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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1484477</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>Factors associated with COVID-19 vaccine uptake and hesitancy among women of reproductive age in Mozambique</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Gilliss</surname> <given-names>Lauren</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Manhi&#x00E7;a</surname> <given-names>Cremildo</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Kuo</surname> <given-names>Helen</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Mulungo</surname> <given-names>Azarias</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Aveika</surname> <given-names>Akum</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Machava</surname> <given-names>Nordino</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Van Dyk</surname> <given-names>Fred</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Sacoor</surname> <given-names>Charfuddin</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Monjane</surname> <given-names>Celso</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Macicame</surname> <given-names>Ivalda</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Amouzou</surname> <given-names>Agbessi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Kant&#x00E9;</surname> <given-names>Almamy Malick</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Johns Hopkins Bloomberg School of Public Health</institution>, <city>Baltimore</city>, <state>MD</state>, <country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>JSI Research &#x0026; Training Institute, Inc.</institution>, <city>Arlington</city>, <state>VA</state>, <country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Instituto Nacional de Saude</institution>, <city>Maputo</city>, <country country="mz">Mozambique</country></aff>
<aff id="aff4"><label>4</label><institution>Centro de Investiga&#x00E7;&#x00E3;o em Saude de Manhi&#x00E7;a (CISM)</institution>, <city>Maputo</city>, <country country="mz">Mozambique</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Almamy Malick Kant&#x00E9;, <email xlink:href="mailto:akante1@jhu.edu">akante1@jhu.edu</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors share senior authorship</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-12">
<day>12</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1484477</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="rev-recd">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Gilliss, Manhi&#x00E7;a, Kuo, Mulungo, Aveika, Machava, Van Dyk, Sacoor, Monjane, Macicame, Amouzou and Kant&#x00E9;.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Gilliss, Manhi&#x00E7;a, Kuo, Mulungo, Aveika, Machava, Van Dyk, Sacoor, Monjane, Macicame, Amouzou and Kant&#x00E9;</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-12">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>
<sec>
<title>Objective</title>
<p>Vaccine hesitancy has become one of the biggest challenges in combating the COVID-19 pandemic globally. This paper aims to determine the factors associated with COVID-19 vaccination and hesitancy among women of reproductive age in Mozambique.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional mobile phone survey was conducted among women ages 15&#x2013;49 to test the use of mobile phone interviews to collect data on household deaths and other topics related to pregnancy, delivery care, women&#x2019;s empowerment, and COVID-19 vaccination. We calculated COVID-19 vaccination coverage rates, defined as women who received at least one dose of the COVID-19 vaccine, and described reasons for not taking the vaccine. Multivariate logistic regression was used to assess factors associated with COVID-19 vaccine uptake in the study population. All estimates were adjusted using post-adjustment weighting based on the raking approach to redress the sample to be nationally representative.</p>
</sec>
<sec>
<title>Results</title>
<p>The mobile phone survey response rate was estimated at 39.1% (<italic>n</italic>&#x202F;=&#x202F;13,235). The adjusted COVID-19 vaccination rate was estimated at 77.2% [95%CI: 74.9&#x2013;79.5] among women aged 15&#x2013;49. Among the unvaccinated women, about 11.9% were hesitant to take the COVID-19 vaccine if offered. The primary reasons reported for not taking the vaccine were the dislike of needles (17.1%), COVID-19 vaccine safety concerns (12.0%), COVID-19 vaccine effectiveness concerns (10.2%), and medical reasons (5.6%). We found a positive and significant association between COVID-19 vaccine acceptance and age group, education, marital status, province and place of residence, and women who used maternal health facility services. However, women empowerment factors were not significantly associated with increased COVID-19 vaccine acceptance.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our findings showed high rates of COVID-19 vaccination among women aged 15&#x2013;49 with social, economic, and residential inequalities. To increase COVID-19 vaccine coverage among women in Mozambique, more effort should be put into vaccinating younger women, uneducated women, and those delivering outside a health facility. More attention should also be given to factors related to vaccine acceptance and hesitancy in Mozambique.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>determinants of vaccine hesitancy</kwd>
<kwd>vaccine uptake</kwd>
<kwd>mobile phone surveys</kwd>
<kwd>Mozambique</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was made possible with financial support from the Bill and Melinda Gates Foundation (INV-023211). The funder had no role in study design, data collection, data analysis, data interpretation, or report writing.</funding-statement>
</funding-group>
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<word-count count="7450"/>
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<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
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</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>The coronavirus SARS-CoV-2 (COVID-19), has drastically impacted countries globally. Its spread and severity have been influenced by factors such as resource allocation, availability of tests, strength of existing health systems, effective risk communication, adherence to recommended preventive measures, and vaccine acceptance or hesitancy (<xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1&#x2013;4</xref>). Low-and middle-income countries (LMICs) have faced economic challenges, increased pressure on health systems and difficulties in securing and distributing COVID-19 vaccines (<xref ref-type="bibr" rid="ref5">5</xref>). As vaccination remains a critical strategy for reducing severe illness and death, and for controlling the pandemic, many studies have examined vaccine access and uptake across various populations (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref6 ref7 ref8 ref9 ref10">6&#x2013;10</xref>). However, it is essential to consider the country-specific context when analyzing the factors contributing to vaccine acceptance and hesitancy. In Mozambique, there is limited research on the predictors of the COVID-19 vaccination uptake and the factors influencing individuals&#x2019; willingness to be vaccinated.</p>
<p>Mozambique&#x2019;s first case of COVID-19 was confirmed on March 22, 2020, and the President of Mozambique declared a state of emergency in response to the pandemic on April 20, 2020 (<xref ref-type="bibr" rid="ref11">11</xref>). The situation escalated to a state of public calamity on September 7, 2020 (<xref ref-type="bibr" rid="ref11">11</xref>). The Government of Mozambique announced its vaccination strategy on March 5, 2021, which included a target of vaccinating 16.8 million Mozambicans (<xref ref-type="bibr" rid="ref11">11</xref>). As of June 2023, about 34.9 million doses of COVID-19 vaccines had been administered in Mozambique, with about 63% of the population being fully vaccinated. About 233,417 confirmed COVID-19 cases and 2,243 deaths due to COVID-19 had been reported in Mozambique (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Vaccine acceptance is commonly discussed throughout the literature relating to vaccine uptake (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref13 ref14 ref15 ref16">13&#x2013;16</xref>). Acceptance rates can vary based on trust in vaccines and the institutions administering them, and the spread of misinformation (<xref ref-type="bibr" rid="ref5">5</xref>). To reduce the public health burden of COVID-19, acceptance must be translated into uptake- a complex process influenced by factors such as access, health system capacity, and infrastructure (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Studies have documented a wide range of COVID-19 vaccine acceptance across and within sub-Saharan African countries, with low rate of 7% in a 2021 study in southeast Nigeria and high rate of 98% in a 2021 phone survey study in Ethiopia (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref17 ref18 ref19">17&#x2013;19</xref>). A 2021 narrative review further found vaccine acceptance rates ranging from 50% in Zimbabwe to 92% in Ethiopia (<xref ref-type="bibr" rid="ref18">18</xref>). Commonly reasons given for COVID-19 vaccine acceptance included personal and family protection against COVID-19 infection (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
<p>Vaccine hesitancy has emerged as a major global challenge in efforts to control the COVID-19 pandemic (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). The World Health Organization (WHO) defines vaccine hesitancy as a &#x201C;delay in acceptance or refusal of vaccination despite availability of vaccination services&#x201D; (<xref ref-type="bibr" rid="ref21">21</xref>). Individuals who are vaccine-hesitant may delay vaccination, accept some vaccines but not others, or refuse vaccines altogether (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Research consistently shows that women are more likely to be vaccine-hesitant than men (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref22 ref23 ref24 ref25">22&#x2013;25</xref>). Common reasons for COVID-19 vaccine hesitancy included concerns about the vaccine&#x2019;s novelty and safety, fear of potential side effects, and general vaccine avoidance (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). In sub-Saharan Africa, mistrust of authorities involved in COVID-19 vaccine development and distribution &#x2013; such as vaccine manufacturers and pharmaceutical companies- has also contributed to vaccine hesitancy (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>In Mozambique, a study conducted in March 2021, before the availability of COVID-19 vaccines, reported that 65% of the general population and 87% of healthcare workers surveyed expressed willingness to take the COVID-19 vaccine if it was available (<xref ref-type="bibr" rid="ref8">8</xref>). Another study, conducted in Mozambique between September 2020 and March 2021, reported fluctuations in vaccine acceptance over time, with acceptance significantly associated with levels of institutional trust (<xref ref-type="bibr" rid="ref26">26</xref>). Since then, the COVID-19 situation in Mozambique has evolved with vaccines becoming more widely available, which could affect perceived vaccine acceptability and factors related to uptake. Understanding these factors is critical to inform strategies to improve vaccine coverage and address gender-specific barriers. This study aims to determine the COVID-19 vaccine uptake, hesitancy, and associated factors among women of reproductive age in Mozambique.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<sec id="sec3">
<title>Study design</title>
<p>A cross-sectional mobile phone survey was conducted in Mozambique among women ages 15&#x2013;49 to test the use of mobile phone interviews to collect data on child and adult deaths and other topics related to pregnancy, delivery care, women&#x2019;s empowerment, and COVID-19 vaccination status (<xref ref-type="bibr" rid="ref27">27</xref>). The Rapid Mortality Mobile Phone Surveys (RaMMPS) project in Mozambique aimed to test rapid approaches for measuring population-based child mortality, maternal health coverage, and COVID-19 related statistics during a health crisis to understand its impact on decision-making related to seeking healthcare, while avoiding face-to-face interviews (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec4">
<title>Data collection</title>
<p>This study reports data collected by the RaMMPS study that used a subsample from an existing national sample registration system known as the Countrywide Mortality Surveillance for Action (COMSA) in Mozambique (<xref ref-type="bibr" rid="ref29">29</xref>). The COMSA study maintained a list of households that provided phone numbers. A province-stratified random sample of 48,271 households with phone numbers was selected for the survey to reach 15,000 women of reproductive age. The RaMMPS sample identified eligible women of reproductive age within the selected households. Data collectors were evaluated for proficiency in Portuguese and local languages. Selected candidates received ten days of training on protocols, ethics, best practices, and use of the Open Data Kit (ODK) (<xref ref-type="bibr" rid="ref30">30</xref>), including pilot testing. Thirty-two interviewers and four supervisors (89% women) were recruited. A call center was established to support interviewer&#x2013;respondent communication.</p>
<p>The RaMMPS adapted Demographic Health Survey (DHS) tools (<xref ref-type="bibr" rid="ref31">31</xref>), including a pregnancy history module to assess child mortality. Additional modules covered: (1) maternal health care seeking, including ANC, facility delivery and birth assistance questions, (2) women&#x2019;s empowerment, such as mobile phone ownership and use, and participation in family healthcare-related decision making; (3) household composition and deaths since January 2020, including identification of possible COVID-19 deaths using Vital Strategies and WHO tools (<xref ref-type="bibr" rid="ref32">32</xref>); and (4) COVID-19 vaccine acceptance and hesitancy using The World Bank tools (<xref ref-type="bibr" rid="ref33">33</xref>) and Quinn and colleagues measures (<xref ref-type="bibr" rid="ref34">34</xref>). The vaccine module captured the number and type (name of the product) of COVID-19 vaccine doses received, willingness to get vaccinated if available among unvaccinated respondents, and reasons for vaccine refusal.</p>
<p>Computer-assisted telephone interviews (CATI) were used, and the data collection was conducted between March&#x2013;July 2022; and 13,235 completed interviews with women aged of 15&#x2013;49 were included in the study (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
</sec>
<sec id="sec5">
<title>Data analysis</title>
<p>RaMMPS relied on mobile phone surveys limiting participation to individuals with mobile phones access. To address potential biases from phone ownership (coverage) and survey non-response (<xref ref-type="bibr" rid="ref35">35</xref>), we employed post-stratification techniques. The 2017 Mozambique Census population data (<xref ref-type="bibr" rid="ref36">36</xref>) was used to derive the distribution of women aged 15&#x2013;49 by age, education, province and place of residence, and household size, which was applied in the raking approach to adjust the final sampling weights (<xref ref-type="bibr" rid="ref37">37</xref>), using the STATA package &#x201C;<italic>svycal</italic>&#x201D; (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
<p>In this study, COVID-19 vaccine acceptance is defined as &#x201C;having received at least one dose of a COVID-19 vaccine and, if not, willingness to take the COVID-19 vaccine when it is available&#x201D; (<xref ref-type="bibr" rid="ref39">39</xref>). The dependent variable was whether a woman aged 15&#x2013;49 reported having received at least one dose of the COVID-19 vaccine. The proportion of unvaccinated women who reported that they would take the vaccine if it was available and offered to them was determined. Women who were unlikely, undecided, or definitely not planning to take the COVID-19 vaccine were asked to report the reasons for their hesitancy.</p>
<p>Descriptive statistics were presented as percentages. The proportion of vaccinated women was compared by demographic and residential characteristics using chi-square tests. We conducted logistic multivariate analyses to investigate factors associated with COVID-19 vaccination. We produced weighed estimates (percentages and odds ratios) with 95 percent confidence intervals (CI). All statistical analyses were conducted using STATA statistical package version 17 (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="sec7">
<title>Results</title>
<sec id="sec8">
<title>Participants&#x2019; characteristics</title>
<p>The mobile phone survey response rate was estimated at 39.1% (<italic>n</italic>&#x202F;=&#x202F;13,235). Most respondents were in the 20&#x2013;29 age group (37.7%), attended primary level of education (49.8%), and were married or cohabiting with their partner (74.7%). The participants represented all eleven of Mozambique&#x2019;s provinces, and nearly two-thirds resided in rural areas (61.7%). Almost half (46.0%) of respondents reported owning the mobile phone they were using for the interview, and 68.6% reported having access to the mobile phone whenever they wanted to use it. Eight out of ten (83.3%) women had ever given birth. Among those who had given birth in the past 24&#x202F;months prior to the survey, almost all (98.6%) reported having at least one antenatal care (ANC) visit, but only 23.4% achieved four or more visits. About 86% of women delivered at a health facility. More than one-third (37.5%) of the respondents usually make decisions about their health care, and 47.0% reported that they usually make decisions for child healthcare (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Socio-demographic characteristics of respondents.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="left" valign="top">Categories</th>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Unweighted distribution (%)</th>
<th align="center" valign="top">Weighted distribution (%)</th>
<th align="center" valign="top">Weighted count (<italic>n</italic>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="10">Demographics</td>
<td align="left" valign="top" rowspan="4">Age group</td>
<td align="left" valign="top">Less than 20</td>
<td align="char" valign="top" char=".">5.2</td>
<td align="char" valign="top" char=".">22.9</td>
<td align="center" valign="top">3,030</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;29</td>
<td align="char" valign="top" char=".">35.1</td>
<td align="char" valign="top" char=".">37.7</td>
<td align="center" valign="top">4,996</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="char" valign="top" char=".">32.1</td>
<td align="char" valign="top" char=".">23.1</td>
<td align="center" valign="top">3,061</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="char" valign="top" char=".">27.5</td>
<td align="char" valign="top" char=".">16.2</td>
<td align="center" valign="top">2,148</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education</td>
<td align="left" valign="top">None</td>
<td align="char" valign="top" char=".">10.7</td>
<td align="char" valign="top" char=".">22.4</td>
<td align="center" valign="top">2,970</td>
</tr>
<tr>
<td align="left" valign="top">primary</td>
<td align="char" valign="top" char=".">37.0</td>
<td align="char" valign="top" char=".">49.8</td>
<td align="center" valign="top">6,587</td>
</tr>
<tr>
<td align="left" valign="top">Secondary and more</td>
<td align="char" valign="top" char=".">52.3</td>
<td align="char" valign="top" char=".">27.8</td>
<td align="center" valign="top">3,679</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Marital status</td>
<td align="left" valign="top">Married/cohabited</td>
<td align="char" valign="top" char=".">69.1</td>
<td align="char" valign="top" char=".">74.7</td>
<td align="center" valign="top">9,881</td>
</tr>
<tr>
<td align="left" valign="top">Widowed/Divorced/Separated</td>
<td align="char" valign="top" char=".">13.7</td>
<td align="char" valign="top" char=".">9.4</td>
<td align="center" valign="top">1,245</td>
</tr>
<tr>
<td align="left" valign="top">Never being married</td>
<td align="char" valign="top" char=".">17.2</td>
<td align="char" valign="top" char=".">15.9</td>
<td align="center" valign="top">2,108</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="13">Birth history</td>
<td align="left" valign="top" rowspan="2">Never gave birth</td>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">87.9</td>
<td align="char" valign="top" char=".">83.3</td>
<td align="center" valign="top">11,022</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">12.1</td>
<td align="char" valign="top" char=".">16.7</td>
<td align="center" valign="top">2,213</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of birth (<italic>n</italic>&#x202F;=&#x202F;11,022)</td>
<td align="left" valign="top">One</td>
<td align="char" valign="top" char=".">20.9</td>
<td align="char" valign="top" char=".">26.0</td>
<td align="center" valign="top">2,861</td>
</tr>
<tr>
<td align="left" valign="top">2_4</td>
<td align="char" valign="top" char=".">57.6</td>
<td align="char" valign="top" char=".">52.1</td>
<td align="center" valign="top">5,738</td>
</tr>
<tr>
<td align="left" valign="top">5+</td>
<td align="char" valign="top" char=".">21.4</td>
<td align="char" valign="top" char=".">22.0</td>
<td align="center" valign="top">2,423</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Currently pregnant (<italic>n</italic>&#x202F;=&#x202F;11,022)</td>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">10.4</td>
<td align="char" valign="top" char=".">15.3</td>
<td align="center" valign="top">1,688</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">89.6</td>
<td align="char" valign="top" char=".">84.7</td>
<td align="center" valign="top">9,333</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Antenatal care (ANC) services (<italic>n</italic>&#x202F;=&#x202F;4,604)</td>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">99.2</td>
<td align="char" valign="top" char=".">98.6</td>
<td align="center" valign="top">4,539</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">0.8</td>
<td align="char" valign="top" char=".">1.4</td>
<td align="center" valign="top">65</td>
</tr>
<tr>
<td align="left" valign="top">Less than 4</td>
<td align="char" valign="top" char=".">84.6</td>
<td align="char" valign="top" char=".">76.6</td>
<td align="center" valign="top">3,479</td>
</tr>
<tr>
<td align="left" valign="top">4 ANC or more</td>
<td align="char" valign="top" char=".">15.4</td>
<td align="char" valign="top" char=".">23.4</td>
<td align="center" valign="top">1,060</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Place of delivery (<italic>n</italic>&#x202F;=&#x202F;4,604)</td>
<td align="left" valign="top">Health facility</td>
<td align="char" valign="top" char=".">91.7</td>
<td align="char" valign="top" char=".">14.3</td>
<td align="center" valign="top">657</td>
</tr>
<tr>
<td align="left" valign="top">Home</td>
<td align="char" valign="top" char=".">8.3</td>
<td align="char" valign="top" char=".">85.7</td>
<td align="center" valign="top">3,947</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="13">Empowerment (decision making)</td>
<td align="left" valign="top" rowspan="3">Phone ownership</td>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">63.6</td>
<td align="char" valign="top" char=".">46.0</td>
<td align="center" valign="top">6,084</td>
</tr>
<tr>
<td align="left" valign="top">Husband/conjoint</td>
<td align="char" valign="top" char=".">22.5</td>
<td align="char" valign="top" char=".">37.7</td>
<td align="center" valign="top">4,993</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">14.0</td>
<td align="char" valign="top" char=".">16.3</td>
<td align="center" valign="top">2,158</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Need permission to use phone (<italic>n</italic>&#x202F;=&#x202F;6,085)</td>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">8.9</td>
<td align="char" valign="top" char=".">14.6</td>
<td align="center" valign="top">888</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">91.1</td>
<td align="char" valign="top" char=".">85.4</td>
<td align="center" valign="top">5,197</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Can access to phone if needed</td>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">82.8</td>
<td align="char" valign="top" char=".">68.6</td>
<td align="center" valign="top">9,081</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">17.2</td>
<td align="char" valign="top" char=".">31.4</td>
<td align="center" valign="top">4,154</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Taking decisions on her own health</td>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">51.4</td>
<td align="char" valign="top" char=".">37.5</td>
<td align="center" valign="top">4,963</td>
</tr>
<tr>
<td align="left" valign="top">Husband/conjoint</td>
<td align="char" valign="top" char=".">33.9</td>
<td align="char" valign="top" char=".">45.0</td>
<td align="center" valign="top">5,955</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">14.7</td>
<td align="char" valign="top" char=".">17.5</td>
<td align="center" valign="top">2,317</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Taking decisions on her children health</td>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">52.5</td>
<td align="char" valign="top" char=".">47.0</td>
<td align="center" valign="top">6,216</td>
</tr>
<tr>
<td align="left" valign="top">Husband/conjoint</td>
<td align="char" valign="top" char=".">42.3</td>
<td align="char" valign="top" char=".">47.6</td>
<td align="center" valign="top">6,300</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">5.2</td>
<td align="char" valign="top" char=".">5.4</td>
<td align="center" valign="top">720</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="13">Place of residence</td>
<td align="left" valign="top" rowspan="2">Residence area</td>
<td align="left" valign="top">Urban</td>
<td align="char" valign="top" char=".">61.7</td>
<td align="char" valign="top" char=".">38.3</td>
<td align="center" valign="top">5,075</td>
</tr>
<tr>
<td align="left" valign="top">Rural</td>
<td align="char" valign="top" char=".">38.3</td>
<td align="char" valign="top" char=".">61.7</td>
<td align="center" valign="top">8,160</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="11">Province of residence</td>
<td align="left" valign="top">Niassa</td>
<td align="char" valign="top" char=".">4.6</td>
<td align="char" valign="top" char=".">6.1</td>
<td align="center" valign="top">811</td>
</tr>
<tr>
<td align="left" valign="top">Cabo Delgado</td>
<td align="char" valign="top" char=".">6.2</td>
<td align="char" valign="top" char=".">7.9</td>
<td align="center" valign="top">1,047</td>
</tr>
<tr>
<td align="left" valign="top">Nampula</td>
<td align="char" valign="top" char=".">4.6</td>
<td align="char" valign="top" char=".">19.6</td>
<td align="center" valign="top">2,601</td>
</tr>
<tr>
<td align="left" valign="top">Zambezia</td>
<td align="char" valign="top" char=".">4.1</td>
<td align="char" valign="top" char=".">18.0</td>
<td align="center" valign="top">2,381</td>
</tr>
<tr>
<td align="left" valign="top">Tete</td>
<td align="char" valign="top" char=".">5.3</td>
<td align="char" valign="top" char=".">9.4</td>
<td align="center" valign="top">1,242</td>
</tr>
<tr>
<td align="left" valign="top">Manica</td>
<td align="char" valign="top" char=".">6.3</td>
<td align="char" valign="top" char=".">7.0</td>
<td align="center" valign="top">924</td>
</tr>
<tr>
<td align="left" valign="top">Sofala</td>
<td align="char" valign="top" char=".">9.0</td>
<td align="char" valign="top" char=".">8.4</td>
<td align="center" valign="top">1,108</td>
</tr>
<tr>
<td align="left" valign="top">Inhambane</td>
<td align="char" valign="top" char=".">11.0</td>
<td align="char" valign="top" char=".">5.3</td>
<td align="center" valign="top">707</td>
</tr>
<tr>
<td align="left" valign="top">Gaza</td>
<td align="char" valign="top" char=".">7.6</td>
<td align="char" valign="top" char=".">5.1</td>
<td align="center" valign="top">676</td>
</tr>
<tr>
<td align="left" valign="top">Maputo Province</td>
<td align="char" valign="top" char=".">17.6</td>
<td align="char" valign="top" char=".">8.8</td>
<td align="center" valign="top">1,162</td>
</tr>
<tr>
<td align="left" valign="top">Maputo City</td>
<td align="char" valign="top" char=".">23.6</td>
<td align="char" valign="top" char=".">4.4</td>
<td align="center" valign="top">579</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top" rowspan="2">Total</td>
<td align="left" valign="top">percent</td>
<td align="char" valign="top" char=".">100.0</td>
<td align="char" valign="top" char=".">100.0</td>
<td align="center" valign="top">NA</td>
</tr>
<tr>
<td align="left" valign="top"><italic>n</italic></td>
<td align="center" valign="top" colspan="3">13,235</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec9">
<title>Participants&#x2019; COVID-19 vaccination status and vaccine acceptance and hesitancy</title>
<p>The study found that 77.2% [95% confidence interval (CI): 74.9&#x2013;79.5] of participants reported receiving at least one dose of a COVID-19 vaccine. Among vaccinated women, 64.5% [95% CI: 62.2&#x2013;66.7] reported receiving two doses. More than three-quarters [82.3, 95% CI: 79.1&#x2013;85.1] of unvaccinated women reported that they would definitely take the vaccine if it was available and offered to them. An additional 5.8% [95% CI: 4.5&#x2013;7.3] said they would likely take the vaccine if it was offered.</p>
<p>About 12% of unvaccinated respondents were hesitant to take the COVID-19 vaccine if offered (1.2% unlikely [95% CI: 0.8&#x2013;1.8], 4.7% definitely not [95% CI: 3.5&#x2013;6.3] and 6.0% undecided [95% CI: 4.1&#x2013;8.7]). The primary reasons reported for not taking the vaccine were the dislike of needles (17.1% [95% CI: 12.4&#x2013;23.0]), COVID-19 vaccine safety (12.0% [95% CI: 8.8&#x2013;16.3]), COVID-19 vaccine effectiveness (10.2% [95% CI: 6.5&#x2013;15.7]), medical reasons (5.6% [95% CI: 2.9&#x2013;10.6]),waiting for others to get vaccinated first (5.4% [95% CI:2.5&#x2013;11.1]), and eligibility age restrictions (3.2% [95% CI: 1.3&#x2013;7.6]) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Respondent COVID-19 vaccination characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top">Weighted percent</th>
<th align="center" valign="top">95% Confidence interval</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Received dose of COVID-19 vaccine (<italic>n</italic>&#x202F;=&#x202F;13,235)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">77.2</td>
<td align="center" valign="top">[74.9&#x2013;79.5]</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">22.8</td>
<td align="center" valign="top">[20.5&#x2013;25.1]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Number of doses received (<italic>n</italic>&#x202F;=&#x202F;11,226)</td>
<td align="left" valign="top">1</td>
<td align="center" valign="top">35.5</td>
<td align="center" valign="top">[33.3&#x2013;37.8]</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="center" valign="top">64.5</td>
<td align="center" valign="top">[62.2&#x2013;66.7]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Likely to take vaccine if offered (<italic>n</italic>&#x202F;=&#x202F;1974)</td>
<td align="left" valign="top">Yes, definitely</td>
<td align="center" valign="top">82.3</td>
<td align="center" valign="top">[79.1&#x2013;85.1]</td>
</tr>
<tr>
<td align="left" valign="top">Likely</td>
<td align="center" valign="top">5.8</td>
<td align="center" valign="top">[4.5&#x2013;7.3]</td>
</tr>
<tr>
<td align="left" valign="top">Unlikely</td>
<td align="center" valign="top">1.2</td>
<td align="center" valign="top">[0.8&#x2013;1.8]</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">4.7</td>
<td align="center" valign="top">[3.5&#x2013;6.3]</td>
</tr>
<tr>
<td align="left" valign="top">Undecided</td>
<td align="center" valign="top">6.0</td>
<td align="center" valign="top">[4.1&#x2013;8.7]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="14">Primary reason to not take vaccine (<italic>n</italic>&#x202F;=&#x202F;557)</td>
<td align="left" valign="top">Not safe</td>
<td align="center" valign="top">12.0</td>
<td align="center" valign="top">[8.8&#x2013;16.3]</td>
</tr>
<tr>
<td align="left" valign="top">Needles</td>
<td align="center" valign="top">17.1</td>
<td align="center" valign="top">[12.4&#x2013;23.0]</td>
</tr>
<tr>
<td align="left" valign="top">Not effective</td>
<td align="center" valign="top">10.2</td>
<td align="center" valign="top">[6.5&#x2013;15.7]</td>
</tr>
<tr>
<td align="left" valign="top">Religious</td>
<td align="center" valign="top">1.6</td>
<td align="center" valign="top">[0.6&#x2013;3.9]</td>
</tr>
<tr>
<td align="left" valign="top">Wait for other first</td>
<td align="center" valign="top">5.4</td>
<td align="center" valign="top">[2.5&#x2013;11.1]</td>
</tr>
<tr>
<td align="left" valign="top">Various other reasons</td>
<td align="center" valign="top">38.1</td>
<td align="center" valign="top">[29.5&#x2013;47.6]</td>
</tr>
<tr>
<td align="left" valign="top">Medical reason</td>
<td align="center" valign="top">5.6</td>
<td align="center" valign="top">[2.9&#x2013;10.6]</td>
</tr>
<tr>
<td align="left" valign="top">Pregnant or breastfeeding</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">[0.9&#x2013;2.4]</td>
</tr>
<tr>
<td align="left" valign="top">Time</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">[0.5&#x2013;1.9]</td>
</tr>
<tr>
<td align="left" valign="top">Vaccine site challenges</td>
<td align="center" valign="top">1.0</td>
<td align="center" valign="top">[0.5&#x2013;2.0]</td>
</tr>
<tr>
<td align="left" valign="top">Fear</td>
<td align="center" valign="top">1.4</td>
<td align="center" valign="top">[0.4&#x2013;4.8]</td>
</tr>
<tr>
<td align="left" valign="top">Travel</td>
<td align="center" valign="top">1.1</td>
<td align="center" valign="top">[0.3&#x2013;4.0]</td>
</tr>
<tr>
<td align="left" valign="top">Age restrictions</td>
<td align="center" valign="top">3.2</td>
<td align="center" valign="top">[1.3&#x2013;7.6]</td>
</tr>
<tr>
<td align="left" valign="top">Local availability</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">[0.4&#x2013;2.3]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top"><italic>n</italic></td>
<td align="center" valign="top">13,235</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Almost 90% [95% CI: 86.7&#x2013;91.2] of women aged 40&#x2013;49&#x202F;years old had received the COVID-19 vaccine, compared to only 63.9% [95% CI: 57.2&#x2013;70.0] of women under 20&#x202F;years old (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Of the eleven provinces, women in Manica (89%), Gaza (88%), and Maputo City and Province (81%) had the highest vaccination rates (<italic>p</italic>&#x202F;=&#x202F;0.003). About 80% [95% CI: 77.5&#x2013;82.1] of women who had ever been pregnant or given birth had received the COVID-19 vaccine, compared to 63.9% [95% CI: 57.6&#x2013;69.8] of women who had never been pregnant or given birth (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Place of delivery was associated with women&#x2019;s COVID-19 vaccination rates, with 77.7% [95% CI: 73.5&#x2013;81.4] of women who delivered at a health facility being vaccinated against COVID-19, compared to 65.2% [95% CI: 53.2&#x2013;75.5] of those who delivered at home (<italic>p</italic>&#x202F;=&#x202F;0.013) (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>COVID-19 vaccination rates by sociodemographic and residential characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top">Received COVID-19 vaccine (%)</th>
<th align="center" valign="top">95% Confidence interval</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Age group</td>
<td align="left" valign="top">&#x003C;20</td>
<td align="center" valign="top">63.9</td>
<td align="center" valign="top">[57.2&#x2013;70.0]</td>
<td align="char" valign="top" char="." rowspan="4">0.000</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;29</td>
<td align="center" valign="top">76.0</td>
<td align="center" valign="top">[72.8&#x2013;79.0]</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="center" valign="top">84.1</td>
<td align="center" valign="top">[81.6&#x2013;86.4]</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="center" valign="top">89.1</td>
<td align="center" valign="top">[86.7&#x2013;91.2]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education</td>
<td align="left" valign="top">None</td>
<td align="center" valign="top">77.4</td>
<td align="center" valign="top">[72.4&#x2013;81.7]</td>
<td align="char" valign="top" char="." rowspan="3">0.966</td>
</tr>
<tr>
<td align="left" valign="top">Primary</td>
<td align="center" valign="top">77.0</td>
<td align="center" valign="top">[73.5&#x2013;80.2]</td>
</tr>
<tr>
<td align="left" valign="top">Secondary and above</td>
<td align="center" valign="top">77.5</td>
<td align="center" valign="top">[74.7&#x2013;80.1]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Marital status</td>
<td align="left" valign="top">Married or cohabitating</td>
<td align="center" valign="top">78.3</td>
<td align="center" valign="top">[75.7&#x2013;80.8]</td>
<td align="char" valign="top" char="." rowspan="3">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Widowed, divorced, or separated</td>
<td align="center" valign="top">86.9</td>
<td align="center" valign="top">[82.8&#x2013;90.1]</td>
</tr>
<tr>
<td align="left" valign="top">Never married</td>
<td align="center" valign="top">66.4</td>
<td align="center" valign="top">[61.1&#x2013;71.4]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Residence area</td>
<td align="left" valign="top">Urban</td>
<td align="center" valign="top">79.8</td>
<td align="center" valign="top">[76.3&#x2013;82.9]</td>
<td align="char" valign="top" char="." rowspan="2">0.077</td>
</tr>
<tr>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top">75.7</td>
<td align="center" valign="top">[72.4&#x2013;78.7]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="11">Province of residence</td>
<td align="left" valign="top">Niassa</td>
<td align="center" valign="top">79.0</td>
<td align="center" valign="top">[70.0&#x2013;85.9]</td>
<td align="char" valign="top" char="." rowspan="11">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Cabo Delgado</td>
<td align="center" valign="top">73.8</td>
<td align="center" valign="top">[66.4&#x2013;80.1]</td>
</tr>
<tr>
<td align="left" valign="top">Nampula</td>
<td align="center" valign="top">77.6</td>
<td align="center" valign="top">[70.8&#x2013;83.2]</td>
</tr>
<tr>
<td align="left" valign="top">Zambezia</td>
<td align="center" valign="top">70.3</td>
<td align="center" valign="top">[62.6&#x2013;77.1]</td>
</tr>
<tr>
<td align="left" valign="top">Tete</td>
<td align="center" valign="top">72.5</td>
<td align="center" valign="top">[63.9&#x2013;79.8]</td>
</tr>
<tr>
<td align="left" valign="top">Manica</td>
<td align="center" valign="top">88.5</td>
<td align="center" valign="top">[84.7&#x2013;91.5]</td>
</tr>
<tr>
<td align="left" valign="top">Sofala</td>
<td align="center" valign="top">75.7</td>
<td align="center" valign="top">[65.6&#x2013;83.5]</td>
</tr>
<tr>
<td align="left" valign="top">Inhambane</td>
<td align="center" valign="top">79.1</td>
<td align="center" valign="top">[74.5&#x2013;83.0]</td>
</tr>
<tr>
<td align="left" valign="top">Gaza</td>
<td align="center" valign="top">88.4</td>
<td align="center" valign="top">[83.5&#x2013;91.9]</td>
</tr>
<tr>
<td align="left" valign="top">Maputo Province</td>
<td align="center" valign="top">80.8</td>
<td align="center" valign="top">[77.8&#x2013;83.5]</td>
</tr>
<tr>
<td align="left" valign="top">Maputo City</td>
<td align="center" valign="top">80.6</td>
<td align="center" valign="top">[77.5&#x2013;83.4]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever pregnant or given birth</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">79.9</td>
<td align="center" valign="top">[77.5&#x2013;82.1]</td>
<td align="char" valign="top" char="." rowspan="2">0.000</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">63.9</td>
<td align="center" valign="top">[57.6&#x2013;69.8]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Currently pregnant (<italic>n</italic>&#x202F;=&#x202F;11,636)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">78.4</td>
<td align="center" valign="top">[71.9&#x2013;83.8]</td>
<td align="char" valign="top" char="." rowspan="2">0.527</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">80.2</td>
<td align="center" valign="top">[77.9&#x2013;82.3]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">ANC services (<italic>n</italic>&#x202F;=&#x202F;3,185)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">75.9</td>
<td align="center" valign="top">[71.4&#x2013;79.9]</td>
<td align="char" valign="top" char="." rowspan="2">0.932</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">74.9</td>
<td align="center" valign="top">[47.4&#x2013;90.8]</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;4</td>
<td align="center" valign="top">77.0</td>
<td align="center" valign="top">[72.6&#x2013;80.9]</td>
<td align="char" valign="top" char="." rowspan="2">0.207</td>
</tr>
<tr>
<td align="left" valign="top">4&#x2265;</td>
<td align="center" valign="top">72.2</td>
<td align="center" valign="top">[63.4&#x2013;79.6]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Place of delivery (<italic>n</italic>&#x202F;=&#x202F;3,185)</td>
<td align="left" valign="top">Home</td>
<td align="center" valign="top">65.2</td>
<td align="center" valign="top">[53.2&#x2013;75.5]</td>
<td align="char" valign="top" char="." rowspan="2">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Health facility</td>
<td align="center" valign="top">77.7</td>
<td align="center" valign="top">[73.5&#x2013;81.4]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Mobile phone ownership</td>
<td align="left" valign="top">Respondent</td>
<td align="center" valign="top">80.7</td>
<td align="center" valign="top">[77.9&#x2013;83.2]</td>
<td align="char" valign="top" char="." rowspan="3">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top">78.2</td>
<td align="center" valign="top">[74.7&#x2013;81.3]</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">65.4</td>
<td align="center" valign="top">[59.7&#x2013;70.7]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Need permission to use phone (<italic>n</italic>&#x202F;=&#x202F;8,415)</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">82.9</td>
<td align="center" valign="top">[76.4&#x2013;87.9]</td>
<td align="char" valign="top" char="." rowspan="2">0.450</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">80.3</td>
<td align="center" valign="top">[77.2&#x2013;83.1]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Can access phone when wanted</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">78.6</td>
<td align="center" valign="top">[76.0&#x2013;81.0]</td>
<td align="char" valign="top" char="." rowspan="2">0.042</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">74.2</td>
<td align="center" valign="top">[70.1&#x2013;78.0]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Makes decisions about respondent&#x2019;s health</td>
<td align="left" valign="top">Respondent</td>
<td align="center" valign="top">81.9</td>
<td align="center" valign="top">[78.9&#x2013;84.5]</td>
<td align="char" valign="top" char="." rowspan="3">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top">77.3</td>
<td align="center" valign="top">[74.1&#x2013;80.1]</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">67.2</td>
<td align="center" valign="top">[62.0&#x2013;72.0]</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Makes decisions about child(ren)'s health</td>
<td align="left" valign="top">Respondent</td>
<td align="center" valign="top">77.1</td>
<td align="center" valign="top">[73.9&#x2013;80.0]</td>
<td align="char" valign="top" char="." rowspan="3">0.249</td>
</tr>
<tr>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top">78.1</td>
<td align="center" valign="top">[74.9&#x2013;81.0]</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">70.9</td>
<td align="center" valign="top">[61.5&#x2013;78.7]</td>
</tr>
<tr>
<td/>
<td align="left" valign="top"><italic>n</italic></td>
<td align="center" valign="top">13,235</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Characteristics relating to phone ownership and health decision-making were also associated with respondents&#x2019; COVID-19 vaccination status. About 81% [95% CI: 77.9&#x2013;83.2] of respondents who owned the phone they were speaking on had received the COVID-19 vaccine compared to 65.4% [95% CI: 59.7&#x2013;70.7] of those who reported that someone else owned the mobile phone (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). About 82% [95% CI: 78.9&#x2013;84.5] of women who reported that they usually make decisions about their own healthcare had received the COVID-19 vaccine compared to 67.2% [95% CI: 62.0&#x2013;72.0] of women who reported that someone else makes decisions about their healthcare (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001).</p>
</sec>
<sec id="sec10">
<title>Factors associated with the likelihood of receiving the COVID-19 vaccine</title>
<p>Controlling for other factors, women aged 20&#x202F;years and above were more likely to receive the COVID-19 vaccine than women under 20&#x202F;years of age (for 40&#x2013;49-year-old age group: adjusted odds ratio [aOR]&#x202F;=&#x202F;3.57; 95% CI: 2.27&#x2013;5.62). Educated women were more likely to receive the COVID-19 vaccine than uneducated women (for secondary level and higher: aOR&#x202F;=&#x202F;1.67; 95% CI: 1.17&#x2013;2.37). Women who had ever been pregnant or given birth were more likely to receive the COVID-19 vaccine than women who had never been pregnant or given birth (aOR&#x202F;=&#x202F;1.50; 95% CI: 1.01&#x2013;2.23). Women who reported giving birth at a health facility were more likely to receive the COVID-19 vaccine than women who gave birth at home (aOR&#x202F;=&#x202F;1.69; 95% CI: 1.02&#x2013;2.79). Women in nearly all provinces were more likely to receive the COVID-19 vaccine than women in Cabo Delgado (for Manica: aOR&#x202F;=&#x202F;2.67 (95% CI: 1.60&#x2013;4.44); for Gaza: aOR&#x202F;=&#x202F;2.84 (95% CI: 1.59&#x2013;5.08)).</p>
<p>However, respondent characteristics such as marital status, place of residence, and women&#x2019;s empowerment based on mobile phone ownership, permission and access to use the phone, and decision-making about health care were not significantly associated with vaccination status in the multivariate analysis (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Regression results on women&#x2019;s COVID-19 vaccination status.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristics</th>
<th align="left" valign="top" rowspan="2">Categories</th>
<th align="center" valign="top" colspan="2">Bivariate</th>
<th align="center" valign="top" colspan="3">Multivariate</th>
</tr>
<tr>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% Confidence interval</th>
<th align="center" valign="top">aOR</th>
<th align="center" valign="top" colspan="2">95% Confidence interval</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">Age group</td>
<td align="left" valign="top">&#x003C;20</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;29</td>
<td align="char" valign="top" char=".">1.79&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.31&#x2013;2.44)</td>
<td align="char" valign="top" char=".">1.50&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.07</td>
<td align="char" valign="top" char=".">2.12</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="char" valign="top" char=".">2.99&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(2.20&#x2013;4.07)</td>
<td align="char" valign="top" char=".">2.35&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.62</td>
<td align="char" valign="top" char=".">3.42</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="char" valign="top" char=".">4.64&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(3.22&#x2013;6.69)</td>
<td align="char" valign="top" char=".">3.57&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">2.27</td>
<td align="char" valign="top" char=".">5.62</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Education</td>
<td align="left" valign="top">None</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Primary</td>
<td align="char" valign="top" char=".">0.98</td>
<td align="center" valign="top">(0.71&#x2013;1.35)</td>
<td align="char" valign="top" char=".">1.21</td>
<td align="char" valign="top" char=".">0.85</td>
<td align="char" valign="top" char=".">1.72</td>
</tr>
<tr>
<td align="left" valign="top">Secondary and above</td>
<td align="char" valign="top" char=".">1.01</td>
<td align="center" valign="top">(0.76&#x2013;1.34)</td>
<td align="char" valign="top" char=".">1.67&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.17</td>
<td align="char" valign="top" char=".">2.37</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Marital status</td>
<td align="left" valign="top">Married or cohabitating</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Widowed, divorced, or separated</td>
<td align="char" valign="top" char=".">1.84&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.31&#x2013;2.58)</td>
<td align="char" valign="top" char=".">1.30</td>
<td align="char" valign="top" char=".">0.87</td>
<td align="char" valign="top" char=".">1.95</td>
</tr>
<tr>
<td align="left" valign="top">Never married</td>
<td align="char" valign="top" char=".">0.55&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(0.42&#x2013;0.70)</td>
<td align="char" valign="top" char=".">0.85</td>
<td align="char" valign="top" char=".">0.59</td>
<td align="char" valign="top" char=".">1.22</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Residence area</td>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Urban</td>
<td align="char" valign="top" char=".">1.27&#x002A;</td>
<td align="center" valign="top">(0.97&#x2013;1.65)</td>
<td align="char" valign="top" char=".">1.09</td>
<td align="char" valign="top" char=".">0.82</td>
<td align="char" valign="top" char=".">1.45</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="11">Province of residence</td>
<td align="left" valign="top">Cabo Delgado</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Niassa</td>
<td align="char" valign="top" char=".">1.33</td>
<td align="center" valign="top">(0.73&#x2013;2.42)</td>
<td align="char" valign="top" char=".">1.30</td>
<td align="char" valign="top" char=".">0.74</td>
<td align="char" valign="top" char=".">2.27</td>
</tr>
<tr>
<td align="left" valign="top">Nampula</td>
<td align="char" valign="top" char=".">1.23</td>
<td align="center" valign="top">(0.74&#x2013;2.03)</td>
<td align="char" valign="top" char=".">1.18</td>
<td align="char" valign="top" char=".">0.71</td>
<td align="char" valign="top" char=".">1.96</td>
</tr>
<tr>
<td align="left" valign="top">Zambezia</td>
<td align="char" valign="top" char=".">0.84</td>
<td align="center" valign="top">(0.51&#x2013;1.39)</td>
<td align="char" valign="top" char=".">0.82</td>
<td align="char" valign="top" char=".">0.48</td>
<td align="char" valign="top" char=".">1.41</td>
</tr>
<tr>
<td align="left" valign="top">Tete</td>
<td align="char" valign="top" char=".">0.94</td>
<td align="center" valign="top">(0.55&#x2013;1.60)</td>
<td align="char" valign="top" char=".">0.86</td>
<td align="char" valign="top" char=".">0.49</td>
<td align="char" valign="top" char=".">1.49</td>
</tr>
<tr>
<td align="left" valign="top">Manica</td>
<td align="char" valign="top" char=".">2.74&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.68&#x2013;4.46)</td>
<td align="char" valign="top" char=".">2.67&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.60</td>
<td align="char" valign="top" char=".">4.44</td>
</tr>
<tr>
<td align="left" valign="top">Sofala</td>
<td align="char" valign="top" char=".">1.10</td>
<td align="center" valign="top">(0.60&#x2013;2.01)</td>
<td align="char" valign="top" char=".">1.09</td>
<td align="char" valign="top" char=".">0.59</td>
<td align="char" valign="top" char=".">2.02</td>
</tr>
<tr>
<td align="left" valign="top">Inhambane</td>
<td align="char" valign="top" char=".">1.34</td>
<td align="center" valign="top">(0.86&#x2013;2.08)</td>
<td align="char" valign="top" char=".">1.04</td>
<td align="char" valign="top" char=".">0.66</td>
<td align="char" valign="top" char=".">1.66</td>
</tr>
<tr>
<td align="left" valign="top">Gaza</td>
<td align="char" valign="top" char=".">2.69&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.57&#x2013;4.61)</td>
<td align="char" valign="top" char=".">2.84&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.59</td>
<td align="char" valign="top" char=".">5.08</td>
</tr>
<tr>
<td align="left" valign="top">Maputo Province</td>
<td align="char" valign="top" char=".">1.49&#x002A;</td>
<td align="center" valign="top">(1.00&#x2013;2.22)</td>
<td align="char" valign="top" char=".">1.12</td>
<td align="char" valign="top" char=".">0.73</td>
<td align="char" valign="top" char=".">1.72</td>
</tr>
<tr>
<td align="left" valign="top">Maputo City</td>
<td align="char" valign="top" char=".">1.47&#x002A;</td>
<td align="center" valign="top">(0.98&#x2013;2.20)</td>
<td align="char" valign="top" char=".">1.17</td>
<td align="char" valign="top" char=".">0.74</td>
<td align="char" valign="top" char=".">1.87</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever pregnant or given birth</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">2.25&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.68&#x2013;3.01)</td>
<td align="char" valign="top" char=".">1.50&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.01</td>
<td align="char" valign="top" char=".">2.23</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Currently pregnant</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td colspan="3"/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">1.11</td>
<td align="center" valign="top">(0.80&#x2013;1.55)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">ANC services</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td colspan="3"/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">1.05</td>
<td align="center" valign="top">(0.31&#x2013;3.54)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003C;4</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td colspan="3" rowspan="2"/>
</tr>
<tr>
<td align="left" valign="top">4&#x2265;</td>
<td align="char" valign="top" char=".">1.29</td>
<td align="center" valign="top">(0.87&#x2013;1.91)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Place of delivery</td>
<td align="left" valign="top">Home</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Health facility</td>
<td align="char" valign="top" char=".">1.86&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.14&#x2013;3.04)</td>
<td align="char" valign="top" char=".">1.69&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">1.02</td>
<td align="char" valign="top" char=".">2.79</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Mobile phone ownership</td>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">1.17</td>
<td align="center" valign="top">(0.93&#x2013;1.47)</td>
<td align="char" valign="top" char=".">0.85</td>
<td align="char" valign="top" char=".">0.62</td>
<td align="char" valign="top" char=".">1.16</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">0.53&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(0.40&#x2013;0.70)</td>
<td align="char" valign="top" char=".">0.60&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">0.42</td>
<td align="char" valign="top" char=".">0.86</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Need permission to use phone</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td colspan="3" rowspan="2"/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="char" valign="top" char=".">0.84</td>
<td align="center" valign="top">(0.54&#x2013;1.31)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Can access phone when wanted</td>
<td align="left" valign="top">No</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="char" valign="top" char=".">1.28&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.01&#x2013;1.61)</td>
<td align="char" valign="top" char=".">0.89</td>
<td align="char" valign="top" char=".">0.65</td>
<td align="char" valign="top" char=".">1.21</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Makes decisions about respondent&#x2019;s health</td>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">1.33&#x002A;&#x002A;</td>
<td align="center" valign="top">(1.07&#x2013;1.66)</td>
<td align="char" valign="top" char=".">1.16</td>
<td align="char" valign="top" char=".">0.85</td>
<td align="char" valign="top" char=".">1.59</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">0.60&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">(0.46&#x2013;0.80)</td>
<td align="char" valign="top" char=".">0.78</td>
<td align="char" valign="top" char=".">0.53</td>
<td align="char" valign="top" char=".">1.15</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Makes decisions about child(ren)'s health</td>
<td align="left" valign="top">Husband or shared</td>
<td align="center" valign="top" colspan="2">Ref</td>
<td align="center" valign="top" colspan="3">Ref</td>
</tr>
<tr>
<td align="left" valign="top">Respondent</td>
<td align="char" valign="top" char=".">0.95</td>
<td align="center" valign="top">(0.74&#x2013;1.20)</td>
<td align="char" valign="top" char=".">1.32&#x002A;</td>
<td align="char" valign="top" char=".">0.96</td>
<td align="char" valign="top" char=".">1.81</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="char" valign="top" char=".">0.68&#x002A;</td>
<td align="center" valign="top">(0.45&#x2013;1.03)</td>
<td align="char" valign="top" char=".">0.94</td>
<td align="char" valign="top" char=".">0.59</td>
<td align="char" valign="top" char=".">1.52</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01, &#x002A;&#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.1.</p>
<p><italic>n</italic>&#x202F;=&#x202F;13,235.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec11">
<title>Discussion</title>
<p>The RaMMPS study, conducted between March&#x2013;July 2022, demonstrated that mobile phone surveys are a feasible approach to quickly collect data to assess the impact of COVID-19 pandemic on vaccine uptake among women of reproductive age in Mozambique. COVID-19 vaccination coverage was high (77.2%) among studied women ages 15&#x2013;49. This estimate was slightly lower than findings from a national study, which reported a vaccination coverage of 93% among adults over 18&#x202F;years as of May 2022 (<xref ref-type="bibr" rid="ref41">41</xref>). Additionally, among vaccinated women in the RaMMPS study, 64.5% reported receiving two doses. The COVID-19 vaccination rate of the general population, which was defined as the &#x201C;total number of people who received all doses prescribed by the initial vaccination protocol, divided by the total population of Mozambique,&#x201D; was estimated at 46% as of May 2022 (<xref ref-type="bibr" rid="ref41">41</xref>). These findings suggest that overall the vaccination coverage in Mozambique is relatively high compared to many other sub-Saharan African countries (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Among unvaccinated women in the RaMMPS study, 88% reported being likely to take the COVID-19 vaccine if it was offered to them. This finding was higher compared to a 2021 study in Mozambique that revealed that 71% of participants indicated they would take the vaccine, with significant sociodemographic differences across subpopulations (<xref ref-type="bibr" rid="ref8">8</xref>). This reflects a high level of vaccine acceptance, especially given that women are generally more likely to be vaccine-hesitant than men (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). Concerns about vaccine safety and effectiveness were among the primary reasons for reluctance among women unwilling to be vaccinated. Similar concerns have been reported in other studies in sub-Saharan Africa, including in Uganda, Zimbabwe, Tanzania, Ethiopia, Nigeria, Uganda, Malawi and Burkina Faso (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>We found that the odds of COVID-19 vaccination increased with age, with women aged 40&#x2013;49 being significantly more likely to be vaccinated compared to those under 20. Our findings were consistent with previous studies conducted in Mozambique (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). Similar age-related patterns in COVID-19 vaccine acceptance have been also observed in studies from Botswana, Zambia, Zimbabwe, Tanzania and the Democratic Republic of Congo (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref42 ref43 ref44">42&#x2013;44</xref>). However, a multi-country study showed that younger age was associated with vaccine acceptance (<xref ref-type="bibr" rid="ref20">20</xref>). When analyzing these associations, it is important to consider that the COVID-19 vaccination strategy in Mozambique has prioritized older age groups early in the rollout (<xref ref-type="bibr" rid="ref11">11</xref>), which may have influenced both access and uptake among different age cohorts.</p>
<p>We found that women who had attained secondary education or higher were more likely to be vaccinated than women without formal education. However, there was no significant difference in COVID-19 vaccination coverage between women with only primary education and those with no formal education. The relationship between education level and vaccine acceptance has varied across studies. In some countries, including Botswana, Burkina Faso, Ethiopia, Malawi, Nigeria, Sierra Leone, and Uganda, with lower levels of formal education were associated with higher vaccine acceptance (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Conversely, other countries including Senegal, Zimbabwe and Kenya have found that higher levels of education was associated with increased acceptance of COVID-19 vaccine (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>).</p>
<p>Women&#x2019;s health behavioral factors related to the use of health facilities during pregnancy increased the likelihood of being vaccinated against COVID-19. Specially, women who delivered at a health facility were significantly more likely to be vaccinated against COVID-19 than those who delivered at home. However, ANC attendance was not significantly associated with COVID-19 vaccine acceptance, likely due to the near-universal ANC coverage observed in our study. This may also be related to Mozambique&#x2019;s COVID-19 vaccination policy, which excluded pregnant women and individuals under 18&#x202F;years of age from initial eligibility (<xref ref-type="bibr" rid="ref26">26</xref>). While some studies have examined COVID-19 vaccine acceptance among pregnant women, including one in Ethiopia that assessed factors influencing uptake among ANC clinic attendees, few have explored the association between birth history factors and COVID-19 vaccine acceptance (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
<p>Geographic variation in vaccine acceptance was also observed. Women residing in provinces such as Manica and Gaza reported significantly higher levels of COVID-19 vaccine acceptance than women in Cabo Delgado. This may be related to the military conflicts in Cabo Delgado that have led to population displacement and disruption of community and health facilities services (<xref ref-type="bibr" rid="ref48">48</xref>). Similarly, findings from another 2022 study conducted in the COMSA platform indicated that 65% of women 15&#x2013;49-year-olds in Nampula and 80% in Maputo (Province and City) were vaccinated against COVID-19 (<xref ref-type="bibr" rid="ref49">49</xref>). Our findings were also consistent with an early study conducted in Mozambique between September 2020 and March 2021 that revealed that COVID-19 vaccine acceptancy was not significantly associated with women&#x2019;s place of residence (<xref ref-type="bibr" rid="ref26">26</xref>). However, evidence from other sub-Saharan African countries is mixed. A multi-country phone survey study reported higher vaccine acceptance in rural areas of Burkina Faso, Ethiopia and Malawi (<xref ref-type="bibr" rid="ref15">15</xref>), of Madagascar (<xref ref-type="bibr" rid="ref50">50</xref>) and Bangladesh (<xref ref-type="bibr" rid="ref6">6</xref>), while other studies have identified rural residence as a factor associated with increased vaccine hesitancy (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). In Kenya, findings from phone-based surveys varied across different rounds of data collection, showing inconsistent patterns in vaccine acceptance between urban and rural populations (<xref ref-type="bibr" rid="ref45">45</xref>). Accessibility of healthcare infrastructure and vaccination services emerged as key determinants of increased COVID-19 vaccine uptake (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref50">50</xref>).</p>
<p>Characteristics related to women&#x2019;s empowerment- measured through mobile phone ownership, access, and participation in healthcare decision-making- were not significantly associated with COVID-19 vaccination in the multivariate regression model. To our knowledge, no prior studies have specially examined the relationship between women&#x2019;s empowerment and COVID-19 vaccine acceptance in Mozambique or other LMIC settings.</p>
<p>Vaccine hesitancy is influenced by a complex interplay of sociocultural, political, informational, and logistical factors. Trust in health systems, individual knowledge, perceived risks and benefits, cultural norms, and healthcare access can all affect vaccination decisions (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref53">53</xref>). Our study identified factors linked to higher vaccine uptake such as age group, education, marital status, geographic location, and maternal healthcare use. These insights can guide targeted strategies to that address specific demographic, social geographic characteristics to enhance vaccine acceptance. For future public health emergencies, understanding these drivers of vaccine behavior is critical to designing effective disease prevention campaigns. By strengthening trust, improving access, and targeting communication efforts, health systems can improve immunization rates and better manage outbreaks through inclusive and responsive public health planning.</p>
<sec id="sec12">
<title>Study limitations</title>
<p>Our study has several important limitations. First, the study used only a sample of women and households with phones. Therefore, many women without phones were excluded from the study, which might impact its representativeness. However, we employed the post-stratification weighting to reduce this bias (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). Second, the coverage and non-response biases are common in mobile phone surveys, and participation in this study was limited to women ages 15&#x2013;49 with access to a mobile phone (<xref ref-type="bibr" rid="ref54">54</xref>). Studies suggest that people with lower levels of education, in rural areas, and of lower income groups are less likely to have mobile phones, which can lead to coverage bias in mobile phone surveys (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref56">56</xref>). Additionally, there may be incomplete information on sampled individuals if the survey ends early, or if there are differences between respondents and non-respondents, which creates non-response bias (<xref ref-type="bibr" rid="ref56">56</xref>). In addition, social desirability bias could have impacted participants&#x2019; responses, and subsequently the study findings.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec13">
<title>Conclusion</title>
<p>This study contributes to Mozambique-specific evidence on factors influencing COVID-19 vaccine acceptance and hesitancy among women, while examining other potential factors of influence, including women&#x2019;s empowerment. It highlights the importance of targeting younger women, those with no formal educated, women delivering outside a health facility, and those residing in conflict-affected provinces, like Cabo Delgado. While ANC attendance was not significantly associated with COVID-19 vaccine acceptance, improving the quality of counseling during ANC services &#x2013; specially around vaccine safety and effectiveness is critical. However, our findings are limited by potential biases related to phone ownership and social desirability affecting respondents&#x2019; willingness to report their vaccination status and factors related to vaccine hesitancy. Further research, including qualitative studies, is recommended to better understand women&#x2019;s decision-making and strengthen vaccines uptake strategies.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<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 sec-type="ethics-statement" id="sec15">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Committee for Bioethics in Health of Mozambique (Ref # 35/CIBS-INS/2021) and the Ethics Committee of Johns Hopkins University (IRB # 16261). The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because the study was conducted in accordance with the local legislation and institutional requirements. Informed consent was obtained before the data collection. The consent forms were translated into Portuguese and the local languages spoken in each province. Only emancipated minors (married individuals aged 15&#x2013;17) were included and provided with oral consent. Adults lacking capacity were excluded from the study. A waiver of written informed consent was approved due to phone-based data collection, ensuring the safety of the study staff and participants during the COVID-19 pandemic through the use of oral informed consent.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>LG: Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CrM: Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Data curation, Project administration, Methodology. HK: Conceptualization, Data curation, Project administration, Writing &#x2013; review &#x0026; editing, Methodology, Visualization. AM: Conceptualization, Data curation, Methodology, Writing &#x2013; review &#x0026; editing. AkA: Conceptualization, Data curation, Methodology, Writing &#x2013; review &#x0026; editing. NM: Data curation, Methodology, Writing &#x2013; review &#x0026; editing, Software. FD: Data curation, Methodology, Software, Writing &#x2013; review &#x0026; editing. CS: Methodology, Writing &#x2013; review &#x0026; editing, Conceptualization. CeM: Conceptualization, Methodology, Writing &#x2013; review &#x0026; editing, Investigation, Project administration. IM: Conceptualization, Investigation, Methodology, Project administration, Writing &#x2013; review &#x0026; editing, Resources. AgA: Conceptualization, Investigation, Methodology, Project administration, Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Funding acquisition, Resources, Supervision, Validation, Writing &#x2013; original draft. AK: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Visualization, Resources.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>Author(s) LG was employed by JSI Research &#x0026; Training Institute, Inc.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not 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 sec-type="disclaimer" id="sec19">
<title>Publisher&#x2019;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>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/807144/overview">Nyi Nyi Naing</ext-link>, Sultan Zainal Abidin University, Malaysia</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/605127/overview">Tao-Hsin Tung</ext-link>, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3023535/overview">Stanley Chibuzor Onwubu</ext-link>, Durban University of Technology, South Africa</p>
</fn>
</fn-group>
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