<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Women&#x2019;s Health</journal-id><journal-title-group>
<journal-title>Frontiers in Global Women&#x0027;s Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Women&#x2019;s Health</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2025.1654642</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Women and household responsibilities under COVID-19 lockdowns: many steps backwards in implementing SDG 5 in South Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Nhamo</surname><given-names>Godwell</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2600674/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Maoela</surname><given-names>Malebajoa Anicia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2654964/overview" /><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Exxaro Chair in Climate and Sustainability Transitions, University of South Africa</institution>, <city>Pretoria</city>, <country country="za">South Africa</country></aff>
<aff id="aff2"><label>2</label><institution>Holistic Climate Change Impact Area, Council for Scientific and Industrial Research</institution>, <city>Pretoria</city>, <country country="za">South Africa</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Malebajoa Anicia Maoela <email xlink:href="mailto:malebajoam@gmail.com">malebajoam@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-25"><day>25</day><month>11</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>6</volume><elocation-id>1654642</elocation-id>
<history>
<date date-type="received"><day>26</day><month>06</month><year>2025</year></date>
<date date-type="accepted"><day>03</day><month>11</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Nhamo and Maoela.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Nhamo and Maoela</copyright-holder><license><ali:license_ref start_date="2025-11-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license>
</permissions>
<abstract>
<p>Debates continue regarding the impacts of COVID-19 on women and girls. Lockdowns increased home-based responsibilities, causing work overloads and trauma. This study investigated the impact of COVID-19 lockdowns on women&#x0027;s household responsibilities and caregiving roles in Limpopo Province, assessing how these effects differed between urban and rural settings. Guided by the 2030 Agenda for Sustainable Development and key SDGs, including SDG 5 (Gender), SDG 4 (Quality Education), and SDG 6 (Water and Sanitation), the research utilized a quantitative survey-based approach, including household and teacher surveys. A total of 4,571 completed household surveys and 226 teacher surveys were conducted between October 2022 and March 2023. The study explored various aspects of gendered experiences during the pandemic, including water access, sanitation, education disruptions, and the increased caregiving burdens placed on women. Descriptive and inferential statistical analyses, including ANOVA tests, were conducted to examine the relationships between household dynamics, water access, and gendered responsibilities. The data revealed significant gender disparities, with women disproportionately impacted by inadequate water, unreliable sanitation facilities, and the added burdens of unpaid caregiving. The research highlighted the increased vulnerability of the girl child, particularly regarding school dropouts and unwanted pregnancies. The paper recommends gendered perspectives in pandemic responses and age-sensitive policies for resilience. It also urges decision-makers to recognize the long-term impacts of COVID-19 on achieving SDG 5 and related goals, such as SDG 3.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>SDG 5</kwd>
<kwd>SDG 3</kwd>
<kwd>SDG 4</kwd>
<kwd>stakeholders</kwd>
<kwd>women</kwd>
<kwd>girls</kwd>
<kwd>unpaid work</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. The research funds for fieldwork came from the University where authors work and a collaborating partner.</funding-statement></funding-group><counts>
<fig-count count="5"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="49"/><page-count count="14"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Women&#x0027;s Mental Health</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>The COVID-19 pandemic exposed and exacerbated existing gender inequalities particularly affecting the lives of women and girls across the globe (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). In South Africa, the pandemic intensified the unequal distribution of unpaid domestic work, increased the incidence of gender-based violence, and placed a disproportionate mental and emotional burden on women (<xref ref-type="bibr" rid="B2">2</xref>). These impacts intersect with efforts to promote gender equality, especially those outlined in the United Nations Development Goal 5 (SDG 5) which is dedicated to achieving &#x201C;gender equity and empower all women and girls&#x201D; [(<xref ref-type="bibr" rid="B3">3</xref>): 14&#x0026;18].</p>
<p>In Limpopo Province, the COVID-19 pandemic posed significant health and socio-economic challenges, exacerbated by the region&#x0027;s predominantly rural character, limited healthcare infrastructure, and high poverty rates (<xref ref-type="bibr" rid="B4">4</xref>). During the national lockdowns, Limpopo experienced mobility restrictions, temporary school closures, and disrupted service delivery, further straining economically vulnerable households (<xref ref-type="bibr" rid="B5">5</xref>). The provincial government, in line with national directives, implemented public health measures including mandatory mask-wearing, social distancing, and the distribution of relief grants to vulnerable populations (<xref ref-type="bibr" rid="B6">6</xref>). However, access to healthcare and mental health services remained limited in remote areas, heightening the impact of the pandemic on women and girls, who often bear the burden of caregiving, food provision, and household responsibilities (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Fisseha et al. (<xref ref-type="bibr" rid="B8">8</xref>) realises that the impact of COVID-19 went beyond the disease itself. In fact, Ronnie et al. (<xref ref-type="bibr" rid="B9">9</xref>) is of the view that it was a time of great stress, while Chauhan (<xref ref-type="bibr" rid="B10">10</xref>) contents that the environment surrounding COVID-19 is not gender neutral. Some of the impacts observed for women (<xref ref-type="bibr" rid="B8">8</xref>) include the increased burden of unpaid labour, scaled up gender-based violence in the households, and under-age marriages. Orellana et al. (<xref ref-type="bibr" rid="B11">11</xref>) adds that household food-related tasks like shopping and cooking became increased as there was a need to plan for such an activity. Such impacts led to additional mental health suffering (<xref ref-type="bibr" rid="B8">8</xref>), limited access to sexual and reproductive health services, as well as reduced employment opportunities and incomes. Drawing lessons from the USA, Liu and Gan (<xref ref-type="bibr" rid="B12">12</xref>) discover that unprecedented closures of large-scale childcare facilities resulted in dramatic increases in the burden of childcare at home. This challenge was also disproportionately addressed by women more than men (<xref ref-type="bibr" rid="B13">13</xref>), although this gendered effect was only reflected among parents with lower educational attainments and family incomes (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Tracking the housework re-allocation between gender and generations during the pandemic lockdowns in China, Wang (<xref ref-type="bibr" rid="B14">14</xref>) analysed 1,669 respondents from a survey, and 100 interviews. The research sought to examine changes in domestic labour patterns and the underlying reasons using homebound and job-free individuals whose employment status remained constant. The results show that men increase their uptake in grocery shopping, but reduce their cooking, cleaning, and laundry roles. The reasons given for these changes converged around the &#x201C;doing gender&#x201D; theory. Women in full-time employment ended up with more time to perform household chores, not to say their male counterparts did not have time on their hands. The findings challenge the notion that economic factors are the dominant drivers of the gender-based division of housework. Instead, the traditional ingrained gender norms that provided the continued framework that determined domestic roles remain. Household food-related tasks were also chosen by Orellana et al. (<xref ref-type="bibr" rid="B11">11</xref>) as deliberated earlier.</p>
<p>Expanding on mental health matters, and drawing from South Africa, Kopylova et al. (<xref ref-type="bibr" rid="B15">15</xref>) highlights that a significant proportion of women were already experiencing symptoms of depression prior to the onset of COVID-19, particularly those facing socio-economic hardship, unemployment, or caregiving burdens. Their findings point to an alarming pre-pandemic mental health baseline, which was further exacerbated by the pandemic&#x0027;s social and economic disruptions. While the study focused on national trends, these issues are particularly relevant to provinces like Limpopo, where high poverty rates, limited access to healthcare (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), and rural isolation compound existing vulnerabilities. In Limpopo, women are often primary caregivers and are more likely to experience food insecurity and limited psychosocial support, increasing their susceptibility to depression and anxiety during crisis periods. Social isolation measures, including prolonged lockdowns and school closures have been linked to heightened psychological distress, especially among caregivers tasked with childcare under constrained household conditions (<xref ref-type="bibr" rid="B16">16</xref>). Evidence also suggests that living in a food-insecure household or caring for dependents for extended hours sometimes between 13 and 24&#x2005;h a day, may increase the risk of mental health challenges, including anxiety and depression (<xref ref-type="bibr" rid="B17">17</xref>). Conversely, access to social protection mechanisms, such as government grants, and adherence to public health measures like mask-wearing, have been associated with reduced psychological strain during the pandemic (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Building on these perspectives, this study examines how COVID-19 lockdowns affected women&#x0027;s and girls&#x2019; household responsibilities in the Limpopo province of South Africa. Three objectives are outlined as follows: (1) To evaluate perceptions of how time was spent by women at home during COVID-19 lockdowns from their own point of view, (2) To determine male perspectives on how women spent their time at home during COVID-19 lockdowns, (3) To establish whether age and other socio-economic parameters played a role in responsibilities and time spent in the house by women during COVID-19 lockdowns. This work brings additional value to the body of literature broadly but, more specifically, to work pitched at municipal and household level in South Africa. The findings remain valuable in informing the current and future policy related to reducing pandemic and disaster risk.</p>
</sec>
<sec id="s2"><label>2</label><title>Literature review</title>
<p>This section presents the relevant literature associated with women&#x0027;s household responsibilities during COVID-19 lockdown restrictions. It also focuses on highlighting potential pressure points including the role played by water, sanitation and hygiene (WASH). Perspectives on teen pregnancies and school dropouts are also discussed. While further details will be unravelled in the following sub-sections, Haney and Barber (<xref ref-type="bibr" rid="B19">19</xref>) remind us that &#x201C;For many years, scholars have directed our attention to the gender gap in domestic labour. Even when women engage in paid employment, they nevertheless perform the majority of the household labour in most wealthy countries&#x201D;.</p>
<sec id="s2a"><label>2.1</label><title>Potential pressure points at home</title>
<p>In dealing with the responsibilities and time that women spend in their homes during the COVID-19 pandemic, it becomes essential to understand the pressure points that emerged and intensified in this period. In the context of this study, pressure points refer to critical areas of stress or vulnerability within households that became particularly pronounced during the pandemic. These points often revealed underlying social and infrastructural challenges, especially in low-resource settings. This paper focuses on three interconnected pressure points: water, sanitation and hygiene (WASH); increased domestic responsibilities; and the rise in teen pregnancies and school dropouts.</p>
<p>These areas were not selected arbitrarily, but rather because they intersect at the household level and reflect compounding burdens faced by women and girls. WASH-related responsibilities, for instance, often fall disproportionately on women, with the pandemic amplifying the demand for water and hygiene as part of non-pharmaceutical interventions for COVID-19 (<xref ref-type="bibr" rid="B20">20</xref>). At the same time, school closures and economic strain disrupted access to education and reproductive health services, placing adolescent girls at greater risk of pregnancy, early marriage, and permanent school dropout. These household-level disruptions, in turn, reinforced cycles of poverty and inequality.</p>
<p>WASH services were among those urgently required during COVID-19 to prevent transmission and maintain basic hygiene. SDG 6 calls upon the world to &#x201C;ensure availability and sustainable management of water and sanitation for all&#x201D; by 2030 [ (<xref ref-type="bibr" rid="B3">3</xref>): 14]. Several targets are then defined to achieve universal and equitable access to safe and affordable drinking water (SDG 6.1) and achieve access to adequate and equitable sanitation and hygiene, including ending open defecation (SDG 6.2). Special attention is given to the needs of women and girls. There is also a call to improve water quality (SDG 6.3). However, the advent of COVID-19 witnessed a pushback in progress as in some instances basic services came to a complete halt.</p>
<p>Compounding the strain on households was what has been described as a &#x201C;pandemic within a pandemic&#x201D; the rise in teen pregnancies and associated school dropouts. Mitana and Wendo (<xref ref-type="bibr" rid="B21">21</xref>) highlight that although COVID-19 affected everyone, &#x201C;adolescent girls were the most affected due to socio economic barriers, further compounding their social and emotional well-being and sexual and reproductive health&#x201D;. The work reveals a lack of systemic support at both at school and family/community levels. Musa et al. (<xref ref-type="bibr" rid="B22">22</xref>) found that early marriages and teenage pregnancies were significant, if often unspoken, consequences of the pandemic in Nigeria. Part of the aggravating circumstances were school closures during lockdowns and gender-based violence at home that forced other teens into marriages. However, all blame cannot be associated with the pandemic, as the practice of early marriages remains high in the country. Of interest are few perspectives raised by Rahiem (<xref ref-type="bibr" rid="B48">48</xref>) from a similar study in the province of Nusa Tenggara Barat province of Indonesia. The authors notice that teenagers got married because they thought and believed the marriages were an escape route &#x201C;from schoolwork, house chores, and the stress and boredom of studying and staying at home during the pandemic&#x201D; (Ibid.: 1).</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Women responsibilities at home under COVID-19 lockdown</title>
<p>Coyle et al. (<xref ref-type="bibr" rid="B13">13</xref>) survey 280 families in 2020 and another 199 families more than a year later to generate insights on (1) pre-pandemic vs. current work-family conflict, (2) division of labour and schooling, and (3) children&#x0027;s daily activities. Findings from the first survey reveal mothers having increased work-family conflicts. Family had an impact on work as mothers took on primary responsibilities of children&#x0027;s education at home, while the girl child spent more time of house chores and also educating their younger siblings. This brought mental health challenges. During the second survey, stress levels for mothers subsided as they were working less from home, with children largely returned to face-to-face schooling. However, daughters were now spending more time caring for siblings compared to the early days of the pandemic. They were, however, also spending less time on chores, overall. The authors recommended that to mitigate the scenarios presented, governments had to consider policies alleviating the burden through paid family leave.</p>
<p>Women in academics became a big subject of research during COVID-19 (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Power (<xref ref-type="bibr" rid="B23">23</xref>) acknowledges that while these women were already engaged in most of the unpaid care work in the world before COVID-19, this burden increased drastically during the pandemic. Similar findings emerged from India (<xref ref-type="bibr" rid="B10">10</xref>). To this end, without pro-active interventions from organised government, labour, civil society development partners, and other stakeholders (<xref ref-type="bibr" rid="B23">23</xref>), women and their families will be impacted for many more years to come. Such prolonged negative impacts will witness the 2030 Agenda for Sustainable Development in its SDGs and targets thrown out through the window. As this paper was being finalised, the world was in its 9th year of SDGs implementation, with 2030 coming ever closer.</p>
<p>Coming back to South Africa, Ronnie et al. (<xref ref-type="bibr" rid="B9">9</xref>) researched 2,029 women academics from 26 institutions of higher education The key burden that emerged was workload pressure. There were also issues regarding the provision of resources, top-down communication, with mistrust and limited support adding to the list. There was a misalignment of expectations between academics and their employers. Using the same data set, Walters et al. (<xref ref-type="bibr" rid="B49">49</xref>) went further to focus on the impact of COVID-19 on scholarly productivity of women academics While women are already underrepresented across the entire scholarly productivity spectrum, from peer review to publication, the pandemic resulted in further declines. Similar sentiments are expressed by Ucar et al. (<xref ref-type="bibr" rid="B24">24</xref>), that reminds us of the gender gap that has existed in academia, which expanded further during the pandemic.</p>
<p>In search of the causes of the decline, Walters et al. (<xref ref-type="bibr" rid="B49">49</xref>: 1) discovers that this was caused by &#x201C;a dramatic increase in teaching and administrative workloads, and the traditional family roles assumed by women while &#x2018;working from home&#x201D;. Among the variables that resulted in a productivity decline were having younger (children under 6 years) or multiple dependents at home, home schooling and comforting anxious children. Therefore, the two at home responsibilities with the highest impact were childcare and assisting with schoolwork. Apart from childcare that was ranked first (accounting for 74.6&#x0025; of the responses) and schoolwork (with 68.8&#x0025;), housework came in 3rd at 66.8&#x0025;, food preparation came in 4th with 58.9&#x0025;, and getting supplies was 5th with 44.8&#x0025; responses. Elsewhere outside of South Africa, parent-child conflicts were observed during homeschooling, adding to levels of stress (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>While existing literature has extensively examined the gendered implications of COVID-19, including women&#x0027;s increased domestic responsibilities, disruptions in education, and the exacerbation of vulnerabilities such as teen pregnancies and early marriages, significant research gaps remain. First, much of the current scholarship either addresses these issues in isolation or focuses on high-income or Global North contexts, with limited integrative analyses capturing the interlinkages between WASH (water, sanitation, and hygiene) challenges, domestic care burdens, and adolescent vulnerabilities within low-resource, Southern African settings. Second, few studies explore how these intersecting stressors simultaneously unfolded at the household level during the COVID-19 lockdowns, especially through a gender-responsive lens that connects macro-level development goals (such as SDG 6) with lived experiences on the ground. This study responds to these gaps by providing a context-specific, intersectional analysis of household-level pressures experienced by women and girls in South Africa during the pandemic.</p>
</sec>
</sec>
<sec id="s3" sec-type="methods"><label>3</label><title>Materials and methods</title>
<p>Research is generally informed by the 2030 Agenda for Sustainable Development (2030 AfSD) and its 17 interwoven SDGs and Paramita et al. (<xref ref-type="bibr" rid="B26">26</xref>) broader conceptualisation of gender that goes beyond binary biological sex. Drawing the 2030 AfSD (<xref ref-type="bibr" rid="B3">3</xref>), of particular importance were SDG 5 (Gender), SDG 4 (quality Education) and SDG 6 (Water and Sanitation). With this in mind, the paper sought to investigates the impact of COVID-19 lockdowns on women and the girl child&#x0027;s roles and responsibilities at the household level in South Africa&#x0027;s Limpopo Province. The focus was on two local municipalities that are part of the Capricorn District Municipality, namely: Molemole and Polokwane (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). These municipalities were purposefully selected based on guidance from the Limpopo Provincial Government to capture both urban and rural dynamics within the province. Polokwane, as the provincial capital, represents a more urbanised and economically active setting, whereas Molemole reflects a predominantly rural context with limited access to basic services. This diversity allowed the study to assess the differentiated impacts of COVID-19 lockdowns across contrasting socio-economic environments.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Location of the study area.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1654642-g001.tif"><alt-text content-type="machine-generated">Map showing a region in South Africa, highlighting Limpopo Province, with detailed areas Molemole and Polokwane. An inset displays Africa, indicating the location of South Africa. A scale bar and north arrow are present.</alt-text>
</graphic>
</fig>
<p>To continue with the research, an ethics clearance was granted by the Limpopo Provincial Research Ethics Committee on July 20, 2022, for Research Project No. LPREC/35/2022. The Limpopo Provincial Research Ethics Committee (LPREC) was registered with the National Health Research Council (NHREC) Registration Number REC-111513-038. Two surveys were also pitched. These included a household survey and a complementary teacher survey. Survey instruments were developed through a consultative process involving gender studies experts, local educators, and community representatives. Questions were informed by existing literature on gender roles, COVID-19 impacts, and household dynamics, as well as previously validated instruments such as the UNICEF COVID-19 Rapid Assessment tool (<xref ref-type="bibr" rid="B27">27</xref>), which were adapted for the local context. Both surveys were reviewed by three independent subject matter experts to ensure content validity, assessing relevance, cultural appropriateness, and clarity. An internal consistency was measured using Cronbach&#x0027;s alpha. Acceptable values above 0.7 confirmed sufficient internal reliability.</p>
<p>Internal reliability was further assessed for the main multi-item constructs included in the household and teacher survey instruments. Cronbach&#x0027;s alpha values above 0.7 were recorded across all constructs, confirming adequate internal consistency. Specifically, three sets of scales were tested: (1) a household responsibilities scale comprising items on time allocation to various domestic activities such as food preparation, childcare, household chores, and emotional support, each measured using a five-point Likert scale ranging from 1&#x2009;&#x003D;&#x2009;decreased drastically to 5&#x2009;&#x003D;&#x2009;increased drastically; (2) a WASH service reliability scale that captured perceptions of water adequacy, source reliability, and sanitation access, measured on a four-point Likert scale (1&#x2009;&#x003D;&#x2009;very unreliable to 4&#x2009;&#x003D;&#x2009;very reliable); and (3) a gendered division of labour perception scale assessing agreement with statements regarding men&#x0027;s and women&#x0027;s roles in household tasks, rated on a five-point agreement scale (1&#x2009;&#x003D;&#x2009;strongly disagree to 5&#x2009;&#x003D;&#x2009;strongly agree). The Cronbach&#x0027;s alpha coefficients for these scales ranged from 0.71 to 0.84, confirming acceptable levels of reliability for all constructs used in the study.</p>
<p>A census sampling approach was used, targeting all accessible households and public schools within the identified wards of both municipalities. The goal was to include the entire available population within each targeted area, thereby maximising coverage and minimizing sampling bias. For the household survey, the inclusion criteria specified adults aged 18 years and older residing in the household at the time of the survey. Questions specific to the perceived experiences of women during the COVID-19 pandemic were included in the survey, as the study focused on gendered impacts. The inclusion criteria required participants to be residents of the selected local municipalities and aged 18 or older. While women were the primary respondents for questions related to gendered experiences, if no adult woman was available or willing to participate, any other adult household member knowledgeable about household dynamics was interviewed. Households were excluded if no adult respondent was present or if residents declined participation.</p>
<p>This approach resulted in 4,571 completed household surveys and 226 teacher surveys conducted between October 2022 and March 2023. While the sample may not be statistically representative of the broader Limpopo Province or the entire Capricorn District, it is reflective of the population structures within the selected wards. Demographic characteristics of the respondents were compared with the 2016 South African Community Survey and the 2022 mid-year estimates from Statistics South Africa. These comparisons confirmed general alignment with local population trends, including household composition, age distribution, employment status, and gender, although there was a slight overrepresentation of female-headed households, likely a result of the study&#x0027;s focus on gendered roles during the pandemic. Despite the high response rate (approximately 99.9&#x0025;), the study acknowledges the potential for non-response bias and sampling errors. Certain households may have been unavailable or unwilling to participate, and this could have introduced minor biases related to household characteristics such as income, gender composition, or access to services. Efforts were made to minimize this through multiple revisits and the use of local enumerators familiar with the communities.</p>
<p>The household survey included sections on household demographics, water access, sanitation, education disruptions, and the gendered division of labour during lockdowns. The teacher survey focused on perceptions of learners&#x2019; well-being, educational setbacks, and observed shifts in gendered responsibilities among students. The surveys were uploaded to the QuestionPro platform, a facility that permits both on and offline administering of surveys. This was critical as the Limpopo province is known to be predominantly rural (<xref ref-type="bibr" rid="B28">28</xref>) with challenges internet connectivity.</p>
<p>Descriptive summary statistics were generated to determine the characteristics of the sample, with counts and percentages reported. To test bivariate associations, the study employed a One-way Analysis of Variance (ANOVA) to examine if there were any noteworthy differences among age groups and household sizes concerning the time women spent on various responsibilities during the lockdown. Before conducting the ANOVA, we assessed the assumptions associated with this statistical test to ensure the appropriateness of the data. Specifically, normality and homogeneity of the data were examined using the Shapiro&#x2013;Wilk test and Levene&#x0027;s test, respectively. The data exhibited mild violations of normality and homogeneity. However, since these violations were not significant, we proceeded with the one-way ANOVA test. To identify age groups and household sizes with significant differences, we employed the Tukey HSD <italic>post-hoc</italic> test, reporting unadjusted <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 values. All analyses were performed using JMP Pro SAS for Windows, version 16.2.0.</p>
</sec>
<sec id="s4"><label>4</label><title>Presentation of findings</title>
<p>The findings are presented in four sub-sections. The sub-sections include general demographics of the responding women, potential pressure points from lack of basis services like WASH, plight of the girl child, and the impact of COVID-19 on women at home. Each of these sub-sections will now be considered in turn.</p>
<sec id="s4a"><label>4.1</label><title>The demographics</title>
<p>The demographic information presented pertains to the household survey. During the survey, a total of 6,172 households were approached, with 4,571 households having participants who completed the survey. This gave a very high completion rate of about 99.9&#x0025;. This high return rate was largely attributed to the face-to-face administration of the survey by 30 trained field workers. On average, the survey took 22&#x2005;min.</p>
<p>In terms of gender distribution among respondents, 66.3&#x0025; were female, 33.7&#x0025; were male and a minimal 0.1&#x0025; chose not to disclose their gender. The bias towards females aligns with the focus of this article on explaining how COVID-19 in Limpopo province affected women and girls. Regarding the level of education, most of the respondents (39.7&#x0025;) had completed secondary education, and a significant number had tertiary education. Moreover, 60.9&#x0025; of the respondents identified as household head. The age cohorts were almost evenly spread with close to 33.1&#x0025; aged 60 and above. From all other age groups, the percentage share ranged from 15.7&#x0025; to 18.2&#x0025;. Marital status varied, with 32.5&#x0025; of the respondents in marriage, 17.2&#x0025; windowed, 47.5&#x0025; single, 2.5&#x0025; divorced and 0.4&#x0025; choosing not to disclose their marital status.</p>
<p>Household size analysis revealed that the majority had between 3 and 4 people, closely followed by 5&#x2013;6 people. There were also significant households with seven or more people (20&#x0025;), while those with 1&#x2013;2 people accounted for 16.9&#x0025;. Examining employment status, 48.5&#x0025; of women respondents were unemployed, 30.5&#x0025; were in retirement and/or pensioners, 5.7&#x0025; were full-time workers, 5.4&#x0025; were part-time workers, 3.9&#x0025; were students and 0.5&#x0025; chose not to disclose their employment status. Finally, with respect to household income, 75.8&#x0025; of respondents reported a monthly household income below R4,500<xref ref-type="fn" rid="n3"><sup>1</sup></xref>. The subsequent income brackets were R4,501&#x2013;R9,000 (9.3&#x0025;), R9,001&#x2013;R13,500 (3.4&#x0025;) and R13,001&#x2013;R18,000 (1.3&#x0025;), and over R18,001 (2.2&#x0025;), while 7.9&#x0025; were not sure of their monthly household income. Further details are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Socio-demographic characteristics of surveyed households.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">N (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Position held in the household</td>
</tr>
<tr>
<td valign="top" align="left">Household head</td>
<td valign="top" align="center">1,535 (49.7)</td>
</tr>
<tr>
<td valign="top" align="left">Spouse</td>
<td valign="top" align="center">584 (18.9)</td>
</tr>
<tr>
<td valign="top" align="left">Daughter</td>
<td valign="top" align="center">749 (24.3)</td>
</tr>
<tr>
<td valign="top" align="left">Relative</td>
<td valign="top" align="center">79 (2.6)</td>
</tr>
<tr>
<td valign="top" align="left">Son</td>
<td valign="top" align="center">15 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">126 (4.1)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Age (in years) groups</td>
</tr>
<tr>
<td valign="top" align="left">18&#x2013;29</td>
<td valign="top" align="center">511 (16.5)</td>
</tr>
<tr>
<td valign="top" align="left">30&#x2013;39</td>
<td valign="top" align="center">562 (18)</td>
</tr>
<tr>
<td valign="top" align="left">40&#x2013;49</td>
<td valign="top" align="center">495 (16)</td>
</tr>
<tr>
<td valign="top" align="left">50&#x2013;59</td>
<td valign="top" align="center">498 (16)</td>
</tr>
<tr>
<td valign="top" align="left">60&#x2013;69</td>
<td valign="top" align="center">1,010 (33.1)</td>
</tr>
<tr>
<td valign="top" align="left">Not disclosed</td>
<td valign="top" align="center">12 (0.4)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Education levels</td>
</tr>
<tr>
<td valign="top" align="left">No formal education</td>
<td valign="top" align="center">511 (16.5)</td>
</tr>
<tr>
<td valign="top" align="left">Completed primary education</td>
<td valign="top" align="center">873 (28.3)</td>
</tr>
<tr>
<td valign="top" align="left">Completed secondary education</td>
<td valign="top" align="center">1,225 (39.7)</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary education</td>
<td valign="top" align="center">457 (14.8)</td>
</tr>
<tr>
<td valign="top" align="left">Not disclosed</td>
<td valign="top" align="center">22 (0.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Marital status</td>
</tr>
<tr>
<td valign="top" align="left">Married</td>
<td valign="top" align="center">1,003 (32.5)</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">1,465 (47.4)</td>
</tr>
<tr>
<td valign="top" align="left">Divorced</td>
<td valign="top" align="center">77 (2.5)</td>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">529 (17.1)</td>
</tr>
<tr>
<td valign="top" align="left">Not disclosed</td>
<td valign="top" align="center">14 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Employment status</td>
</tr>
<tr>
<td valign="top" align="left">Full-time employment</td>
<td valign="top" align="center">173 (5.6)</td>
</tr>
<tr>
<td valign="top" align="left">Part-time employment</td>
<td valign="top" align="center">166 (5.4)</td>
</tr>
<tr>
<td valign="top" align="left">Self-employed</td>
<td valign="top" align="center">177 (5.8)</td>
</tr>
<tr>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">119 (3.9)</td>
</tr>
<tr>
<td valign="top" align="left">Unemployed</td>
<td valign="top" align="center">1,498 (48.7)</td>
</tr>
<tr>
<td valign="top" align="left">Retired</td>
<td valign="top" align="center">44 (1.4)</td>
</tr>
<tr>
<td valign="top" align="left">Pensioner</td>
<td valign="top" align="center">897 (29.2)</td>
</tr>
<tr>
<td valign="top" align="left">Unable to work</td>
<td valign="top" align="center">14 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9"><bold>An estimate of household income per month</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;R 4 500</td>
<td valign="top" align="center">2,341 (75.8)</td>
</tr>
<tr>
<td valign="top" align="left">R 4 500&#x2013;9 000</td>
<td valign="top" align="center">289 (9.4)</td>
</tr>
<tr>
<td valign="top" align="left">R 9 001&#x2013;13 500</td>
<td valign="top" align="center">105 (3.4)</td>
</tr>
<tr>
<td valign="top" align="left">R 13 501&#x2013;18 000</td>
<td valign="top" align="center">40 (1.3)</td>
</tr>
<tr>
<td valign="top" align="left">R 18, 001&#x002B;</td>
<td valign="top" align="center">69 (2.2)</td>
</tr>
<tr>
<td valign="top" align="left">I am not sure</td>
<td valign="top" align="center">244 (7.9)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#d9d9d9">Household size</td>
</tr>
<tr>
<td valign="top" align="left">1&#x2013;2</td>
<td valign="top" align="center">521 (17)</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;4</td>
<td valign="top" align="center">1,065(34)</td>
</tr>
<tr>
<td valign="top" align="left">5&#x2013;6</td>
<td valign="top" align="center">884(29)</td>
</tr>
<tr>
<td valign="top" align="left">7&#x002B;</td>
<td valign="top" align="center">618(20)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>The table shows a predominance of female respondents and medium-sized households, providing context for understanding gendered patterns in domestic responsibilities.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4b"><label>4.2</label><title>The potential pressure points</title>
<p>Potential pressure points impacting women&#x0027;s roles and responsibilities at the household level were investigated. Among such matters were WASH, living with patients with comorbidities, and food supplies. WASH remained at the centre of non-pharmaceutical interventions for COVID-19. To this end, it was necessary for this work to determine water sources, availability, and reliability at the household level. When asked about their main sources of domestic water during the pandemic, most of the respondents (40.7&#x0025;) indicated that they were using tap water from the community. Following this, 16.4&#x0025; mentioned having tap water in their own households, with the remaining portion shared by 13 other sources, and 5.4&#x0025; of respondents who indicated &#x201C;other sources&#x201D; (<xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref>). The investigation also revealed that the municipality served as the main source for 72.0&#x0025; of the respondents, with private sources accounting for 14.4&#x0025;, a combination of the two at 8.7&#x0025;, and other sources taking up the remining percentage (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>). Generally, the respondents strongly and/or agreed that the water quantities were adequate (73.1&#x0025;), with 24.6&#x0025; of the respondents indicating the quantity was not adequate. Only 2.2&#x0025; of the women surveyed were not sure (<xref ref-type="fig" rid="F2">Figure&#x00A0;2C</xref>). Asked to establish the main sources of water affected by the pandemic, the top two main ones highlighted in <xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref> were said to have been impacted, with 53.5&#x0025; of the surveyed women confirming this.</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Distribution and reliability of domestic water sources during the COVID-19 lockdown. Although municipal water was the dominant source, over 40&#x0025; of households reported inadequate or unreliable supply, revealing WASH service gaps that intensified women&#x0027;s daily labour burdens.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1654642-g002.tif"><alt-text content-type="machine-generated">Four bar charts show data on water sources and perceptions. (a) Main water source: 40.7% use inside tap water, 16.4% use piped water. (b) Water source: 72.0% from municipality. (c) Water adequacy: 42.2% agree it was adequate during COVID-19. (d) Reliability: 42.4% find water sources reliable.</alt-text>
</graphic>
</fig>
<p>Furthermore, a significant number of the respondents (41.7&#x0025;) also revealed that the water sources they used were unreliable, while 42.4&#x0025; found their sources to be reliable. Despite 15.5&#x0025; of the women indicating that their water sources were very reliable, a minimal figure (0.5&#x0025;) could not ascertain the reliability of their water source (<xref ref-type="fig" rid="F2">Figure&#x00A0;2D</xref>).</p>
<p>Linked to WASH was the issue of ablutions and/or toilet facilities. Approximately 59.8&#x0025; of respondents reported that their households use private and outside the home toilet facilities. Following this, 26.3&#x0025; used private and inside the house toilets, and 8.44&#x0025; used public/community toilets. Additionally, 3.3&#x0025; of respondents used both community and private toilet facilities. Those who did not specify comprised 2.2&#x0025; of the respondents.</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Plight of the girl child and additional challenges faced by women</title>
<p>Numerous studies have documented that the COVID-19 pandemic disproportionately affected women and girls, particularly in terms of mental health, unpaid caregiving burdens, and increased vulnerability to socio-economic stressors (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). In the present survey, respondents were asked whether they believed women and the girl child were more adversely affected by COVID-19 than men or boys. A total of 34.6&#x0025; of women affirmed this view, while 45.4&#x0025; did not. The remaining 20.0&#x0025; expressed uncertainty (<xref ref-type="fig" rid="F3">Figure&#x00A0;3A</xref>). Additionally, the continuity of education for the girl child was also a point of vulnerability. When respondents were asked to assess whether there was an increase in school dropouts for girls during the pandemic, 18.5&#x0025; confirmed this, while 58&#x0025; disagreed and 22.7&#x0025; were unsure (<xref ref-type="fig" rid="F3">Figure&#x00A0;3B</xref>). Addressing the issue of unwanted and COVID-19 related pregnancies in households, close to 75&#x0025; (<italic>n</italic>&#x2009;&#x003D;&#x2009;2,303) of respondents reported not facing such incidents. The top three cited causes for these pregnancies were the extended time in lockdown (45.4&#x0025;), idle time, especially for the youth (23.2&#x0025;), and the lack of access to family planning supplies and support services (11.4&#x0025;) (<xref ref-type="fig" rid="F3">Figure&#x00A0;3C</xref>).</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p><bold>(a&#x2013;c)</bold> perceived impact of COVID-19 on the girl child and women. Data for <bold>(a,b)</bold> are derived from the household survey; illustrate heightened domestic workloads and psychosocial stress experienced by women during lockdowns, while panel <bold>(c)</bold> drawn from teacher survey responses, reveals educators&#x2019; observations of increased vulnerability and reduced educational engagement among girls. Collectively, the results demonstrate how pandemic restrictions reinforced pre-existing gender inequalities in care, education, and well-being.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1654642-g003.tif"><alt-text content-type="machine-generated">Three-part chart analyzing women's challenges and causes of unwanted pregnancies. Part (a) shows 34.6% agree women face more challenges than male counterparts, 45.4% disagree, and 19.9% are unsure. Part (b) highlights challenges: 74.8% report issues related to unwanted pregnancies, 78.5% cite school dropouts, 72.5% note increased money usage. Part (c) details causes of unwanted pregnancies: 45.4% cite extended lockdown, 23.2% attribute to idle time, 11.4% lack access to family planning services, and 1.6% mention increased violence.</alt-text>
</graphic>
</fig>
<p>To triangulate the findings, a question was asked in the teacher survey (<italic>n</italic>&#x2009;&#x003D;&#x2009;226) regarding the extent of learner pregnancies in schools during COVID-19. About 38.5&#x0025; of respondents noted high to very high incidences, 46.0&#x0025; observed low to very low incidences and 15.5&#x0025; were uncertain (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>). The teacher survey further indicated that 39.4&#x0025; observed a high to very high growth in orphans, while 39.8&#x0025; reported low to very low growth and 20.8&#x0025; were uncertain about such growth (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>).</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>Teachers&#x2019; reports of learner pregnancies and increases in the number of orphans during the pandemic period.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1654642-g004.tif"><alt-text content-type="machine-generated">Bar chart comparing the frequency of responses about learner pregnancies and growth in orphans. Categories include \"Very high,\" \"High,\" \"Low,\" \"Very Low,\" and \"Not sure.\" Learner pregnancies are highest in \"Low\" and \"Not sure\" at 30.5%, while growth in orphans peaks at 30.1% in \"High\" and 20.8% in \"Not sure.\"</alt-text>
</graphic>
</fig>
<p>Regarding comorbidities, 36.9&#x0025; of the respondents indicated the presence of someone with comorbidities, while 61.1&#x0025; did not. The remaining 2&#x0025; were unsure. Living with people with comorbidities remained a traumatic experience, as research work had revealed high death rates due to COVID-19 in such people. In fact, hypertension, cardiovascular disease, and diabetes remained the most common comorbidity for those who died of COVID-19, and patients who had two or more comorbidities were the most vulnerable (<xref ref-type="bibr" rid="B31">31</xref>). Apart from dealing with patients with comorbidities, households had to deal with orphans.</p>
</sec>
<sec id="s4d"><label>4.4</label><title>Impact of COVID-19 on women at home in Limpopo</title>
<p>The question of how women spent their time in the household during COVID-19 remains a central topic of investigation in this paper. It emerged that during the lockdown, the time allocation of women towards various activities underwent significant shifts, reflecting the multifaceted impact of the pandemic on their daily responsibilities. Notably, a considerable proportion reported increased time spent on food planning and preparation (26.1&#x0025; drastically increased, 52.5&#x0025; increased) and household chores (24&#x0025; drastically increased, 58&#x0025; increased). Baby and child minding also saw notable changes, with 20&#x0025; experiencing a drastic increase and 51&#x0025; reporting a general increase. From the seven main parameters investigated regarding the responsibilities of women at home under lockdowns, there were noticeable drastic increases and/or increases in household chores (ranked 1st), meal planning and preparation (2nd), providing social and emotional support (3rd), baby and child minding (4th) and home schooling and/or school homework (5th). The continuity of education for girls was a point of vulnerability, as 18.7&#x0025; confirmed an increase in school dropouts. Tending to the sick and providing social and emotional support showed varying degrees of impact, while work-related activities saw changes of 3.3&#x0025; in a drastic increase and 15.4&#x0025; in a general increase. The results are shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Evaluation of responsibilities and time spent by women at home during lockdown, based on household survey data. Data reported N(&#x0025;).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Time spent by women on the following during lockdown</th>
<th valign="top" align="center">Increased drastically</th>
<th valign="top" align="center">Increased</th>
<th valign="top" align="center">Decreased</th>
<th valign="top" align="center">Decreased drastically</th>
<th valign="top" align="center">Not sure</th>
<th valign="top" align="center">N/A</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Food/mean planning and preparation (R1).</td>
<td valign="top" align="center">807<break/>(26.1)</td>
<td valign="top" align="center">1,620<break/>(52.5)</td>
<td valign="top" align="center">237<break/>(7.7)</td>
<td valign="top" align="center">26<break/>(0.8)</td>
<td valign="top" align="center">105<break/>(3.4)</td>
<td valign="top" align="center">292<break/>(9.5)</td>
</tr>
<tr>
<td valign="top" align="left">Household chores (R2)</td>
<td valign="top" align="center">739<break/>(24)</td>
<td valign="top" align="center">1,775<break/>(58)</td>
<td valign="top" align="center">193<break/>(6)</td>
<td valign="top" align="center">19<break/>(1)</td>
<td valign="top" align="center">104<break/>(3)</td>
<td valign="top" align="center">248<break/>(8)</td>
</tr>
<tr>
<td valign="top" align="left">Baby and child minding (R3)</td>
<td valign="top" align="center">624<break/>(20)</td>
<td valign="top" align="center">1,568<break/>(51)</td>
<td valign="top" align="center">85<break/>(3)</td>
<td valign="top" align="center">17<break/>(1)</td>
<td valign="top" align="center">76<break/>(2)</td>
<td valign="top" align="center">714<break/>(23)</td>
</tr>
<tr>
<td valign="top" align="left">Home schooling and/or school homework (R4)</td>
<td valign="top" align="center">507<break/>(16.5)</td>
<td valign="top" align="center">1,360<break/>(44.1)</td>
<td valign="top" align="center">220<break/>(7.1)</td>
<td valign="top" align="center">40<break/>(1.3)</td>
<td valign="top" align="center">117<break/>(3.8)</td>
<td valign="top" align="center">837<break/>(27.2)</td>
</tr>
<tr>
<td valign="top" align="left">Tendering the sick (R5)</td>
<td valign="top" align="center">303<break/>(9.8)</td>
<td valign="top" align="center">637<break/>(20.7)</td>
<td valign="top" align="center">90<break/>(2.9)</td>
<td valign="top" align="center">38<break/>(1.2)</td>
<td valign="top" align="center">115<break/>(3.7)</td>
<td valign="top" align="center">1,896<break/>(61.6)</td>
</tr>
<tr>
<td valign="top" align="left">Providing social and emotional support (R6)</td>
<td valign="top" align="center">512<break/>(16.6)</td>
<td valign="top" align="center">1,720<break/>(55.9)</td>
<td valign="top" align="center">98<break/>(3.2)</td>
<td valign="top" align="center">35<break/>(1.1)</td>
<td valign="top" align="center">114<break/>(3.7)</td>
<td valign="top" align="center">599<break/>(19.5)</td>
</tr>
<tr>
<td valign="top" align="left">Work-related activities (R7)</td>
<td valign="top" align="center">101<break/>(3.3)</td>
<td valign="top" align="center">473<break/>(15.4)</td>
<td valign="top" align="center">246<break/>(8)</td>
<td valign="top" align="center">68<break/>(2.2)</td>
<td valign="top" align="center">112<break/>(3.6)</td>
<td valign="top" align="center">2,078<break/>(67.5)</td>
</tr>
<tr>
<td valign="top" align="center" colspan="7">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fgwh-06-1654642-g006.tif"/>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><p>The table highlights a substantial rise in time devoted to childcare, cooking, and cleaning, confirming that women&#x0027;s unpaid domestic workload intensified markedly during the lockdown period.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>, the way women spent their time during the lockdown varied depending on the size of their households (<italic>F</italic>&#x2009;&#x003D;&#x2009;6.87, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001) and the different age groups of women (<italic>F</italic>&#x2009;&#x003D;&#x2009;7.937, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001), with post-doc results indicating distinctions across various age groups and household sizes (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<fig id="F5" position="float"><label>Figure&#x00A0;5</label>
<caption><p><bold>(a,b)</bold> assessment of women&#x0027;s time allocation across household responsibilities. Panel <bold>(a)</bold> shows variations by age cohort, indicating that older women spent proportionally more time on caregiving and domestic tasks, while panel <bold>(b)</bold> demonstrates that women in larger households faced heavier workloads. These findings confirm that both age and household composition significantly shaped the gendered distribution of unpaid labour during lockdowns.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-06-1654642-g005.tif"><alt-text content-type="machine-generated">Bar charts showing differences by age and household size in response frequency. Chart (a) illustrates varying response distribution across seven age groups, while chart (b) does the same for household sizes. Categories include levels of increase, decrease, uncertainty, and non-applicability. Each chart shows varied percentages across different response categories, indicating trends by demographic segments.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Results of tukey HSD <italic>post hoc</italic> tests comparing mean time allocation across seven household responsibilities.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="center">Level</th>
<th valign="top" align="center">-Level</th>
<th valign="top" align="center">Mean Diff.</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">Age</td>
<td valign="top" align="left" rowspan="4">60&#x002B;</td>
<td valign="top" align="center">18&#x2013;29</td>
<td valign="top" align="center">82.69</td>
<td valign="top" align="center">27.77</td>
<td valign="top" align="center">.000</td>
</tr>
<tr>
<td valign="top" align="center">30&#x2013;39</td>
<td valign="top" align="center">74.69</td>
<td valign="top" align="center">27.77</td>
<td valign="top" align="center">.001</td>
</tr>
<tr>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">85.88</td>
<td valign="top" align="center">27.77</td>
<td valign="top" align="center">.000</td>
</tr>
<tr>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.36</td>
<td valign="top" align="center">27.77</td>
<td valign="top" align="center">.000</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Household size</td>
<td valign="top" align="left" rowspan="2">3&#x2013;4</td>
<td valign="top" align="center">1&#x2013;2</td>
<td valign="top" align="center">90.96</td>
<td valign="top" align="center">23.35</td>
<td valign="top" align="center">.001</td>
</tr>
<tr>
<td valign="top" align="center">7&#x002B;</td>
<td valign="top" align="center">74.50</td>
<td valign="top" align="center">23.35</td>
<td valign="top" align="center">.009</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>The analysis identifies statistically significant pairwise differences, indicating that certain tasks, particularly childcare and meal preparation, required significantly greater time commitments than others during the lockdown.</p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T3">Table&#x00A0;3</xref> revealed a notable trend where women aged 60 and above spent significantly more time on all the household responsibilities listed in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> compared to women in other age categories. Similarly, a comparable trend was observed among women residing in households with 3 to 4 people.</p>
<p><xref ref-type="table" rid="T4">Table&#x00A0;4</xref> complements the findings in <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref> by summarising the statistical results for the association between each responsibility, age, and size of households, including significant <italic>post-hoc</italic> test results denoting specific age cohorts&#x2019; comparisons (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>). The results indicate significant variations in time allocation for responsibilities across different age cohorts and, to a certain extent, household sizes. Specifically, age is a significant factor for most responsibilities, while household size plays a role in some instances. For all the responsibilities (R1 to R6), age significantly influences time allocation as indicated by with significant <italic>p</italic>-values (for all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). However, for R7, age does not seem to play a significant role, with a higher <italic>p</italic>&#x2009;&#x003D;&#x2009;0.348. Additionally, the influence of household size is less consistent, showing significance in some cases (e.g., R1 and R2) but not in others.</p>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>Summary of ANOVA results examining time allocation to household responsibilities across age groups and household sizes, derived from household survey data.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Responsibility/activity</th>
<th valign="top" align="center">Dependent variable</th>
<th valign="top" align="center">Sum of Squares</th>
<th valign="top" align="center">df</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Food/mean planning and preparation (R1)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,853.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5.840</td>
<td valign="top" align="center">.003</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,851.7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.340</td>
<td valign="top" align="center">.048</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Household chores (R2)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,893.9</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4.712</td>
<td valign="top" align="center">.008</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,814.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.440</td>
<td valign="top" align="center">.104</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Baby and child minding (R3)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,853.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4.078</td>
<td valign="top" align="center">.014</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,851.7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.358</td>
<td valign="top" align="center">.293</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Home schooling and/or school homework (R4)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,985.0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.556</td>
<td valign="top" align="center">.024</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,851.7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.609</td>
<td valign="top" align="center">.229</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Tendering the sick (R5)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,853.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.917</td>
<td valign="top" align="center">.047</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,851.7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.163</td>
<td valign="top" align="center">.056</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Providing social and emotional support (R6)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,853.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4.790</td>
<td valign="top" align="center">.007</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,935.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.063</td>
<td valign="top" align="center">.060</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Work-related activities (R7)</td>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">32,853.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.183</td>
<td valign="top" align="center">.348</td>
</tr>
<tr>
<td valign="top" align="left">Household size</td>
<td valign="top" align="center">30,851.7</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.927</td>
<td valign="top" align="center">.067</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><p>The results show significant effects (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) of both age and household size, suggesting that older women and those in larger households carried heavier domestic and caregiving burdens.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float"><label>Table&#x00A0;5</label>
<caption><p>The results of <italic>post hoc</italic> test for multiple comparisons of responsibilities categorized by age, based on household survey data (only statistically significant differences are presented).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Dependent variable</th>
<th valign="top" align="center">Level</th>
<th valign="top" align="center">-Level</th>
<th valign="top" align="center">Mean Diff.</th>
<th valign="top" align="center">SE</th>
<th valign="top" align="center">Sig.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Food/mean planning and preparation (R1)</td>
<td valign="top" align="left">60&#x002B;</td>
<td valign="top" align="center">18&#x2013;29</td>
<td valign="top" align="center">82.67</td>
<td valign="top" align="center">21.65</td>
<td valign="top" align="center">.009</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">30&#x2013;39</td>
<td valign="top" align="center">74.67</td>
<td valign="top" align="center">21.65</td>
<td valign="top" align="center">.019</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">85.33</td>
<td valign="top" align="center">21.65</td>
<td valign="top" align="center">.006</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.33</td>
<td valign="top" align="center">21.65</td>
<td valign="top" align="center">.006</td>
</tr>
<tr>
<td valign="top" align="left">Household chores (R2)</td>
<td valign="top" align="left">60&#x002B;</td>
<td valign="top" align="center">18&#x2013;29</td>
<td valign="top" align="center">82.67</td>
<td valign="top" align="center">24.12</td>
<td valign="top" align="center">.016</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">30&#x2013;39</td>
<td valign="top" align="center">74.67</td>
<td valign="top" align="center">24.12</td>
<td valign="top" align="center">.040</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">86.0</td>
<td valign="top" align="center">24.12</td>
<td valign="top" align="center">.015</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.33</td>
<td valign="top" align="center">24.12</td>
<td valign="top" align="center">.016</td>
</tr>
<tr>
<td valign="top" align="left">Baby and child minding (R3)</td>
<td valign="top" align="left">60&#x002B;</td>
<td valign="top" align="center">18&#x2013;29</td>
<td valign="top" align="center">82.67</td>
<td valign="top" align="center">25.91</td>
<td valign="top" align="center">.033</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">30&#x2013;39</td>
<td valign="top" align="center">74.67</td>
<td valign="top" align="center">25.91</td>
<td valign="top" align="center">.063</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">85.83</td>
<td valign="top" align="center">25.91</td>
<td valign="top" align="center">.026</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.33</td>
<td valign="top" align="center">25.91</td>
<td valign="top" align="center">.027</td>
</tr>
<tr>
<td valign="top" align="left">Home schooling and/or school homework (R4)</td>
<td valign="top" align="left">60&#x002B;</td>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">86.00</td>
<td valign="top" align="center">27.80</td>
<td valign="top" align="center">.041</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.5</td>
<td valign="top" align="center">27.80</td>
<td valign="top" align="center">.042</td>
</tr>
<tr>
<td valign="top" align="left">Providing social and emotional support (R6)</td>
<td valign="top" align="left">60&#x002B;</td>
<td valign="top" align="center">18&#x2013;29</td>
<td valign="top" align="center">82.67</td>
<td valign="top" align="center">23.89</td>
<td valign="top" align="center">.019</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">30&#x2013;39</td>
<td valign="top" align="center">74.67</td>
<td valign="top" align="center">23.89</td>
<td valign="top" align="center">.038</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">40&#x2013;49</td>
<td valign="top" align="center">85.83</td>
<td valign="top" align="center">23.89</td>
<td valign="top" align="center">.014</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">50&#x2013;59</td>
<td valign="top" align="center">85.33</td>
<td valign="top" align="center">23.89</td>
<td valign="top" align="center">.015</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF5"><p>The results indicate that older women spent significantly more time on caregiving and household chores than younger cohorts, underscoring the influence of life stage on gendered divisions of labour during the lockdown.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To improve statistical transparency, 95&#x0025; confidence intervals (CIs) were calculated for key proportions and mean differences reported in the survey data. For example, the estimated increase in school dropouts among girls (18.5&#x0025;) had a 95&#x0025; CI of [17.2&#x2013;19.8], while the proportion of respondents reporting COVID-19&#x2013;related teenage pregnancies (approximately 25&#x0025;) had a 95&#x0025; CI of [22.9&#x2013;27.1]. In addition, effect sizes were computed for the ANOVA tests to quantify the magnitude of associations observed between age, household size, and time allocation across household responsibilities. Partial eta-squared (<italic>&#x03B7;</italic><sup>2</sup>) values ranged from 0.03 to 0.06, indicating small to moderate effects according to Cohen&#x0027;s (<xref ref-type="bibr" rid="B50">50</xref>) criteria.</p>
<p>The <italic>post hoc</italic> Test did not reveal any significant differences between household sizes and all the responsibilities. However as indicated in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>, significant differences in mean values were observed across various age groups, indicating variations in time allocation for these responsibilities. Notably, the age group 60&#x2009;&#x002B;&#x2009;consistently showed higher mean differences when compared to younger age categories (18&#x2013;29, 30&#x2013;39, 40&#x2013;49, 50&#x2013;59) in these responsibilities, highlighting the influence of age on time spent. However, no statistical differences were found among the age groups for responsibilities R5 and R7.</p>
</sec>
</sec>
<sec id="s5"><label>5</label><title>Discussions</title>
<p>Findings from the survey show that the COVID-19 lockdown period was associated with changes in women&#x0027;s daily responsibilities, highlighting longstanding gender disparities in unpaid care and domestic work. The first edition of the South Africa COVID-19 Country Report (2021) highlights the significant gendered impact of the pandemic, with the term women appearing over 400 times and girl(s) 21 times (<xref ref-type="bibr" rid="B28">28</xref>). An entire chapter is dedicated to gender equality issues arising from the pandemic, revealing a disturbing trend of increased burden and trauma for girls. The report points to a higher incidence of COVID-19 infections and hospitalisations among girls aged 15&#x2013;18, potentially linked to their disproportionate involvement in care responsibilities at home.</p>
<p>Our study found marked increases in women&#x0027;s time spent on household chores, meal preparation, childcare, and homeschooling during lockdown. In contrast, caring for the sick and engaging in work-related activities did not show similar increases. Age-specific analysis revealed that women aged 60 and above consistently spent more time on household duties, emphasizing the need for age-responsive policies that account for the differing capacities and roles of women across the life course. Additionally, time allocation varied with household size, highlighting the importance of context-sensitive approaches in policy design. Comparable findings have been reported elsewhere. For example, Chauhan (<xref ref-type="bibr" rid="B10">10</xref>) observed a stark gender divide in unpaid domestic work in India, with no men represented in the highest time-use categories. Approximately 5&#x0025; of women spent 22&#x2013;28&#x2005;h per week on household chores (compares to 0&#x0025; of men), 12.3&#x0025; spent 29&#x2013;49&#x2005;h (vs. 2.3&#x0025; of men), and nearly 9&#x0025; of women reported spending over 50&#x2005;h per week, a time commitment not reported by any male participant. These patterns were echoed in other countries: Hj&#x00E1;lmsd&#x00F3;ttir and Bjarnad&#x00F3;ttir (<xref ref-type="bibr" rid="B32">32</xref>) describe how Icelandic women bore the brunt of social and emotional labour during the pandemic, while Rania et al. (<xref ref-type="bibr" rid="B33">33</xref>) observed in Italy how women, particularly mothers, shouldered the burden of reconfiguring shared living spaces and maintaining emotional support in quarantine scenarios. This emotional labour was often unreciprocated, even as women themselves required support, as Philpot et al. (<xref ref-type="bibr" rid="B34">34</xref>) documented in the United States.</p>
<p>In Limpopo province, meal planning and preparation were ranked second among women&#x0027;s increased responsibilities during lockdowns. Snuggs and McGregor (<xref ref-type="bibr" rid="B35">35</xref>) in a UK-based study, found that lockdowns impacted food choices and availability, requiring considerable time investment in logistics. Participants placed increased importance on health, weight control, and mood when selecting food, far above considerations like familiarity. Childcare and baby minding responsibilities also fell heavily on women. While Fodor et al. (<xref ref-type="bibr" rid="B36">36</xref>) found in Hungary that men increased their childcare contributions by 35 his was proportionally less impactful, as women already bore the majority of childcare responsibilities before the pandemic. In absolute terms, women&#x0027;s increased unpaid care work far outpaced men&#x0027;s, particularly among educated, middle-class urban women. The National Department of Planning, Monitoring and Evaluation (<xref ref-type="bibr" rid="B28">28</xref>) also reported that despite lockdowns providing more time for men to be with their children, caregiving remained primarily a female duty.</p>
<p>Homeschooling introduced another layer of stress, especially for women. With schools closed and online platforms unfamiliar to many, women often in dual roles as breadwinners and caregivers were overwhelmed. This is particularly relevant for the present study, where 60.85&#x0025; of respondents came from female-headed households. Similar challenges were reported in Poland (<xref ref-type="bibr" rid="B37">37</xref>), where parents, particularly mothers, felt unequipped to homeschool and experienced heightened anxiety about their children&#x0027;s futures. In some cases, homeschooling led to work-family conflicts, with increased homeschooling hours among women correlating with higher alcohol consumption among couples.</p>
<p>The issue of unwanted pregnancies also warrants attention. Although approximately 75&#x0025; of respondents reported no incidents, the associations observed with extended lockdown periods, idle time, and limited access to family-planning supplies indicate areas requiring policy attention. Our study indicates that 38.5&#x0025; of teachers reported observing learner pregnancies during the pandemic period. In Gauteng, the number of births among girls under 18 rose by 60&#x0025; between April 2020 and March 2021, with more than 23,000 girls under 18 years, 934 of them under 14 years giving birth (<xref ref-type="bibr" rid="B38">38</xref>). Barron et al. (<xref ref-type="bibr" rid="B39">39</xref>) similarly found that rural provinces such as Limpopo, Mpumalanga, and Eastern Cape experienced higher rates of teenage pregnancy than more urban areas. This trend is consistent with findings from Ghana, where Mohammed (<xref ref-type="bibr" rid="B40">40</xref>) noted increases in child marriage linked to poverty and school closures. Some girls expressed a desire to marry, citing household chores as overwhelming. Phukula et al. (<xref ref-type="bibr" rid="B41">41</xref>) confirmed that such patterns were not isolated, with similar trends emerging in Botswana and other parts of the world.</p>
<p>An increase in reported orphanhood (39.4&#x0025; of teachers noting high to very high growth during the pandemic) indicate the need for strengthened social welfare responses. Policymakers should focus on aiding families facing this situation, ensuring the well-being and support of orphaned children (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Another concerning issue is the reported increase in school dropouts, particularly among girls, poses challenges to achieving Sustainable Development Goals 4 and 5. SDG 4 aims to ensure inclusive and equitable quality education and lifelong learning opportunities for all, with Target 4.1 seeking full completion of primary and secondary education by 2030 [ (<xref ref-type="bibr" rid="B3">3</xref>): 14]. School dropouts often went hand-in-hand with child marriage and its associated consequences (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>Access to clean water also emerged as a critical issue. Respondents&#x2019; reports of unreliable water sources highlight constraints that may have limited households&#x2019; ability to comply fully with WASH (Water, Sanitation and Hygiene) -related COVID-19 prevention measures (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). Despite global emphasis on hygiene, many informal settlements in the global South lacked adequate WASH infrastructure. Howard et al. (<xref ref-type="bibr" rid="B46">46</xref>) noted that hygiene became central in the pandemic response, but billions lacked piped water access. Mieth et al. (<xref ref-type="bibr" rid="B47">47</xref>) documented the behavioural shift to frequent handwashing, corroborated by Lin et al. (<xref ref-type="bibr" rid="B51">51</xref>) who found that online searches for &#x201C;wash hands&#x201D; were associated with slower spread of the virus, unlike &#x201C;face mask,&#x201D; which showed no such correlation. In South Africa, the National Department of Planning, Monitoring and Evaluation [ (<xref ref-type="bibr" rid="B28">28</xref>): 304] acknowledged that WASH challenges existed even before COVID-19 but were greatly exacerbated by the pandemic. In 2019, about 12&#x0025; of the population lacked access to a basic water supply, and 21.3&#x0025; had no access to basic sanitation. These figures likely underrepresent the challenges in rural provinces like Limpopo. Media footage during the pandemic often showed women and girls as the primary collectors of water from tanks and delivery tankers, highlighting how the pandemic period represented a dual challenge for the girl child, that was marked both by heightened health risks and by widening gender inequalities.</p>
<sec id="s5a"><label>5.1</label><title>Limitations of the study</title>
<p>Although a census sampling approach was used to include all accessible households and schools within the selected wards, the findings cannot be generalized to the entire Limpopo Province. The sample reflects local community characteristics rather than those of all municipalities, and some non-response bias may have occurred despite mitigation through repeated visits and local enumerators. As the study relied on self-reported data, responses may be influenced by recall or social desirability bias. Contextual differences in service delivery and socio-economic conditions may also have affected results. Finally, the cross-sectional design captures a specific phase of the COVID-19 lockdown, limiting temporal comparisons. The findings should therefore be viewed as indicative of trends within the sampled areas, and future studies should use larger, representative samples to enhance external validity.</p>
</sec>
</sec>
<sec id="s6" sec-type="conclusions"><label>6</label><title>Conclusions</title>
<p>Our investigation into potential pressure points affecting women&#x0027;s roles and responsibilities at the household level amidst the COVID-19 pandemic revealed critical concerns. The central focus on Water, Sanitation, and Hygiene (WASH) highlighted a reliance on community tap water supplied by the municipality, although a notable proportion faced challenges with unreliable water sources. The impact on the girl child was pronounced, with varying opinions on whether women and girls disproportionately bore the pandemic&#x0027;s burdens, manifested in disruptions to education, reported school dropouts, and concerns about unwanted pregnancies. Living with individuals with comorbidities posed challenges, accentuated by the heightened risk of severe outcomes, while the increase in orphans within households added complexity. Survey results revealed significant shifts in women&#x0027;s time allocation during the pandemic period, particularly for those aged 60 and above, emphasizing the influential role of age in shaping household responsibilities. Addressing these multifaceted issues is imperative for informed policy interventions that support the resilience and well-being of women and vulnerable populations during health crises. The findings suggest that the pandemic period may have slowed progress toward achieving the 2030 Agenda for Sustainable Development and the 17 SDGs. Specific SDGs to note include SDG 3 (Health and Wellbeing), SDG 4 (Quality Education), and SDG 5 (Gender Equality).</p>
<p>These findings hold crucial policy implications. Ensuring reliable and accessible WASH services is imperative for household resilience during health crises. Addressing the vulnerability of the girl child in education and health services requires targeted interventions. Additionally, the high incidence of learner pregnancies in schools emphasizes the need for comprehensive sexual education programs. Efforts to maintain access to family planning resources should be prioritized to mitigate unintended pregnancies. Support systems for households with comorbidities and orphans are essential. Policies should strengthen WASH infrastructure, sustain education continuity, and ensure access to reproductive health services. Social and emotional support systems need enhancement, especially for households dealing with comorbidities and orphans. Additionally, age-sensitive policies should be devised, recognizing the unique challenges faced by older women.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Limpopo Provincial Research Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s9" sec-type="author-contributions"><title>Author contributions</title>
<p>GN: Methodology, Conceptualization, Supervision, Funding acquisition, Investigation, Project administration, Writing &#x2013; original draft. MM: Methodology, Investigation, Visualization, Conceptualization, Formal analysis, Writing &#x2013; original draft, Data curation.</p>
</sec>
<sec id="s11" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>AN</given-names></name> <name><surname>Ryan</surname> <given-names>MK</given-names></name> <name><surname>Ryan</surname> <given-names>MK</given-names></name></person-group>. <article-title>Gender inequalities during COVID-19</article-title>. <source>Group Process Intergroup Relat</source>. (<year>2021</year>) <volume>24</volume>(<issue>2</issue>):<fpage>237</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1177/1368430220984248</pub-id></mixed-citation></ref>
<ref id="B2"><label>2.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fluks</surname> <given-names>L</given-names></name> <name><surname>Groenewald</surname> <given-names>C</given-names></name> <name><surname>Qoza</surname> <given-names>P</given-names></name> <name><surname>Isaacs</surname> <given-names>N</given-names></name> <name><surname>Essop</surname> <given-names>R</given-names></name> <name><surname>Couch</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Policymaking in favour of women: learning from the gendered impact of COVID-19, with a focus on South Africa</article-title>. <source>Soc Work Maatskaplike Werk</source>. (<year>2024</year>) <volume>60</volume>(<issue>3</issue>):<fpage>62</fpage>&#x2013;<lpage>644</lpage>. <pub-id pub-id-type="doi">10.15270/60-3-1350</pub-id></mixed-citation></ref>
<ref id="B3"><label>3.</label><mixed-citation publication-type="book"><collab>United Nations</collab>. <source>Transforming Our World: 2030 Agenda for Sustainable Development</source>. <publisher-loc>New York</publisher-loc>: <publisher-name>United Nations Secretariat</publisher-name> (<year>2015</year>).</mixed-citation></ref>
<ref id="B4"><label>4.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Iwara</surname> <given-names>O</given-names></name> <name><surname>Musvipwa</surname> <given-names>F</given-names></name> <name><surname>Amaechi</surname> <given-names>EK</given-names></name> <name><surname>Raselekoane</surname> <given-names>R</given-names></name></person-group>. <article-title>COVID-19 lock-down socio-economic challenges faced by households in rural areas: a perspective from vhembe district, South Africa</article-title>. <source>Sociol Rev</source>. (<year>2020</year>) <volume>54</volume>(<issue>3</issue>):<fpage>761</fpage>&#x2013;<lpage>98</lpage>. <pub-id pub-id-type="doi">10.5937/SOCPREG54-27482</pub-id></mixed-citation></ref>
<ref id="B5"><label>5.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mudau</surname> <given-names>AG</given-names></name> <name><surname>Manganye</surname> <given-names>BS</given-names></name> <name><surname>Tshivhase</surname> <given-names>S</given-names></name> <name><surname>Mashau</surname> <given-names>NS</given-names></name> <name><surname>Tshitangano</surname> <given-names>TG</given-names></name> <name><surname>Mbhatsani</surname> <given-names>HV</given-names></name><etal/></person-group> <article-title>Effects of COVID-19 lockdown restrictions among community members of vhembe district in Limpopo province</article-title>. <source>Adv Soc Sci</source>. (<year>2024</year>) <volume>13</volume>(<issue>7</issue>):<fpage>333</fpage>. <pub-id pub-id-type="doi">10.3390/socsci13070333</pub-id></mixed-citation></ref>
<ref id="B6"><label>6.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nhamo</surname> <given-names>G</given-names></name> <name><surname>Chapungu</surname> <given-names>L</given-names></name></person-group>. <article-title>Impacts of COVID-19 on SDGs implementation and service delivery in South Africa</article-title>. <source>Front Sustain</source>. (<year>2024</year>) <volume>5</volume>:<fpage>1477474</fpage>. <pub-id pub-id-type="doi">10.3389/frsus.2024.1477474</pub-id></mixed-citation></ref>
<ref id="B7"><label>7.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Duby</surname> <given-names>Z</given-names></name> <name><surname>Bunce</surname> <given-names>B</given-names></name> <name><surname>Fowler</surname> <given-names>C</given-names></name> <name><surname>Van Den Bergh</surname> <given-names>K</given-names></name> <name><surname>Jonas</surname> <given-names>K</given-names></name> <name><surname>Dietrich</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Intersections between COVID-19 and socio-economic mental health stressors in the lives of South African adolescent girls and young women</article-title>. <source>Child Adolesc Psychiatry Ment Health</source>. (<year>2022</year>) <volume>16</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1186/s13034-022-00457-y</pub-id><pub-id pub-id-type="pmid">34998401</pub-id></mixed-citation></ref>
<ref id="B8"><label>8.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fisseha</surname> <given-names>S</given-names></name> <name><surname>Sen</surname> <given-names>G</given-names></name> <name><surname>Ghebreyesus</surname> <given-names>TA</given-names></name> <name><surname>Byanyima</surname> <given-names>W</given-names></name> <name><surname>Diniz</surname> <given-names>D</given-names></name> <name><surname>Fore</surname> <given-names>HH</given-names></name><etal/></person-group> <article-title>COVID-19: the turning point for gender equality</article-title>. <source>Lancet</source>. (<year>2021</year>) <volume>398</volume>(<issue>10299</issue>):<fpage>471</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(21)01651-2</pub-id><pub-id pub-id-type="pmid">34280381</pub-id></mixed-citation></ref>
<ref id="B9"><label>9.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ronnie</surname> <given-names>L</given-names></name> <name><surname>du Plessis</surname> <given-names>M</given-names></name> <name><surname>Walters</surname> <given-names>C</given-names></name></person-group>. <article-title>Women academics and the changing psychological contract during COVID-19 lockdown</article-title>. <source>Front Psychol</source>. (<year>2022</year>) <volume>13</volume>:<fpage>940953</fpage>. <pub-id pub-id-type="doi">10.3389/fpsyg.2022.940953</pub-id><pub-id pub-id-type="pmid">36033053</pub-id></mixed-citation></ref>
<ref id="B10"><label>10.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chauhan</surname> <given-names>P</given-names></name></person-group>. <article-title>I have no room of my own&#x201D;: cOVID-19 pandemic and work-from-home through a gender Lens</article-title>. <source>Gender Iss</source>. (<year>2021</year>) <volume>39</volume>:<fpage>507</fpage>&#x2013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.1007/s12147-022-09302-0</pub-id></mixed-citation></ref>
<ref id="B11"><label>11.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schnettler</surname> <given-names>B</given-names></name> <name><surname>Orellana</surname> <given-names>L</given-names></name> <name><surname>Miranda-Zapata</surname> <given-names>E</given-names></name> <name><surname>Teunissen</surname> <given-names>L</given-names></name> <name><surname>Cuykx</surname> <given-names>I</given-names></name> <name><surname>Decorte</surname> <given-names>P</given-names></name><etal/></person-group> <article-title>Food purchasing and preparation patterns by gender during the COVID-19 lockdown in Chilean workers</article-title>. <source>Rev Mex Trastor Aliment Mex J Eat Disord</source>. (<year>2023</year>) <volume>13</volume>(<issue>2</issue>):<fpage>156</fpage>&#x2013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.22201/fesi.20071523e.2023.2.767</pub-id></mixed-citation></ref>
<ref id="B12"><label>12.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>R</given-names></name> <name><surname>Gan</surname> <given-names>S</given-names></name></person-group>. <article-title>Childcare facility closure and exacerbated gender inequality in parenting time during the COVID-19 pandemic</article-title>. <source>Sociology</source>. (<year>2024</year>) <volume>58</volume>(<issue>4</issue>):<fpage>1</fpage>&#x2013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1177/00380385231224433</pub-id></mixed-citation></ref>
<ref id="B13"><label>13.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Coyle</surname> <given-names>EF</given-names></name> <name><surname>Fulcher</surname> <given-names>M</given-names></name> <name><surname>Barker</surname> <given-names>K</given-names></name> <name><surname>Fredrickson</surname> <given-names>CN</given-names></name></person-group>. <article-title>Families in quarantine: COVID-19 pandemic effects on the work and home lives of women and their daughters</article-title>. <source>J Soc Issues</source>. (<year>2023</year>) <volume>79</volume>:<fpage>971</fpage>&#x2013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1111/josi.12589</pub-id></mixed-citation></ref>
<ref id="B14"><label>14.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>T</given-names></name></person-group>. <article-title>Housework reallocation between genders and generations during China&#x2019;s COVID-19 lockdowns: patterns &#x0026; reasons</article-title>. <source>Soc Sci</source>. (<year>2024</year>) <volume>13</volume>:<fpage>58</fpage>. <pub-id pub-id-type="doi">10.3390/socsci13010058</pub-id></mixed-citation></ref>
<ref id="B15"><label>15.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kopylova</surname> <given-names>N</given-names></name> <name><surname>Greyling</surname> <given-names>T</given-names></name> <name><surname>Rossouw</surname> <given-names>S</given-names></name></person-group>. <article-title>Women&#x2019;s mental health during COVID-19 in South Africa</article-title>. <source>Appl Res Qual Life</source>. (<year>2024</year>) <volume>19</volume>(<issue>3</issue>):<fpage>959</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1007/s11482-024-10276-2</pub-id></mixed-citation></ref>
<ref id="B16"><label>16.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Christie</surname> <given-names>H</given-names></name> <name><surname>Hiscox</surname> <given-names>LV</given-names></name> <name><surname>Halligan</surname> <given-names>SL</given-names></name> <name><surname>Creswell</surname> <given-names>C</given-names></name></person-group>. <article-title>Examining harmful impacts of the COVID-19 pandemic and school closures on parents and carers in the United Kingdom: a rapid review</article-title>. <source>JCPP Advances</source>. (<year>2022</year>) <volume>2</volume>(<issue>3</issue>):<fpage>1</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1002/jcv2.12095</pub-id></mixed-citation></ref>
<ref id="B17"><label>17.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wolfson</surname> <given-names>JA</given-names></name> <name><surname>Garcia</surname> <given-names>T</given-names></name> <name><surname>Leung</surname> <given-names>CW</given-names></name></person-group>. <article-title>Food insecurity is associated with depression, anxiety, and stress: evidence from the early days of the COVID-19 pandemic in the United States</article-title>. <source>Health Equity</source>. (<year>2021</year>) <volume>5</volume>(<issue>1</issue>):<fpage>64</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1089/heq.2020.0059</pub-id><pub-id pub-id-type="pmid">33681691</pub-id></mixed-citation></ref>
<ref id="B18"><label>18.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Al Hussaini</surname> <given-names>M</given-names></name> <name><surname>Kausar</surname> <given-names>S</given-names></name> <name><surname>Shah</surname> <given-names>MTUH</given-names></name> <name><surname>Munawar</surname> <given-names>N</given-names></name></person-group>. <article-title>Impact of social isolation on anxiety and depression post COVID-19 pandemic: challenges and solutions</article-title>. <source>J Public Health Sci</source>. (<year>2024</year>) <volume>3</volume>(<issue>02</issue>):<fpage>99</fpage>&#x2013;<lpage>110</lpage>. <pub-id pub-id-type="doi">10.56741/jphs.v3i02.660</pub-id></mixed-citation></ref>
<ref id="B19"><label>19.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Haney</surname> <given-names>TJ</given-names></name> <name><surname>Barber</surname> <given-names>K</given-names></name></person-group>. <article-title>The extreme gendering of COVID&#x2212;19: household tasks and division of labour satisfaction during the pandemic</article-title>. <source>Can Rev Sociol</source>. (<year>2022</year>) <volume>59</volume>:<fpage>26</fpage>&#x2013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.1111/cars.12391</pub-id><pub-id pub-id-type="pmid">35946961</pub-id></mixed-citation></ref>
<ref id="B20"><label>20.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nhamo</surname> <given-names>G</given-names></name> <name><surname>Sibanda</surname> <given-names>M</given-names></name></person-group>. <article-title>Forty days of regulatory emergency use authorisation of COVID-19 vaccines: interfacing efficacy, hesitancy and SDG target 3.8</article-title>. <source>Glob Public Health</source>. (<year>2021</year>) <volume>16:10</volume>:<fpage>1537</fpage>&#x2013;<lpage>58</lpage>. <pub-id pub-id-type="doi">10.1080/17441692.2021.1938170</pub-id></mixed-citation></ref>
<ref id="B21"><label>21.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mitana</surname> <given-names>JMV</given-names></name> <name><surname>Wendo</surname> <given-names>JM</given-names></name></person-group>. <article-title>Understanding and supporting social and emotional learning skills for adolescent girls during and after COVID-19 pandemic in Uganda east</article-title>. <source>Afr J Educ Stud</source>. (<year>2024</year>) <volume>7</volume>(<issue>1</issue>):<fpage>128</fpage>&#x2013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.37284/eajes.7.1.1731</pub-id></mixed-citation></ref>
<ref id="B22"><label>22.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Musa</surname> <given-names>SS</given-names></name> <name><surname>Odey</surname> <given-names>GO</given-names></name> <name><surname>Musa</surname> <given-names>MK</given-names></name> <name><surname>Alhaj</surname> <given-names>SM</given-names></name> <name><surname>Sunday</surname> <given-names>BA</given-names></name> <name><surname>Muhammad</surname> <given-names>SM</given-names></name><etal/></person-group> <article-title>Early marriage and teenage pregnancy: the unspoken consequences of COVID-19 pandemic in Nigeria</article-title>. <source>Public Health Pract (Oxf)</source>. (<year>2021</year>) <volume>2</volume>:<fpage>100152</fpage>. <pub-id pub-id-type="doi">10.1016/j.puhip.2021.100152</pub-id><pub-id pub-id-type="pmid">34494012</pub-id></mixed-citation></ref>
<ref id="B23"><label>23.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Power</surname> <given-names>K</given-names></name></person-group>. <article-title>The COVID-19 pandemic has increased the care burden of women and families</article-title>. <source>Sustain Sci Pract Pol</source>. (<year>2020</year>) <volume>16</volume>(<issue>1</issue>):<fpage>67</fpage>&#x2013;<lpage>73</lpage>. <pub-id pub-id-type="doi">10.1080/15487733.2020.1776561</pub-id></mixed-citation></ref>
<ref id="B24"><label>24.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ucar</surname> <given-names>I</given-names></name> <name><surname>Torre</surname> <given-names>M</given-names></name> <name><surname>Elias</surname> <given-names>A</given-names></name></person-group>. <article-title>Mind the gender gap: cOVID-19 lockdown effects on gender differences in preprint submissions</article-title>. <source>PLoS One</source>. (<year>2022</year>) <volume>17</volume>(<issue>3</issue>):<fpage>e0264265</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0264265</pub-id><pub-id pub-id-type="pmid">35333874</pub-id></mixed-citation></ref>
<ref id="B25"><label>25.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>De Jong</surname> <given-names>PF</given-names></name> <name><surname>Schreurs</surname> <given-names>BGM</given-names></name> <name><surname>Zee</surname> <given-names>M</given-names></name></person-group>. <article-title>Parent&#x2013;child conflict during homeschooling in times of the COVID-19 pandemic: a key role for mothers&#x2019; self-efficacy in teaching</article-title>. <source>Contemp Educ Psychol</source>. (<year>2022</year>) <volume>70</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.cedpsych.2022.102083</pub-id></mixed-citation></ref>
<ref id="B26"><label>26.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Paramita</surname> <given-names>W</given-names></name> <name><surname>Rostiami</surname> <given-names>R</given-names></name> <name><surname>Winahjoe</surname> <given-names>S</given-names></name> <name><surname>Wibowo</surname> <given-names>A</given-names></name> <name><surname>Virgosita</surname> <given-names>R</given-names></name> <name><surname>Audita</surname> <given-names>H</given-names></name></person-group>. <article-title>Explaining the voluntary compliance to COVID-19 measures: an extrapolation on the gender perspective</article-title>. <source>Glob J Flex Syst Manag</source>. (<year>2021</year>) <volume>22</volume>(<issue>1</issue>):<fpage>S1</fpage>&#x2013;<lpage>S18</lpage>. <pub-id pub-id-type="doi">10.1007/s40171-021-00261-1</pub-id></mixed-citation></ref>
<ref id="B27"><label>27.</label><mixed-citation publication-type="other"><collab>UNICEF</collab>. <comment>COVID-19 Rapid Assessment. UNICEF Argentina, Social Inclusion and Monitoring Area</comment> (<year>2020</year>).</mixed-citation></ref>
<ref id="B28"><label>28.</label><mixed-citation publication-type="book"><collab>National Department of Planning, Monitoring and Evaluation</collab>. <source>South Africa COVID-19 Country Reports &#x2013; First Edition June 2021</source>. <publisher-loc>Pretoria</publisher-loc>: <publisher-name>National Department of Planning, Monitoring and Evaluation</publisher-name> (<year>2021</year>).</mixed-citation></ref>
<ref id="B29"><label>29.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Czepiel</surname> <given-names>D</given-names></name> <name><surname>McCormack</surname> <given-names>C</given-names></name> <name><surname>Correia da Silva</surname> <given-names>AT</given-names></name> <name><surname>&#x0160;eblov&#x00E1;</surname> <given-names>D</given-names></name> <name><surname>Moro</surname> <given-names>MF</given-names></name> <name><surname>Restrepo</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>Inequality on the frontline: a multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic</article-title>. <source>Glob Ment Health (Cambridge, England)</source>. (<year>2023</year>) <volume>11</volume>:<fpage>1</fpage>&#x2013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.21203/rs.3.rs-3173748/v1</pub-id></mixed-citation></ref>
<ref id="B30"><label>30.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Czepiel</surname> <given-names>D</given-names></name> <name><surname>McCormack</surname> <given-names>C</given-names></name> <name><surname>da Silva</surname> <given-names>ATC</given-names></name> <name><surname>Seblova</surname> <given-names>D</given-names></name> <name><surname>Moro</surname> <given-names>MF</given-names></name> <name><surname>Restrepo-Henao</surname> <given-names>A</given-names></name><etal/></person-group> <article-title>Inequality on the frontline: a multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic</article-title>. <source>Glob Ment Health</source>. (<year>2024</year>) <volume>11</volume>:<fpage>1</fpage>&#x2013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1017/gmh.2024.18</pub-id></mixed-citation></ref>
<ref id="B31"><label>31.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Djaharuddin</surname> <given-names>I</given-names></name> <name><surname>Munawwarah</surname> <given-names>S</given-names></name> <name><surname>Nurulita</surname> <given-names>A</given-names></name> <name><surname>Ilyas</surname> <given-names>M</given-names></name> <name><surname>Tabri</surname> <given-names>NM</given-names></name> <name><surname>Lihawa</surname> <given-names>N</given-names></name></person-group>. <article-title>Comorbidities and mortality in COVID-19 patients</article-title>. <source>Gaceta Sanitaria</source>. (<year>2021</year>) <volume>35</volume>(<issue>S2</issue>):<fpage>S530</fpage>&#x2013;<lpage>2</lpage>. <pub-id pub-id-type="doi">10.1016/j.gaceta.2021.10.085</pub-id><pub-id pub-id-type="pmid">34929892</pub-id></mixed-citation></ref>
<ref id="B32"><label>32.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hj&#x00E1;lmsd&#x00F3;ttir</surname> <given-names>A</given-names></name> <name><surname>Bjarnad&#x00F3;ttir</surname> <given-names>VS</given-names></name></person-group>. <article-title>I have turned into a foreman here at home&#x201D;: families and work&#x2013;life balance in times of COVID-19 in a gender equality paradise</article-title>. <source>Gender Work Organ</source>. (<year>2020</year>) <volume>28</volume>:<fpage>268</fpage>&#x2013;<lpage>83</lpage>. <pub-id pub-id-type="doi">10.1111/gwao.12552</pub-id></mixed-citation></ref>
<ref id="B33"><label>33.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rania</surname> <given-names>N</given-names></name> <name><surname>Coppola</surname> <given-names>I</given-names></name> <name><surname>Lagomarsino</surname> <given-names>F</given-names></name> <name><surname>Parisi</surname> <given-names>R</given-names></name></person-group>. <article-title>Family well-being during the COVID-19 lockdown in Italy: gender differences and solidarity networks of care</article-title>. <source>Child Fam Soc Work</source>. (<year>2022</year>) <volume>27</volume>:<fpage>1</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1111/cfs.12867</pub-id></mixed-citation></ref>
<ref id="B34"><label>34.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Philpot</surname> <given-names>LM</given-names></name> <name><surname>Ramar</surname> <given-names>P</given-names></name> <name><surname>Roellinger</surname> <given-names>DL</given-names></name> <name><surname>Barry</surname> <given-names>B</given-names></name> <name><surname>Sharma</surname> <given-names>P</given-names></name> <name><surname>Ebbert</surname> <given-names>JO</given-names></name></person-group>. <article-title>Changes in social relationships during an initial &#x201C;stay-at-home&#x201D; phase of the COVID-19 pandemic: a longitudinal survey study in the U.S</article-title>. <source>Soc Sci Med</source>. (<year>2021</year>) <volume>274</volume>:<fpage>1</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.socscimed.2021.113779</pub-id></mixed-citation></ref>
<ref id="B35"><label>35.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Snugs</surname> <given-names>S</given-names></name> <name><surname>McGregor</surname> <given-names>S</given-names></name></person-group>. <article-title>Food &#x0026; meal decision making in lockdown: how and who has COVID-19 affected?</article-title> <source>Food Qual Prefer</source>. (<year>2021</year>) <volume>89</volume>:<fpage>1</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1016/j.foodqual.2020.104145</pub-id></mixed-citation></ref>
<ref id="B36"><label>36.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fodor</surname> <given-names>E</given-names></name> <name><surname>Gregor</surname> <given-names>A</given-names></name> <name><surname>Koltai</surname> <given-names>J</given-names></name> <name><surname>Kov&#x00E1;ts</surname> <given-names>E</given-names></name></person-group>. <article-title>The impact of COVID-19 on the gender division of childcare work in Hungary</article-title>. <source>Eur Soc</source>. (<year>2021</year>) <volume>23</volume>(<issue>S1</issue>):<fpage>S95</fpage>&#x2013;<lpage>S110</lpage>. <pub-id pub-id-type="doi">10.1080/14616696.2020.1817522</pub-id></mixed-citation></ref>
<ref id="B37"><label>37.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Parczewska</surname> <given-names>T</given-names></name></person-group>. <article-title>Difficult situations and ways of coping with them in the experiences of parents homeschooling their children during the COVID-19 pandemic in Poland</article-title>. <source>Education 3-13</source>. (<year>2021</year>) <volume>49</volume>(<issue>7</issue>):<fpage>889</fpage>&#x2013;<lpage>900</lpage>. <pub-id pub-id-type="doi">10.1080/03004279.2020.1812689</pub-id></mixed-citation></ref>
<ref id="B38"><label>38.</label><mixed-citation publication-type="other"><collab>Reliefweb</collab>. <comment>Teen pregnancies in South Africa jump 60&#x0025; during COVID-19 pandemic. (2021). Available online at:</comment> <ext-link ext-link-type="uri" xlink:href="https://reliefweb.int/report/south-africa/teen-pregnancies-south-africa-jump-60-during-covid-19-pandemic#:~:text=Pretoria%2C%20South%20Africa%2C%2024%20August,of%20both%20mothers%20and%20babies">https://reliefweb.int/report/south-africa/teen-pregnancies-south-africa-jump-60-during-covid-19-pandemic&#x0023;:&#x223C;:text&#x003D;Pretoria&#x0025;2C&#x0025;20South&#x0025;20Africa&#x0025;2C&#x0025;2024&#x0025;20August,of&#x0025;20both&#x0025;20mothers&#x0025;20and&#x0025;20babies</ext-link> <comment>(Accessed February 3, 2024)</comment>.</mixed-citation></ref>
<ref id="B39"><label>39.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Barron</surname> <given-names>P</given-names></name> <name><surname>Subedar</surname> <given-names>H</given-names></name> <name><surname>Letsoko</surname> <given-names>M</given-names></name> <name><surname>MakuaI</surname> <given-names>M</given-names></name> <name><surname>Pillay</surname> <given-names>Y</given-names></name></person-group>. <article-title>Teenage births and pregnancies in South Africa, 2017&#x2013;2021&#x2013;a reflection of a troubled country: Analysis of public sector data</article-title>. <source>S Afr Med J</source>. (<year>2022</year>) <volume>112</volume>(<issue>4</issue>):<fpage>252</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.7196/samj.2022.v112i4.16327</pub-id><pub-id pub-id-type="pmid">35587803</pub-id></mixed-citation></ref>
<ref id="B40"><label>40.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mohammend</surname> <given-names>AR</given-names></name></person-group>. <article-title>Child marriage and education in the context of a global pandemic: exploring the gendered implications of COVID-inspired school closures in Ghana</article-title>. <source>Child Abus Rev.</source> (<year>2024</year>) <volume>33</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>12</lpage>. 2023<pub-id pub-id-type="doi">10.1002/car.2846</pub-id></mixed-citation></ref>
<ref id="B41"><label>41.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Phukula</surname> <given-names>MA</given-names></name> <name><surname>Maundeni</surname> <given-names>T</given-names></name> <name><surname>Lubinda</surname> <given-names>G</given-names></name></person-group>. <article-title>Teenage pregnancy in the ERA of COVID 19: insights from Botswana</article-title>. <source>Am J Sci Educ Res</source>. (<year>2024</year>) <volume>156</volume>:<fpage>1</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.47991/2835-6764/AJSER-156</pub-id></mixed-citation></ref>
<ref id="B42"><label>42.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schenk</surname> <given-names>KD</given-names></name></person-group>. <article-title>Community interventions providing care and support to orphans and vulnerable children: a review of evaluation evidence</article-title>. <source>AIDS care</source>. (<year>2009</year>) <volume>21</volume>(<issue>7</issue>):<fpage>918</fpage>&#x2013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1080/09540120802537831</pub-id><pub-id pub-id-type="pmid">20024749</pub-id></mixed-citation></ref>
<ref id="B43"><label>43.</label><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Bogenschneider</surname> <given-names>K</given-names></name></person-group>. <source>Family Policy Matters: How Policymaking Affects Families and What Professionals can do</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Routledge</publisher-name> (<year>2014</year>).</mixed-citation></ref>
<ref id="B44"><label>44.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Donde</surname> <given-names>OO</given-names></name> <name><surname>Atoni</surname> <given-names>E</given-names></name> <name><surname>Muia</surname> <given-names>AW</given-names></name> <name><surname>Yillia</surname> <given-names>PT</given-names></name></person-group>. <article-title>COVID-19 pandemic: water, sanitation and hygiene (WASH) as a critical control measure remains a major challenge in low-income countries</article-title>. <source>Water Res</source>. (<year>2021</year>) <volume>191</volume>:<fpage>116793</fpage>. <pub-id pub-id-type="doi">10.1016/j.watres.2020.116793</pub-id><pub-id pub-id-type="pmid">33388470</pub-id></mixed-citation></ref>
<ref id="B45"><label>45.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gin&#x00E9;-Garriga</surname> <given-names>R</given-names></name> <name><surname>Delepiere</surname> <given-names>A</given-names></name> <name><surname>Ward</surname> <given-names>R</given-names></name> <name><surname>Alvarez-Sala</surname> <given-names>J</given-names></name> <name><surname>Alvarez-Murillo</surname> <given-names>I</given-names></name> <name><surname>Mariezcurrena</surname> <given-names>V</given-names></name><etal/></person-group> <article-title>COVID-19 water, sanitation, and hygiene response: review of measures and initiatives adopted by governments, regulators, utilities, and other stakeholders in 84 countries</article-title>. <source>Sci Total Environ</source>. (<year>2021</year>) <volume>795</volume>:<fpage>148789</fpage>. <pub-id pub-id-type="doi">10.1016/j.scitotenv.2021.148789</pub-id></mixed-citation></ref>
<ref id="B46"><label>46.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Howard</surname> <given-names>G</given-names></name> <name><surname>Bartram</surname> <given-names>J</given-names></name> <name><surname>Brocklehurst</surname> <given-names>C</given-names></name> <name><surname>Colford</surname><given-names>JM</given-names><suffix>Jr</suffix></name> <name><surname>Costa</surname> <given-names>F</given-names></name> <name><surname>Cunliffe</surname> <given-names>D</given-names></name><etal/></person-group> <article-title>COVID-19: urgent actions, critical reflections and future relevance of &#x201C;WaSH&#x201D;: lessons for the current and future pandemics</article-title>. <source>J Water Health</source>. (<year>2020</year>) <volume>18</volume>(<issue>5</issue>):<fpage>613</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.2166/wh.2020.162</pub-id><pub-id pub-id-type="pmid">33095188</pub-id></mixed-citation></ref>
<ref id="B47"><label>47.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mieth</surname> <given-names>L</given-names></name> <name><surname>Mayer</surname> <given-names>MM</given-names></name> <name><surname>Hoffmann</surname> <given-names>A</given-names></name> <name><surname>Buchner</surname> <given-names>A</given-names></name> <name><surname>Bell</surname> <given-names>R</given-names></name></person-group>. <article-title>Do they really wash their hands? Prevalence estimates for personal hygiene behaviour during the COVID-19 pandemic based on indirect questions</article-title>. <source>BMC Public Health</source>. (<year>2021</year>) <volume>21</volume>(<issue>1</issue>):<fpage>12</fpage>. <pub-id pub-id-type="doi">10.1186/s12889-020-10109-5</pub-id><pub-id pub-id-type="pmid">33397344</pub-id></mixed-citation></ref>
<ref id="B48"><label>48.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rahiem</surname> <given-names>MDH</given-names></name></person-group>. <article-title>COVID-19 and the surge of child marriages: a phenomenon in nusa tenggara barat, Indonesia</article-title>. <source>Child Abuse Negl</source>. (<year>2021</year>) <volume>118</volume>:<fpage>1</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1016/j.chiabu.2021.105168</pub-id></mixed-citation></ref>
<ref id="B49"><label>49.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Walters</surname> <given-names>C</given-names></name> <name><surname>Mehl</surname> <given-names>GG</given-names></name> <name><surname>Piraino</surname> <given-names>P</given-names></name> <name><surname>Jansen</surname> <given-names>JD</given-names></name> <name><surname>Kriger</surname> <given-names>S</given-names></name></person-group>. <article-title>The impact of the pandemic-enforced lockdown on the scholarly productivity of women academics in South Africa</article-title>. <source>Res Policy</source>. (<year>2022</year>) <volume>51</volume>(<issue>1</issue>):<fpage>104403</fpage>. <pub-id pub-id-type="doi">10.1016/j.respol.2021.104403</pub-id><pub-id pub-id-type="pmid">36536632</pub-id></mixed-citation></ref>
<ref id="B50"><label>50.</label><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Cohen</surname> <given-names>J</given-names></name></person-group>. <source>Statistical Power Analysis for the Behavioral Sciences</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Routledge Academic</publisher-name> (<year>1988</year>).</mixed-citation></ref>
<ref id="B51"><label>51.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>YH</given-names></name> <name><surname>Liu</surname> <given-names>CH</given-names></name> <name><surname>Chiu</surname> <given-names>YC</given-names></name></person-group>. <article-title>Google searches for the keywords of &#x201C;wash hands&#x201D; predict the speed of national spread of COVID-19 outbreak among 21 countries</article-title>. <source>Brain Behav Immun</source>. (<year>2020</year>) <volume>87</volume>:<fpage>30</fpage>&#x2013;<lpage>2</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbi.2020.04.020</pub-id><pub-id pub-id-type="pmid">32283286</pub-id></mixed-citation></ref></ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1142254/overview">Satarupa Dasgupta</ext-link>, Ramapo College of New Jersey, United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1704552/overview">&#x00D6;mer Alkan</ext-link>, Atat&#x00FC;rk University, T&#x00FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2288373/overview">Orsolya Gergely</ext-link>, Sapientia Hungarian University of Transylvania, Romania</p></fn>
</fn-group>
<fn-group>
<fn id="n3"><p><sup>1</sup>The exchange rate averaged &#x0024;1&#x003D;ZAR 18.70 in January 2023.</p></fn>
</fn-group>
</back>
</article>