factor the criminological characteristics of the GBV cases and the characteristics the victims and the aggressors as potential associated factors. The criminological features of the GBV cases included: regular violence (defined as daily, weekly or monthly violence), rural origin (versus urban area), victim direct report, aggressor's violence report, femicide attempt, physical violence (including kicking, hitting, slapping, hair pulling, grabbing, pushing, beating, lashing, hanging, asphyxia/strangling, wounded by any weapon or object, rape, or hurt by any other form of physical violence), verbal violence (including screaming/yelling, devaluating/humiliating, rejecting, swearing, harassment, other forms of verbal violence and threads of death, harm, eviction or suicide), sexual violence (sexual assault, touching/indecent assault, sexual harassment, sexual exploitation, threats or intimidation to perform sexual acts and other forms of sexual violence such as forcing prostitution, pornography, etc.), and economic violence including refusing/evading obligation to provide food support, basic needs, financial aid, possession's subtraction, destruction or appropriation, or any other for or economic violence such as salary control, reduction, or limitation. We used R 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria) and 
                    <ext-link ext-link-type="uri" xlink:href="https://www.rstudio.com/">R Studio</ext-link> 1.2.5001 (Free Software Foundation, Inc., Boston, MA) for the statistical analysis and the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.qgis.org/en/site/">QGIS program</ext-link> 3.22 to elaborate the maps with the clustering analysis results.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Gender-based violence at the national level</title>
                <p>We analyzed 588,587 cases of women victims of GBV, reported by 450 reporting units across Peru. The annual average count of GBV cases reported by these centers was 276 (standard deviation [SD] =301; range: 4 to 3227) in 2017, 329 (S.D. =327; range: 4 to 2934) in 2018, 384 (SD =337; range: 5 to 2598) in 2019, 237 (SD =202; range: 1 to 1822) in 2020, and 328 (SD =242; range: 7 to 1778) in 2021. Based on these reports, we calculated an annual incidence of GBV of 518 cases per 100,000 women in 2017, 714 cases per 100,000 women in 2018, 958 cases per 100,000 women in 2019, 596 cases per 100,000 women in 2020, and 846 cases per 100,000 women in 2021. Compared to 2019, the latest pre-pandemic year, Peru recorded a reduction in its annual incidence of GBV of 37.7% in 2020 and 10.7% in 2021.</p>
            </sec>
            <sec>
                <title>Gender-based violence at the regional level</title>
                <p>At the regional level, the Peruvian regions that reported an annual incidence of GBV of over 1000 cases per 100,000 women increased from 1/25 in 2017 to 7/25 in 2018, and 14/25 in 2019. However, the count of these regions decreased to 6/25 in 2020 and rose again to 14/25 in 2021 (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). Overall, the regions with the highest annual incidence of GBV in Peru were Tumbes, Apur&#x00ed;mac, Arequipa, Ayacucho, Cusco, and Tacna, all of which exceeded over 1000 cases per 100,000 women during 2019&#x2013;2021. Conversely, Peru's regions with the lowest annual incidence of GBV were Ucayali and Cajamarca, with an annual incidence of GBV below 500 per 100,000 women consistently from 2017 to 2021 (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Regional incidence of gender-based violence in Peru during 2017&#x2013;2021.</title>
                        <p>Legend: The figure shows the evolution of the regional gender-based violence annual rates (cumulative cases counts per year/100,000 Peruvian women) in Peru during the years 2017 (
                            <xref ref-type="fig" rid="f2">Figure 2</xref>A), 2018 (
                            <xref ref-type="fig" rid="f2">Figure 2</xref>B), 2019 (
                            <xref ref-type="fig" rid="f2">Figure 2</xref>C), 2020 (
                            <xref ref-type="fig" rid="f2">Figure 2</xref>D), and 2021 (
                            <xref ref-type="fig" rid="f2">Figure 2</xref>E).</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15038/c94d0174-ac34-450b-b598-706b2097ef8d_figure1.gif"/>
                </fig>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Regional Incidence of GBV cases reported in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="2" valign="middle">Region</th>
                                <th align="center" colspan="5" rowspan="1" valign="top">Total GBV Cases per Year</th>
                                <th align="center" colspan="5" rowspan="1" valign="top">Annual GBV Incidence</th>
                            </tr>
                            <tr>
                                <th align="right" colspan="1" rowspan="1" valign="top">2017</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2018</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2020</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2017</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2018</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2020</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">2021</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Apur&#x00ed;mac</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1453</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2132</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3465</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2535</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3442</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">699.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1020.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1650.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1205.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1637.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tumbes</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">783</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1912</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1924</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1629</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1921</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">720.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1719.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1693.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1406.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1630.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Arequipa</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7896</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10554</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">13162</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9044</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12302</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1110.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1448.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1764.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1187.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1585.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Moquegua</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">544</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">823</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1156</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">764</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1338</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">632.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">942.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1303.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">850.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1470.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ayacucho</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2702</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3335</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5054</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3563</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4692</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">842.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1032.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1555.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1092.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1436.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cusco</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6373</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7912</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10741</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6995</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9617</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">990.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1211.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1620.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1043.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1421.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">San Mart&#x00ed;n</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2667</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3089</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4690</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3425</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6095</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">667.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">756.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1123.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">805.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1410.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Hu&#x00e1;nuco</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2068</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2863</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4249</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2520</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5021</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">554.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">764.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1130.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">670.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1338.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Madre de Dios</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">601</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">715</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">972</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">694</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1004</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">895.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1022.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1335.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">918.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1282.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tacna</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1319</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2298</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2823</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1837</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2339</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">767.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1308.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1573.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1004.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1257.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ancash</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3298</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4900</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7725</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4294</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6939</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">580.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">852.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1329.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">733.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1177.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Pasco</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">860</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1106</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1755</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1009</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1478</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">653.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">839.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1330.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">766.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1128.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ica</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2090</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3940</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5331</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3061</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5227</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">466.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">854.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1124.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">629.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1050.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Huancavelica</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1268</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1423</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1822</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1125</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1798</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">667.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">760.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">988.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">620.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1012.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Jun&#x00ed;n</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4345</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6029</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7809</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4020</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6596</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">654.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">898.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1152.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">588.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">960.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Amazonas</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1076</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1226</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1638</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1424</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1588</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">534.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">602.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">796.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">687.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">764.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ucayali</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">718</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">859</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">931</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">746</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2149</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">276.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">321.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">339.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">265.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">746.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Puno</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3390</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4256</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5379</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3542</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4566</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">543.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">680.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">857.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">565.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">731.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Lima</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23427</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">35909</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">47768</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27138</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">37119</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">453.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">679.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">884.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">492.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">662.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Piura</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2638</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3860</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6210</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4356</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6713</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">272.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">392.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">620.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">428.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">651.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">La Libertad</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3364</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4159</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6669</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4915</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6539</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">351.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">425.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">667.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">483.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">633.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Lambayeque</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1335</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2150</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3719</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2785</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3789</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">208.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">329.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">560.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">414.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">556.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Callao</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2063</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2732</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3458</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2247</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2970</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">381.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">492.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">609.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">387.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">502.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Loreto</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1986</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2387</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3283</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1796</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2356</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">417.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">494.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">669.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">361.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">469.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cajamarca</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2745</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3158</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3359</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2462</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3235</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">384.6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">439.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">464.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">338.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">444.8</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>

                                <bold>Legend:</bold> Annual gender-based violence (GBV) incidence is expressed as the total GBV cases counted per 100,000 women.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Gender-based violence weekly incidence trend before and during the COVID-19 pandemic</title>
                <p>From the first epidemiological week in 2017 to the 52nd epidemiological week in 2019, the GBV weekly incidence in Peru increased by around 0.06 GBV cases per 100,000 women per week (95% confidence interval [95% CI]: 0.02 to 0.10 GBV cases per 100,000 women) (
                    <xref ref-type="fig" rid="f2">Figure 2A</xref>). The increasing trend continued in 2020, reaching a peak of 22.7 GBV cases per 100,000 women per week in the epidemiological week 10&#x2013;2021. However, the COVID-19 pandemic significantly impacted the registry of GBV once Peru implemented a national lockdown at the epidemiological week 12 in 2020. The lockdown ended at the epidemiological week 27&#x2013;2020, three weeks after reaching the peak of Peru's first wave of the COVID-19 pandemic (
                    <xref ref-type="fig" rid="f2">Figure 2B</xref>). Since then, the reporting units began to operate progressively until they became fully operative in the epidemiological week 42 in 2020. In 2020, the GBV weekly incidence peaked at the epidemiological 46 with 20.5 cases per 100,000 women. And in 2021, the GBV weekly incidence started a plateau after the second epidemiological week.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Weekly incidence rates of gender-based violence and weekly mortality rates from all causes in Peru during 2017&#x2013;2021.</title>
                        <p>Legend: The figure shows the evolution of the national GBV weekly rates (cumulative cases counts per week /100,000 Peruvian women) in Peru during the years 2017&#x2013;2021 (
                            <xref ref-type="fig" rid="f2">Figure 2A</xref>) contrasted with the weekly mortality deaths (death counts per week /100,000 inhabitants of Peru) during the COVDI-19 pandemic in Peru (
                            <xref ref-type="fig" rid="f2">Figure 2B</xref>). Also, it shows the national quarantine period (blue shadow), which stops the cases reported from epidemiological weeks 10&#x2013;26.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15038/c94d0174-ac34-450b-b598-706b2097ef8d_figure2.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Impact of the COVID-19 pandemic on the gender-based violence weekly incidence</title>
                <p>Our time series analysis observed a non-stationary positive trend in the weekly incidence during 2017&#x2013;2019. We projected this trend to the years 2021&#x2013;2022 to assess the impact of the COVID-19 pandemic by fitting an ARIMA (4,1,1) (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). This model turned to be the most suitable model for our GBV data compared to the ARIMA (2,1,1) ARIMA (3,1,1) ARIMA (2,2,1), ARIMA (2,3,1), and ARIMA (2,4,1) models. Besides the total collapse of the reporting system during the lockdown, we observed that only for six weeks (from the epidemiological weeks 42&#x2013;49) the observed GBV weekly incidence was within the forecasted 95% confidence interval. Hence, we observed that during the COVID-19 pandemic, there was a significant reduction of the observed GBV weekly incidence, which seems to plateau since the epidemiological week 03 of 2021.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Forecasted versus the observed incidence of gender-based violence in Peru during 2017&#x2013;2021.</title>
                        <p>Legend: The figure shows the national GBV (Gender-Based Violence) weekly incidence (cumulative cases counts per week /100,000 Peruvian women) in Peru as observed during the years 2017&#x2013;2021 (Dashed line) contrasted 2020&#x2013;2021 forecasted GBV weekly incidence (
                            <xref ref-type="fig" rid="f1">Figure 1B</xref>). The 2020&#x2013;2021 GBV weekly incidence was forecasted using an ARIMA model using the 2017&#x2013;2019 GBV weekly incidence.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/15038/c94d0174-ac34-450b-b598-706b2097ef8d_figure3.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Criminological characteristics of the gender-based violence in Peru</title>
                <p>GBV cases are highly variable regarding their criminological characteristics (
                    <xref ref-type="table" rid="T2">Table 2</xref>). According to the Risk of Death or Physical Integrity Peruvian score, most women victims of GBV were at the middle (50%) or high risk (21%). Most GBV cases reported regular violence (75%) and verbal violence (82%). Around 44% of victims also suffered physical violence, 11% sexual violence, 7% economic violence, and 0.3% a femicide attempt. During 2017&#x2013;2021, the annual prevalence of high-risk violence (15.9% in 2017 to 23.8% in 2021) and violence regularity (69.0% in 2017 to 80.4% in 2021) increased significantly (p&lt;0.05). On the contrary, the annual prevalence of verbal violence (from 84.0% in 2017 to 78.5% in 2021) and economic violence (from 7.2% in 2017 to 5.2% in 2021) decreased significantly (p&lt;0.05).</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Criminological characteristics of the GBV cases reported in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="middle">Violence Characteristics</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Total
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2017
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2018
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2019
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2020
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2021
                                    <break/>n (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Death/integrity risk score</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Low risk</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">168,560 (28.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,173 (33.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">37,644 (33.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">45,974 (29.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24,082 (24.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">33,687 (23.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Middle risk</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">296,675 (50.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40,979 (50.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55,398 (48.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">76,801 (49.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">49,932 (51.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">73,565 (52.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;High risk</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">123,352 (21.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12,857 (15.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">20,685 (18.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">32,317 (20.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23,912 (24.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">33,581 (23.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Regular violence</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">439,128 (74.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55,889 (69.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">79,683 (70.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">114,377 (73.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">75,899 (77.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">113,280 (80.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Femicide attempt</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,581 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">250 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">304 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">404 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">330 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">293 (0.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Physical violence</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">257,626 (43.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">36,740 (45.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">52,265 (46.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">65,633 (42.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">41,316 (42.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">61,672 (43.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including pushing/punching</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">91,717 (15.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,897 (14.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,192 (15.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24,516 (15.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15,633 (16.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,479 (16.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including hair pulling</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">64,983 (11.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,242 (11.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">13,232 (11.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,397 (11.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10,123 (10.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">14,989 (10.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including slapping</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">59,276 (10.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">8,184 (10.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,887 (10.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,430 (10.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,324 (9.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">13,451 (9.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including kicking</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55,597 (9.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">8,757 (10.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,506 (10.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">14,399 (9.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">8,525 (8.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12,410 (8.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including asphyxia/hanging</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">19,787 (3.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,245 (2.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,018 (3.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,504 (3.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3,333 (3.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,687 (3.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Verbal violence</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">479,930 (81.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">68,059 (84.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">94,998 (83.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">127,904 (82.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">78,374 (80.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">110,595 (78.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including screaming/yelling</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">436,001 (74.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">61,657 (76.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">86,553 (76.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">115,708 (74.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">70,991 (72.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">101,092 (71.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including devaluation/humiliation</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">281,701 (47.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38,868 (48.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">56,039 (49.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">74,723 (48.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">46,526 (47.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">65,545 (46.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including death thread </td>
                                <td align="right" colspan="1" rowspan="1" valign="top">74,859 (12.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,987 (12.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,033 (14.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">20,529 (13.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,979 (12.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,331 (11.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including verbal rejection</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">62,840 (10.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,849 (7.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,570 (10.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">18,623 (12.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10,491 (10.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,307 (11.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including eviction thread </td>
                                <td align="right" colspan="1" rowspan="1" valign="top">59,672 (10.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,155 (11.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12,458 (11.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15,313 (9.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,496 (9.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">13,250 (9.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sexual violence</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">63,649 (10.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">8,419 (10.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,044 (9.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15,600 (10.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12,147 (12.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,439 (11.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including rape/sexual assault</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">33,193 (5.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,269 (5.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,724 (5.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7,448 (4.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,985 (6.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,767 (6.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including touching/indecent assault</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23,282 (4.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3,067 (3.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,362 (3.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6,167 (4.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,958 (5.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,728 (3.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Economic violence</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">42,567 (7.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,848 (7.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10,605 (9.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">12,398 (8.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6,402 (6.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7,314 (5.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including refusing/evading the
                                    <break/> obligation to provide food support</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,100 (2.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,176 (2.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,145 (4.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,819 (3.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,346 (2.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,614 (1.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Including refusing/evading the
                                    <break/> obligation to provide financial 
                                    <break/>support</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15,262 (2.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,666 (3.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,759 (2.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,683 (3.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,425 (2.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,729 (1.9)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>

                                <bold>Legend:</bold> GBV, gender-based violence</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Characteristics of women victims of gender-based violence in Peru</title>
                <p>The profile of the GBV victims also varied significantly during the COVID-19 pandemic (
                    <xref ref-type="table" rid="T3">Table 3</xref>). The GBV victims&#x00b4; age in Peru ranged from 1 to 104 years old, with a mean age of 30.6 years (SD = 16.5). Most victims were single (81%), from rural areas (75%), did not complete high school (54%), and have children (60%), with a median number of children of one (Interquartile range [IQR] = 3; range: 0 to 18). Around 3% of the victims were pregnant, and 1% were born outside Peru. In addition, most victims have a history of GBV previously reported (71%). Across the years 2017&#x2013;2021, we observed a significant (p&lt;0.05) increase in the GBV annual prevalence among victims with non-Peruvian citizenship (0.3% in 2017 to 1.6% in 2021), single status (79.4% in 2017 to 82.9% in 2021), and history of previous GBV reports (59.1% in 2017 to 76.8% in 2021). On the contrary, we observed a significant (p&lt;0.05) decrease in the annual GBV prevalence among women from urban areas (from 82.1% in 2017 to 49.2% in 2021).</p>
                <table-wrap id="T3" orientation="portrait" position="anchor">
                    <label>Table 3. </label>
                    <caption>
                        <title>Characteristics of the female GBV victims in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="middle">GBV Victims&#x2019; Characteristics</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Total
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2017
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2018
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2019
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2020
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2021
                                    <break/>n (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age, years, mean &#x00b1; SD</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.6 &#x00b1; 16.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.7 &#x00b1; 16.5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.7 &#x00b1; 16.4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.6 &#x00b1; 16.3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.7 &#x00b1; 16.7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30.5 &#x00b1; 16.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;0&#x2013;19 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">161,858 (27.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,297 (27.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,719 (27.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">41,229 (26.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,078 (27.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40,535 (28.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;20&#x2013;29 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">135,207 (23.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,668 (21.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25,782 (22.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">37,295 (24.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,571 (23.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">31,891 (22.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;30&#x2013;39 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">134,107 (22.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">18,859 (23.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">26,814 (23.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">35,815 (23.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">21,938 (22.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,681 (21.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x2265;40 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">157,415 (26.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,185 (27.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,412 (26.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40,753 (26.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">26,339 (26.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">37,726 (26.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Urban origin</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">443,252 (75.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">66,505 (82.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">95,480 (84.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">131,205 (84.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">80,796 (82.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">69,266 (49.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreign</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6,560 (1.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">260 (0.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">763 (0.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,886 (1.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,402 (1.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,249 (1.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Pregnant</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,835 (2.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,297 (2.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3,318 (2.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,409 (2.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,745 (2.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,066 (2.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Children, count, median &#x00b1; IQR</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2 &#x00b1; 3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">0 &#x00b1; 1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Single civil status</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">476,962 (81.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">64,279 (79.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">90,685 (79.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">125,410 (80.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">79,865 (81.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">116,723 (82.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Education</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;None</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,781 (4.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,313 (5.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,234 (4.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7,054 (4.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,725 (4.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">6,455 (4.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Pre-school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">116,323 (19.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,902 (22.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,962 (20.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,343 (19.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">18,643 (19.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">26,473 (18.8) </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Primary school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">174,689 (29.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24,404 (30.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">33,988 (29.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">44,821 (28.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">28,982 (29.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">42,494 (30.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Secondary school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">128,567 (21.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,624 (20.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24,225 (21.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">34,336 (22.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,043 (22.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">31,339 (22.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x00a0;Superior</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">141,227 (24.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,766 (21.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,318 (24.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38,538 (24.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23,533 (24.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">34,072 (24.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Paid job</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">217,863 (37.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">28,524 (35.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">42,931 (37.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">60,432 (39.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">35,424 (36.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">50,552 (35.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Prior violence report</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">416,280 (70.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">47,867 (59.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">74,713 (65.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">110,119 (71.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">75,381 (77.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">108,200 (76.8)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>

                                <bold>Legend:</bold> GBV, gender-based violence; SD, standard deviation; IQR, interquartile range.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Characteristics of the gender-based violence&#x2019; aggressors</title>
                <p>Like the GBV victims, the profile of the GBV aggressors also varied significantly during the COVID-19 pandemic (
                    <xref ref-type="table" rid="T4">Table 4</xref>). The age of the GBV aggressors in Peru is highly variable (range: 4 to 98 years old), with a mean age of 38.3 years old (SD = 12.1). Most aggressors were men (81%) with complete high school education (63%), a paid job (77%), and a partner history with their victims (58%). Around 45% of these aggressors cohabitate with their victims, 33% have a family bond, 27% use enablers (alcohol or drugs), and 0.9% were born outside Peru. Across the years 2017&#x2013;2021, we observed a significant (p&lt;0.05) increase in the annual GBV prevalence among foreign aggressors (0.2% in 2017 to 1.3% in 2021), enablers users (24.2% in 2017 to 27.2% in 2021), and those who cohabitate with their victims (44.1% in 2017 to 51.2% in 2021). On the contrary, we observed a significant (p&lt;0.05) decrease in the annual prevalence of GBV among aggressors with paid jobs (from 78.5% in 2017 to 75.7% in 2021).</p>
                <table-wrap id="T4" orientation="portrait" position="anchor">
                    <label>Table 4. </label>
                    <caption>
                        <title>Characteristics of the aggressors in the GBV cases reported in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">GBV Aggressors&#x2019; 
                                    <break/>Characteristics</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Total
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2017
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2018
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2019
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2020
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">2021
                                    <break/>n (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age, years, mean &#x00b1; SD</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.3
                                    <break/>&#x00b1;12.1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.6
                                    <break/>&#x00b1;11.8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.2
                                    <break/>&#x00b1;11.9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.1
                                    <break/>&#x00b1;12.0</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.3
                                    <break/>&#x00b1;12.2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38.4
                                    <break/>&#x00b1;12.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;0&#x2013;19 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">17,260 (2.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,048 (2.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3,095 (2.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,568 (3.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3,088 (3.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4,461 (3.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;20&#x2013;29 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">130,560 (22.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">16,695 (20.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24,895 (21.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">35,539 (22.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,041 (22.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">31,390 (22.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;30&#x2013;39 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">193,453 (32.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,380 (33.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38,285 (33.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">50,884 (32.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">31,648 (32.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">45,256 (32.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;&#x2265;40 years old</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">247,314 (42.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">34,886 (43.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">47,452 (41.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">64,101 (41.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">41,149 (42.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">59,726 (42.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Men </td>
                                <td align="right" colspan="1" rowspan="1" valign="top">530,294 (90.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">72,324 (89.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">102,281 (89.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">140,364 (90.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">88,457 (90.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">126,868 (90.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreign</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5,204 (0.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">197 (0.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">612 (0.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,491 (1.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,079 (1.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,825 (1.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Education</td>
                                <td align="right" colspan="1" rowspan="1" valign="top"/>
                                <td align="right" colspan="1" rowspan="1" valign="top"/>
                                <td align="right" colspan="1" rowspan="1" valign="top"/>
                                <td align="right" colspan="1" rowspan="1" valign="top"/>
                                <td align="right" colspan="1" rowspan="1" valign="top"/>
                                <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;None</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10,256 (1.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,503 (1.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,784 (1.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,681 (1.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1,855 (1.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2,433 (1.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;Pre-school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">47,052 (8.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7,934 (9.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">9,362 (8.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11,939 (7.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7,426 (7.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10,391 (7.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;Primary school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">155,129 (26.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22,296 (27.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,184 (26.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40,634 (26.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25,501 (26.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">36,514 (25.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;Secondary school</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">241,441 (41.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,382 (37.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">45,434 (40.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">63,287 (40.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">41,605 (42.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">60,733 (43.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;Superior</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">134,709 (22.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">18,894 (23.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">26,963 (23.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">36,551 (23.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">21,539 (22.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,762 (21.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Paid job</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">446,979 (77.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">62,799 (78.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">88,354 (78.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">118,539 (77.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">72,690 (75.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">104,597 (75.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Enablers</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">156,077 (26.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">19,603 (24.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">30,442 (26.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">41,366 (26.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">26,324 (26.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38,342 (27.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Family bond</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">196,237 (33.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27,955 (34.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">38,142 (33.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">48,788 (31.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">33,180 (33.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">48,172 (34.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Partner history</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">342,287 (58.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">47,452 (58.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">67,016 (58.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">93,065 (60.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55,765 (57.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">78,989 (56.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cohabitant</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">265,876 (45.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">35,690 (44.1)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">49,643 (43.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">67,669 (43.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40,769 (41.6)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">72,105 (51.2)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>
                                <bold>Legend:</bold> GBV, gender-based violence; SD, standard deviation. </p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Physical violence associated factors among women victims&#x2019; gender-based violence</title>
                <p>In our bivariate analysis, we observed that several characteristics of the GBV cases, victims, and aggressors might be associated with physical violence (
                    <xref ref-type="table" rid="T5">Table 5</xref>). The list included the following: aggressor's school education, aggressor's age &lt;40 years old, the aggressor's paid job, prior violence report, victim's &lt;40 years old, foreigner victim, victim's single status, aggressor family bond, aggressor partner bond, number of children, aggressor enablers intake, help-seeking, urban area, aggressor's men, economic violence, year, verbal violence, victim's paid job, foreign aggressor, and victim's school education. However, in our multivariate linear regression analysis that the main physical violence associated factors among women victim GBV were: aggressor&#x2019;s school education (adjusted prevalence ratio [aPR] = 0.89; 95% CI: 0.88 to 0.89), aggressor&#x2019;s &lt;40 years old (aPR = 1.30; 95% CI: 1.29-1.30), aggressor&#x2019;s paid job (aPR = 0.99; 95% CI: 0.98-0.99), prior violence report (aPR = 1.27; 95% CI: 1.26-1.27), victim&#x2019;s &lt;40 years old (aPR = 1.23; 95% CI: 1.22-1.24), foreigner victim (aPR = 1.04; 95% CI: 1.01-1.07) (
                    <xref ref-type="table" rid="T6">Table 6</xref>).</p>
                <table-wrap id="T5" orientation="portrait" position="anchor">
                    <label>Table 5. </label>
                    <caption>
                        <title>Physical violence associated factors among the GBV victims in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="2" valign="middle">Physical Violence
                                    <break/>Associated factors</th>
                                <th align="center" colspan="1" rowspan="2" valign="middle">Total
                                    <break/>n (%)</th>
                                <th align="center" colspan="2" rowspan="1" valign="middle">
                                    <italic toggle="yes">Physical violence</italic>
                                </th>
                                <th align="center" colspan="1" rowspan="2" valign="middle">
                                    <italic toggle="yes">p</italic>-value</th>
                            </tr>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Positive
                                    <break/>n (%)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Negative
                                    <break/>n (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s school education</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">376,150 (63.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">216,994 (65.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">159,156 (61.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s &lt;40 years old</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">335,863 (57.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">168,965 (51.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">166,898 (64.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s paid job</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">446,979 (77.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">252,745 (77.4)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">194,234 (76.7)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Prior violence report</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">416,280 (70.7)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">222,805 (67.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">193,475 (75.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x2019;s &lt;40 years old</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">431,172 (73.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">227,641 (68.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">203,531 (79.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreigner victim</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">6,560 (1.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3,182 (1.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3,378 (1.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s single status</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">476,962 (81.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">259,187 (78.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">217,775 (84.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor family bond</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">196,237 (33.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">119,043 (36.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">77,194 (30.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor partner bond</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">342,287 (58.2)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">185,249 (56.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">157,038 (61.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Children, Median &#x00b1; IQR</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1 &#x00b1; 2</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1 &#x00b1; 3</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor enablers intake</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">156,077 (26.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">82,735 (25.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">73,342 (28.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Help-seeking</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">238,697 (40.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">139,510 (42.2)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">99,187 (38.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Urban area</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">443,252 (75.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">253,856 (76.7)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">189,396 (73.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s men</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">530,294 (90.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">301,289 (91.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">229,005 (88.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Economic violence</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">42,567 (7.2)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">26,394 (8.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">16,173 (6.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Year</td>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2017</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">81,009 (13.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">44,269 (13.4)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">36,740 (14.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2018</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">113,727 (19.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">61,462 (18.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">52,265 (20.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2019</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">155,092 (26.4)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">89,459 (27.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">65,633 (25.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2020</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">97,926 (16.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">56,610 (17.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">41,316 (16.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2021</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">140,833 (23.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">79,161 (23.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">61,672 (23.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Verbal violence</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">479,930 (81.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">273,151 (82.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">206,779 (80.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s paid job</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">217,863 (37.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">125,578 (37.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">92,285 (35.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreign aggressor</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">5,204 (0.9)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2,658 (0.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2,546 (1.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s school education</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">269,794 (45.8)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">153,727 (46.5)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">116,067 (45.1)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN1">*</xref>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p id="FN1">
                                <bold>Legend:</bold> GBV, gender-based violence; IQR, interquartile range; * 
                                <italic toggle="yes">p</italic> value &lt;0.05.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T6" orientation="portrait" position="anchor">
                    <label>Table 6. </label>
                    <caption>
                        <title>Regression analysis of physical violence among GBV victims in Peru, 2017&#x2013;2021.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Factors associated</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">PR (95% CI)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p-</italic>value</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">aPR (95%CI)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p-</italic>value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s school education</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.91 (0.91 &#x2013; 0.92)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.89 (0.88 &#x2013; 0.89)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s &lt;40 years old</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.38 (1.38 &#x2013; 1.39)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.30 (1.29 &#x2013; 1.30)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s paid job</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.98 (0.97 &#x2013; 0.98)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.99 (0.98 &#x2013; 0.99)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Prior violence report</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.25 (1.24 &#x2013; 1.26)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.27 (1.26 &#x2013; 1.27)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x2019;s &lt;40 years old</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.37 (1.36 &#x2013; 1.38)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.23 (1.22 &#x2013; 1.24)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreigner victim</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.17 (1.15 &#x2013; 1.21)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.04 (1.01 &#x2013; 1.07)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s single status</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.27 (1.27 &#x2013; 1.29)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor family bond</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.86 (0.85 &#x2013; 0.86)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor partner bond</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.12 (1.12 &#x2013; 1.13)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Number of children</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.97 (0.97 &#x2013; 0.98)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor enablers intake</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.10 (1.10 &#x2013; 1.11)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Help-seeking</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.92 (0.91 &#x2013; 0.92)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Urban area</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.91 (0.90 &#x2013; 0.92)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aggressor&#x2019;s men</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.88 (0.87 &#x2013; 0.89)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Economic violence</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.86 (0.85 &#x2013; 0.87)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Year</td>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2017</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">Reference</td>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top"/>
                                <td align="center" colspan="1" rowspan="1" valign="top">&#x00a0;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2018</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.01 (1.00 &#x2013; 1.02)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.008
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2019</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.93 (0.92 &#x2013; 0.94)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2020</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.93 (0.92 &#x2013; 0.94)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x00a0;&#x00a0;&#x00a0;2021</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.97 (0.96 &#x2013; 0.97)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Verbal violence</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.92 (0.91 &#x2013; 0.93)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s paid job</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.95 (0.94 &#x2013; 0.96)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Foreign victim</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.12 (1.09 &#x2013; 1.15)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Victim&#x00b4;s school education</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.97 (0.96 &#x2013; 0.97)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                    <xref ref-type="other" rid="FN2">*</xref>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">---</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p id="FN2">
                                <bold>Legend:</bold> GBV, gender-based violence; PR, prevalence ratio; aPR, adjusted prevalence ratio; CI, confidence interval; *, 
                                <italic toggle="yes">p</italic>-value &lt;0.05</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>In the last five years, Peru registered over a half million GBV cases, reaching the highest annual incidence in 2019 with 958 GBV cases per 100,000 women. Since the COVI-19 pandemic hit Peru, we observed a significant decrease in the incidence of GBV across Peru. Compared to 2019, the latest pre-pandemic year, Peru recorded a reduction in its annual incidence of GBV of 37.7% in 2020 and 10.7% in 2021. Despite this reduction, Peru sustained a high GBV incidence with over 846 GBV cases per 100,000 women in 2021. Furthermore, at the regional level, in 2021, the count of regions with GBV incidence over 1000 per 100,000 women rose again to the exact count observed in 2019 (14/25), soon after decreased substantially in 2020 (6/25). More specifically, before the COVID-19 pandemic, Peru experienced a significant and sustained increment in its GBV weekly incidence since 2017 until reaching a peak of 22.7 GBV cases per 100,000 women per week in the epidemiological week 10 of 2021. However, as soon as the pandemic started, countries entered a national lockdown, shutting down GBV registries, which will recover gradually upon countries reopening their economic activities since the epidemiological week 27 of 2020. After, Peru never registered GBV weekly incidences as high as the ones observed in the weeks before the COVID-19 pandemic, starting a plateau in the epidemiological week 2 of 2021.</p>
            <p>Globally, GBV and its forms spiked dramatically during the COVID-19 pandemic, to the point that global leaders labeled it as a &#x201c;shadow pandemic,&#x201d; &#x201c;pandemic within a pandemic,&#x201d;
                <sup>
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup> or more accurately as a perfect syndemic
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>
                </sup>.  Regardless, most countries entered national lockdowns and practically abandoned GBV victims to their luck by shutting down their most needed medical care, psychosocial support or counseling, access to shelters, and legal provisions
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. Before the COVID-19 pandemic, Peru was already experiencing an increasing burden of GBV, with nearly 1000 GBV cases per 100,000 women per year. In our study, we observed that upon entering the national lockdown due to the COVID-19 pandemic, the Peruvian government shut down the GBV surveillance system, the shelters, and legal services for over four months. Soon after, the United Nations Population Fund warned that national lockdowns severely disrupted the access to sexual and reproductive health services and hampered the ability of authorities to respond to gender-based violence
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. In response to the increasing GBV reports, In April 2020, the Peruvian government published the legislative decree 1140, which partially amended this situation, reopening most of these services online and implementing the mobile response teams (Itinerant Emergency Teams)
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>. Additionally, upon the recommendation of the Social Scientist Task Force to address the increasing GBV incidence, the Peruvian government habilitated two large shelters for over 1000 GBV victims
                <sup>
                    <xref ref-type="bibr" rid="ref-28">28</xref>
                </sup>. Regardless, when using the annual GBV incidence from 2019 as the baseline, we observed that Peru recorded a reduction of 37.7% in 2020 and 10.7% in 2021. However, Peru sustained a high annual GBV incidence with over 846 GBV cases per 100,000 women in 2021. Furthermore, our time series analysis confirmed that the COVID-19 pandemic significantly impacts the GBV weekly incidence, reducing its burden in 2020 and shifting its trend from increasing to a plateau that started on the second epidemiological week of 2021.</p>
            <p>The profile of the GBV cases varied largely across countries, but in Latin America, it seems that physical violence has a high prevalence that ranges from 16% to 41%
                <sup>
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>. Furthermore, previous reports evidenced that the mortality associated with GBV appears to be very high in Latina American countries contrasted with the rest of the countries worldwide
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup>. Such is the case of Peru, which before the pandemic shifted their femicides incidence from decreasing
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>,
                    <xref ref-type="bibr" rid="ref-32">32</xref>
                </sup> to increasing
                <sup>
                    <xref ref-type="bibr" rid="ref-33">33</xref>
                </sup>, reaching its higher femicides incidence in 2019 with a yearly incidence of 1.01 femicides per 100,000 women. In our study, we observed that during 2017&#x2013;2021 the GBV cases became more violent, increasing the annual prevalence of high-risk violence from 16% to 24% and the violence regularity from 69% to 80%. On the contrary, we observed that during the same period, the annual prevalence of verbal and economic violence decreased significantly, from 84% to 79% and from 7% to 5%, respectively.</p>
            <p>The GBV risk factors include younger age, being unmarried, having lower education, personal and family history of GBV during childhood, having an intimate relationship with a partner who abuses alcohol/drugs, victims' unemployment, and having a history of being a GBV aggressor
                <sup>
                    <xref ref-type="bibr" rid="ref-34">34</xref>
                </sup>. Furthermore, the GBV risk factors at the macro level include gender inequality, social spending, lack of police action after a GBV complaint, gender access inequity to education, and poor criminalization practice regarding GBV
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>. Understanding the impact of GBV risk factors at the macro level is essential to further understanding the COVID-19 pandemic impact on GBV incidence. It is particularly critical to understand further how the lockdowns and isolation increased the GBV risk and the barriers for the GBV victims to seek help and report their situation, independently of the individual risk factors
                <sup>
                    <xref ref-type="bibr" rid="ref-36">36</xref>
                </sup>. In our study, we observed that most victims were single, from rural areas, did not complete high school and were mothers with children. On the other site, most aggressors were men with paid jobs, finished high school education, and had a partner history with their victims.</p>
            <p>GBV varies widely across urban and rural areas, particularly in low-middle-income countries. In Eastern Africa, for example, the risks of experiencing intimate partner violence were significantly higher among women who resided in rural areas (RR = 1.13; CI 1.07&#x2013;1.22) than those who lived in urban areas
                <sup>
                    <xref ref-type="bibr" rid="ref-37">37</xref>
                </sup>. Previous studies reported that over their life, 45% of Peruvian women experience some form of GBV, with rates as high as 69% in rural areas
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>
                </sup>. Cities do not generate GBV, but they certainly offer more opportunities for reducing it than those provided in rural areas
                <sup>
                    <xref ref-type="bibr" rid="ref-39">39</xref>
                </sup>. In Peruvian rural areas, family values play a crucial role in the decision for women to continue abusive relationships based on the belief that the needs of the family take precedence over the needs of the individual
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>
                </sup>. Other factors that may help to understand the relationship between rural origin and GBV are the economic and educational factors, which are proven with the direct association between illiteracy and poverty with GBV in rural communities in Peru
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>
                </sup>. In our study, we observed that most victims were women from rural areas and that the GBV incidence was consistently higher among the regions in the highlands of Peru. This difference is because the highland areas are not only more rural than the regions from the coast and the jungle but also higher in poverty and women without secondary education than the rest of the country's women.</p>
            <p>Gender-based physical violence, which includes beating, burning, kicking, punching, biting, maiming, killing, or using objects or weapons, often escalates from milder forms of violence, including verbal and economic violence. Therefore, to prevent physical violence and ulterior femicides attempts is essential to study its risk factors, which seem to vary by country. For example, in African countries, the physical violence risk factors include having multiple intimate partners, income gap within couple households, and negative attitudes about sexual violence (for example, the belief that having non-consensual sex is not rape)
                <sup>
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>. In the United States, the risk factors for men perpetrating physical aggression against their partners included parental violence, dating before age 14, intermittent explosive disorder before and after age 20, dating aggression, and being victimized by the partner
                <sup>
                    <xref ref-type="bibr" rid="ref-41">41</xref>
                </sup>. In India, the physical violence risk factors include husbands regularly consuming alcohol, dowry harassment (which is the attempt to obtain more money or goods from a wife's family after the marriage), personal history of harsh physical punishment during childhood, and having witnessed their fathers beat their mothers
                <sup>
                    <xref ref-type="bibr" rid="ref-42">42</xref>
                </sup>. In our study, we observed that two of every five GBV victims suffered physical violence. We also observed that physical violence risk factors in Peru include the aggressor's age (below 40 years old), prior violence report, victim's age (below 40 years old), and foreign citizenship. In contrast, the physical violence protector factors were the aggressor's school education and the aggressor's paid job.</p>
            <p>This study increases the knowledge about GBV and physical violence in one of the countries with a high GBV incidence worldwide; however, several study limitations need to be considered. First, our study used secondary data, so the study is prone to selection and information bias. Such restriction is standard in studies that use national registries. Regardless, GBV's secondary data analysis is of great value and generates evidence to highlight the importance of GBV as an increasing social problem. A second limitation is that our study lacks a proper comparison group, so we assess the physical violence risk factors among the women that were already GBV victims. Regardless, such evidence is of high value for decision-makers that aim to prevent femicides by early recognizing which women among the ones that file a GBV complaint are at higher risk of physical violence. Finally, the study does not include specific cultural or ethnic information, which may allow us to characterize the femicide victims and perpetrators further. Nevertheless, our results may help identify new opportunities to prevent femicide by using the data already available in the GBV surveillance system.</p>
        </sec>
        <sec sec-type="conclusion">
            <title>Conclusion</title>
            <p>GBV is endemic in Peru, but the COVID-19 pandemic reduced its burden significantly in 2020&#x2013;2021. Despite this reduction, Peru sustained a high GBV incidence with over 846 GBV cases per 100,000 women in 2021. In this scenario, we recognize several characteristics of the cases, victims, and aggressors that have changed over time, offering new opportunities for implementing interventions and policies that address this social problem. The victims' characteristics that significantly increased across 2017&#x2013;2021 include non-Peruvian citizenship, single status, and history of previous GBV reports. The aggressors' characteristics that increased during 2017&#x2013;2021 were: foreign citizenship, enablers users, and cohabitation with their victims. On the contrary, the victims' and aggressors' characteristics significantly decreased during the study time were victims from urban areas and aggressors with paid jobs. Additionally, we observed that over two of every GBV victims suffered physical violence. Furthermore, we observed that among the GBV victims, the risk of physical violence decreased when the aggressor had a paid job and had finished high school. However, the risk of physical violence increased when the aggressors were below 40 years old, or the victims had a history of priorly filing a GBV report, aged below 40 years old, and had foreign citizenship.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>We described the metadata and links from each source in 
                    <xref ref-type="table" rid="T7">Table 7</xref>. The data used in our study is open data curated by the Peruvian government and freely available at:</p>
                <table-wrap id="T7" orientation="portrait" position="anchor">
                    <label>Table 7. </label>
                    <caption>
                        <title>Metadata for the datasets used in the research article.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Name</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Provider</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Year</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Format</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Source</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Number of cases attended
                                    <break/> by the urgent care service,
                                    <break/> according to sex, age
                                    <break/> group, type of violence, and
                                    <break/> department</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ministry of Women and
                                    <break/> Vulnerable Populations 
                                    <break/>(MIMP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017&#x2013;2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Comma-
                                    <break/>separated 
                                    <break/>values (CSV)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Continuous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <ext-link ext-link-type="uri" xlink:href="https://portalestadistico.aurora.gob.pe/bases-de-datos-2021/">https://portalestadistico.aurora.gob.pe/bases-de-datos-2021/</ext-link>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">National Deaths Informatics 
                                    <break/>System (SINADEF)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ministry of Health
                                    <break/> (MINSA)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017&#x2013;2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Comma-
                                    <break/>separated
                                    <break/> values (CSV)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Continuous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/informaci%C3%B3n-de-fallecidos-del-sistema-inform%C3%A1tico-nacional-de-defunciones-sinadef-ministerio">https://www.datosabiertos.gob.pe/dataset/informaci%C3%B3n-de-fallecidos-del-sistema-inform%C3%A1tico-nacional-de-defunciones-sinadef-ministerio</ext-link> </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Peruvian Population </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">National Institute
                                    <break/> of Statistics and
                                    <break/> Informatics (INEI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2017&#x2013;2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Comma-
                                    <break/>separated 
                                    <break/>values (CSV)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Continuous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/poblaci%C3%B3n-peru">https://www.datosabiertos.gob.pe/dataset/poblaci%C3%B3n-peru</ext-link> </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Peru regional boundaries </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ministry of the 
                                    <break/>Environment (MINAM)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2007</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Shapefile </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Continuous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <ext-link ext-link-type="uri" xlink:href="https://geoservidorperu.minam.gob.pe/geoservidor/archivos/download/Limite_departamental.rar">https://geoservidorperu.minam.gob.pe/geoservidor/archivos/download/Limite_departamental.rar</ext-link>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>
                                <bold>Legend:</bold> The "Format" column indicates the extension of the data. The "Variable" column reports the variable type of the data. Finally, the "Source" column presents the links to each dataset used in our study.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="https://portalestadistico.aurora.gob.pe/bases-de-datos-2021/">https://portalestadistico.aurora.gob.pe/bases-de-datos-2021/</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/informaci%C3%B3n-de-fallecidos-del-sistema-inform%C3%A1tico-nacional-de-defunciones-sinadef-ministerio">https://www.datosabiertos.gob.pe/dataset/informaci%C3%B3n-de-fallecidos-del-sistema-inform%C3%A1tico-nacional-de-defunciones-sinadef-ministerio</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="https://www.datosabiertos.gob.pe/dataset/poblaci%C3%B3n-peru">https://www.datosabiertos.gob.pe/dataset/poblaci%C3%B3n-peru</ext-link>
                        </p>
                    </list-item>
                    <list-item>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="https://geoservidorperu.minam.gob.pe/geoservidor/archivos/download/Limite_departamental.rar">https://geoservidorperu.minam.gob.pe/geoservidor/archivos/download/Limite_departamental.rar</ext-link>
                        </p>
                    </list-item>
                </list>
                <p>The official administrative boundaries for Peru regions are owned by the Ministry of Environment and can be accessed through the website 
                    <ext-link ext-link-type="uri" xlink:href="https://www.geogpsperu.com/">https://www.geogpsperu.com</ext-link>.</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://opendatacommons.org/licenses/by/1-0/">Open Data Commons Attribution License</ext-link> (ODC-By).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>We thank the Ministry of Women and Vulnerable Populations for their diligent work supporting the National Observatory of Violence against Women and Members of the Family Group and the open data used in the study. We also acknowledge the staff and community workers from the Women's Emergency Centers that procure first aid and legal support to the victims of gender-based violence in Peru.</p>
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            <title-group>
                <article-title>Reviewer response for version 1</article-title>
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            <contrib-group>
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                    <name>
                        <surname>Sifat</surname>
                        <given-names>Ridwan Islam</given-names>
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                    <label>1</label>School of Public Policy, University of Maryland Baltimore County, Baltimore, Maryland, USA</aff>
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            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed</p>
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            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>9</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Sifat RI</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
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        </front-stub>
        <body>
            <p>The existing information regarding the previous study's findings does offer readers insights into the foundation and methodology of the present study. Nevertheless, to provide a more comprehensive context, it is advisable to incorporate perspectives from diverse countries in the introduction and background sections. Additionally, the methodology section requires further elucidation regarding the rationale behind the selection of specific methods, techniques, and sampling procedures. Providing a clear justification for these choices is crucial. Moreover, the authors should furnish a thorough account of the methodology used for literature selection, including eligibility criteria and the exclusion process. This transparency is vital for assessing potential sample bias and the study's overall reliability.</p>
            <p> </p>
            <p> Furthermore, there's a need for greater clarity in how secondary data is handled. Expanding on the inclusion and exclusion criteria employed for the secondary data analysis would enhance the reader's understanding. Furthermore, the results paragraph needs to be summarized to provide a more fluent section for the readers. Also, the most relevant study limitations/shortcomings need to be appropriately described as the main caveats have been only partially reported.</p>
            <p> </p>
            <p> Finally, what is the take-home message of this manuscript? What are the exact recommendations? You need to rearrange the conclusion part for more analysis. The authors should explore additional perspectives from minority populations in different countries to enrich the study's findings and implications.</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>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>health disparities and inequities, health policy, public policy analysis, AI &amp; public policy, digital health, climate change &amp; health.</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>
        <back>
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</article>
