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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Health Serv.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Health Services</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Health Serv.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2813-0146</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frhs.2025.1647147</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Reasons for hesitancy and acceptance of COVID-19 vaccination among the Congolese population: a scoping review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lobukulu Lolimo</surname><given-names>Gen&#x00E8;se</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
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<contrib contrib-type="author">
<name><surname>Khonde</surname><given-names>Rodrigue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Matondo</surname><given-names>Herv&#x00E9;</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Kabele</surname><given-names>Junias</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Musawu K</surname><given-names>Yannick</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Beshah</surname><given-names>Senait Alemayehu</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Achala</surname><given-names>Daniel Malik</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Njeri Muriithi</surname><given-names>Grace</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Adote</surname><given-names>Elizabeth Naa Adukwei</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zegeye</surname><given-names>Elias Asfaw</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<name><surname>Mbachu</surname><given-names>Chinyere Ojiugo</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ataguba</surname><given-names>John Ele-Ojo</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yaya Bocoum</surname><given-names>Fadima Inna Kamina</given-names></name>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
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<name><surname>Manitu</surname><given-names>Serge Mayaka</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Health Management and Policy, Kinshasa School of Public Health, University of Kinshasa</institution>, <city>Kinshasa</city>, <country>Democratic Republic of Congo</country></aff>
<aff id="aff2"><label>2</label><institution>Environmental Health Department, Kinshasa School of Public Health, University of Kinshasa</institution>, <city>Kinshasa</city>, <country>Democratic Republic of Congo</country></aff>
<aff id="aff3"><label>3</label><institution>National Emergency and Humanitarian Action Program, Ministry of Public Health, Hygiene and Social Welfare Programme National</institution>, <city>Kinshasa</city>, <country>Democratic Republic of Congo</country></aff>
<aff id="aff4"><label>4</label><institution>Health System Research Directorate, Ethiopian Public Health Institute</institution>, <city>Addis Ababa</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff5"><label>5</label><institution>African Health Economics and Policy Association (AfhEA)</institution>, <city>Accra</city>, <country country="gh">Ghana</country></aff>
<aff id="aff6"><label>6</label><institution>Economics Department, University of Kwazulu-Natal</institution>, <addr-line>Durban</addr-line>, <country country="za">South Africa</country></aff>
<aff id="aff7"><label>7</label><institution>Health Economics and Financing Division, Africa Centers for Disease Control and Prevention</institution>, <city>Addis Ababa</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff8"><label>8</label><institution>Department of Community Medicine, University of Nigeria, Enugu Campus</institution>, <addr-line>Enugu</addr-line>, <country country="ng">Nigeria</country></aff>
<aff id="aff9"><label>9</label><institution>Department of Public Health, Ethiopian Institute of Public Health</institution>, <city>Addis Ababa</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff10"><label>10</label><institution>Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba</institution>, <addr-line>Winnipeg, MB</addr-line>, <country country="ca">Canada</country></aff>
<aff id="aff11"><label>11</label><institution>Partnership for Economic Policy (PEP)</institution>, <city>Nairobi</city>, <country country="ke">Kenya</country></aff>
<aff id="aff12"><label>12</label><institution>School of Health Systems and Public Health, University of Pretoria</institution>, <city>Pretoria</city>, <country country="za">South Africa</country></aff>
<aff id="aff13"><label>13</label><institution>Department of Health Sciences, Health Sciences Institute</institution>, <city>Ouagadougou</city>, <country country="bf">Burkina Faso</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Gen&#x00E8;se Lobukulu Lolimo <email xlink:href="mailto:kennedy.lobukulu@unikin.ac.cd">kennedy.lobukulu@unikin.ac.cd</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-17"><day>17</day><month>02</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>5</volume><elocation-id>1647147</elocation-id>
<history>
<date date-type="received"><day>14</day><month>06</month><year>2025</year></date>
<date date-type="accepted"><day>29</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Lobukulu Lolimo, Khonde, Matondo, Kabele, Musawu K, Beshah, Achala, Njeri Muriithi, Adote, Zegeye, Mbachu, Ataguba, Yaya Bocoum and Manitu.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Lobukulu Lolimo, Khonde, Matondo, Kabele, Musawu K, Beshah, Achala, Njeri Muriithi, Adote, Zegeye, Mbachu, Ataguba, Yaya Bocoum and Manitu</copyright-holder><license><ali:license_ref start_date="2026-02-17">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>Introduction</title>
<p>Despite over 9.6 billion COVID-19 vaccine doses administered globally, vaccination access remains highly unequal. North America and Western Europe have over 50&#x0025; vaccination coverage, contrasting sharply with African nations, like the Democratic Republic of Congo (DRC), which has under 10&#x0025;. This scoping review explores the key factors contributing to the low COVID-19 vaccination rate in the Congolese population.</p>
</sec><sec><title>Methods</title>
<p>We conducted a scoping review using the Arksey and O&#x0027;Malley framework, searching PubMed, ProQuest, and Scopus databases for peer-reviewed manuscripts published between 2019 and 2023. Six studies met the inclusion criteria, and focused on the factors of COVID-19 vaccine acceptance, hesitancy, and access in the DRC.</p>
</sec><sec><title>Results</title>
<p>Although surveys indicated a high willingness on the part of the people to get vaccinated, only 2.7&#x0025; of the population were fully vaccinated. The primary barrier to vaccination was safety concerns, specifically, perceptions of the vaccine as new and experimental (84.4&#x0025;) and fear of side effects (83.3&#x0025;). Additional hesitancy factors included mistrust in vaccine effectiveness (60.4&#x0025;) and a general lack of confidence (60.0&#x0025;). Facilitators of acceptance included prior family vaccination, perceived risk of infection, belief in the existence of the virus, and awareness of vaccination strategies. Sociodemographic factors such as being a healthcare professional or male also positively influenced uptake.</p>
</sec><sec><title>Discussion</title>
<p>These findings highlight the gap between vaccine willingness and actual coverage in the DRC. Addressing safety concerns and building trust through targeted outreach, especially among key professional groups, may improve vaccine acceptance and equity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>acceptance</kwd>
<kwd>hesitancy</kwd>
<kwd>COVID-19 vaccine</kwd>
<kwd>DRC</kwd>
<kwd>scoping review</kwd>
</kwd-group><funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>International Development Research Centre</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="">10.13039/501100000193</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. The work was funded by the International Development Research Center (IDRC).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/><equation-count count="0"/><ref-count count="42"/><page-count count="9"/><word-count count="5486"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Health Policy and Management</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Over 9.6 billion doses of COVID-19 vaccine have been administered worldwide, yet access remains highly unequal (<xref ref-type="bibr" rid="B1">1</xref>). While countries in North America and Western Europe have achieved vaccination coverage exceeding 50&#x0025;, many African nations continue to fall behind. The World Health Organization set a global target of 70&#x0025; coverage, but most African countries, including the Democratic Republic of Congo (DRC), have fallen short. As of 2024, only 13.4&#x0025; of the Congolese population was fully vaccinated, up from 2.76&#x0025; in 2022 (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Multiple factors have contributed to this disparity. Early vaccine production and distribution favored high-income countries, limiting the access of low- and middle-income nations (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Even when the vaccine became available through initiatives like COVAX, national policies and public mistrust hindered uptake (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Other obstacles concern the rapid production of this vaccine, its efficacy, ignorance of its side effects, and fear of catching the disease after being vaccinated (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). In the DRC, skepticism about vaccine safety, fear of side effects, and limited public awareness have been widely reported, even among healthcare workers (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Although prior studies have explored vaccine hesitancy globally, few have examined the specific barriers and facilitators influencing COVID-19 vaccine uptake in the DRC. This scoping review addresses those gaps by synthesizing existing literature on vaccine acceptance, hesitancy, and access within the Congolese context. The aim is to identify key obstacles and inform strategies to improve coverage in the country.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Research design</title>
<p>We conducted a scoping review to identify barriers and facilitators influencing access and uptake of the COVID-19 vaccine in the DRC. This exploratory review was carried out following the analytical framework of Arksey and O&#x0027;Malley (<xref ref-type="bibr" rid="B18">18</xref>). Arksey and O&#x0027;Malley developed a five-step methodological model to guide researchers in conducting exploratory analyses. The following five-step model is proposed: (1) identification of research questions; (2) search for relevant studies; (3) study selection; (4) charting data; and (5) gathering, summarizing, and reporting the results (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Search strategy</title>
<p>A systematic search was conducted across three electronic databases&#x2014;PubMed, ProQuest, and Scopus&#x2014;covering publications from January 2019 to October 2023. We also performed a manual search of reference lists using Google Scholar, including sources in both English and French.</p>
<p>To enhance transparency and reproducibility the following search terms and Boolean operators were used: (&#x201C;COVID-19 vaccine&#x201D; OR &#x201C;COVID-19 vaccination&#x201D;) AND (&#x201C;Democratic Republic of Congo&#x201D; OR &#x201C;DRC&#x201D;) AND (&#x201C;vaccine hesitancy&#x201D; OR &#x201C;Vaccine acceptance&#x201D; OR &#x201C;equitable access&#x201D; OR &#x201C;barriers to access&#x201D; OR &#x201C;vaccine uptake&#x201D; OR &#x201C;vaccination strategies&#x201D;).</p>
<p>The inclusion criteria were peer-reviewed articles reporting on COVID-19 vaccine acceptance, hesitancy, access, or uptake; cross-sectional or other observational studies (case controls or cohort); quantitative, qualitative, or mixed studies; and a publishing date between January 2019 and October 2023.</p>
<p>We excluded studies without full text access as well as articles with insufficient data for extraction, editorials, letters, opinion pieces, and publications from predatory journals.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data extraction and analysis</title>
<p>We extracted data using a standardized Microsoft Excel sheet, capturing the following variables: author(s), year of publication, study setting, data collection period, study design, population characteristics, sample size, and key findings related to vaccine access and hesitancy.</p>
<p>Due to the diversity of studies, a narrative synthesis approach was used to collect, synthesize, and map the literature (<xref ref-type="bibr" rid="B19">19</xref>). The following categories were used to classify the studies: (1) patterns of access and use of COVID-19 vaccines in the DRC, (2) barriers to equitable and timely vaccine access and uptake, and (3) strategies to address vaccine hesitancy, particularly among vulnerable populations.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Study appraisal</title>
<p>Two authors independently assessed the quality of the studies included in the review. The Joanna Briggs Institute (JBI) Quality Assessment Tool was used to assess the quality of this study (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Qualitative assessment criteria were developed with parameters ranging from low quality (&#x003C;49&#x0025;) to medium (50&#x0025;&#x2013;79&#x0025;) and high quality (80&#x0025;&#x2013;100&#x0025;) for studies that analyze trends and barriers aimed at improving equitable and timely access to and use of COVID-19 vaccines in the DRC. While no studies were excluded based on quality, the appraisal informed our interpretation of the evidence. Higher-quality studies were given greater weight in the narrative synthesis, particularly when identifying key barriers and facilitators. Lower-quality studies were included but interpreted with caution, and their limitations were noted in the discussion (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Study selection</title>
<p>In the initial search, 430 articles were identified from searches on the databases PubMed (<italic>n</italic>&#x2009;&#x003D;&#x2009;108), Scopus (<italic>n</italic>&#x2009;&#x003D;&#x2009;71), and ProQuest (<italic>n</italic>&#x2009;&#x003D;&#x2009;251). We used EndNote and removed around 255 duplicate articles. After removing duplicates, 175 articles were screened by titles and abstracts using the Rayyan software. In total, 160 articles were excluded due to irrelevant topics, failure to meet the inclusion criteria, and absence of an abstract or summary of the study. Fifteen (<italic>n</italic>&#x2009;&#x003D;&#x2009;15) studies remained for the full-text assessment for eligibility; of them, eight full-text articles were excluded (<italic>n</italic>&#x2009;&#x003D;&#x2009;9) because they did not meet the inclusion criteria, resulting in six published articles for the final analysis (<italic>n</italic>&#x2009;&#x003D;&#x2009;6), as illustrated by the PRISMA flow diagram in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>PRISMA flow diagram for inclusion process of articles in the review.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frhs-05-1647147-g001.tif"><alt-text content-type="machine-generated">Flowchart illustrating the process of selecting studies for a scoping review. Initially, 430 records were identified from databases PubMed (108), Scopus (71), and ProQuest (251). After removing 255 duplicates using EndNote, 175 records were screened by titles and abstracts with Rayyan, excluding 160 for irrelevant topics, unmet inclusion criteria, or absent abstracts. Fifteen full-text articles were assessed for eligibility, excluding nine for unmet inclusion criteria. Ultimately, six studies were included in the review. The stages are visually organized in columns labeled \"Identification,\" \"Screening,\" \"Eligibility,\" and \"Included,\" with arrows indicating the flow between steps.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3b"><label>3.2</label><title>Characteristics of included studies</title>
<p>All six studies employed quantitative methods: Five studies used a cross-sectional design (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>) and one used a cohort design (<xref ref-type="bibr" rid="B26">26</xref>). Sample sizes ranged from 348 to 1,195 participants. All studies were conducted in urban or semi-urban (rural) settings within the DRC and focused on vaccine acceptance, hesitancy, or access (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Characteristics of included studies.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Reference</th>
<th valign="top" align="center" rowspan="2">Title</th>
<th valign="top" align="center" rowspan="2">Year of publication</th>
<th valign="top" align="center" rowspan="2">Study framework (country)</th>
<th valign="top" align="center" rowspan="2">Data collection period</th>
<th valign="top" align="center" colspan="3">Methodology</th>
</tr>
<tr>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">Target population</th>
<th valign="top" align="center">Sample size</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Bateyi Mustafa et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Determinants of parents&#x2019; intention to vaccinate their children aged 12&#x2013;17&#x2005;years against COVID-19 in North Kivu (Democratic Republic of Congo)</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="left">DRC</td>
<td valign="top" align="left">1 December 2021 to 20 January 2022</td>
<td valign="top" align="left">Cross-sectional study</td>
<td valign="top" align="left">Parents of one or more children, aged 12&#x2013;17 years, who lived in North Kivu</td>
<td valign="top" align="center">522</td>
</tr>
<tr>
<td valign="top" align="left">Whitworth et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">COVID-19 vaccine acceptability among healthcare facility workers in Sierra Leone, the Democratic Republic of Congo and Uganda</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="left">DRC, Sierra Leone, and Uganda</td>
<td valign="top" align="left">23rd June to 27th July2021 in Goma</td>
<td valign="top" align="left">A multicenter cross-sectional survey</td>
<td valign="top" align="left">Healthcare facility workers</td>
<td valign="top" align="center">543 (188 in Goma, DRC)</td>
</tr>
<tr>
<td valign="top" align="left">Barrall et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Hesitancy to receive the novel coronavirus vaccine and potential influences on vaccination among a cohort of healthcare workers in the Democratic Republic of the Congo</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="left">DRC</td>
<td valign="top" align="left">Between 11 August 2020 and 25 August 2021</td>
<td valign="top" align="left">Cohort</td>
<td valign="top" align="left">Health workers vaccinated against COVID-19</td>
<td valign="top" align="center">677</td>
</tr>
<tr>
<td valign="top" align="left">Kabamba et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Acceptability of vaccination against COVID-19 among healthcare workers in the Democratic Republic of the Congo</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">Lubumbashi, Mbuji-Mayi, and Kamina in DRC</td>
<td valign="top" align="left">From 20 March through 30 April 2020</td>
<td valign="top" align="left">Cross-sectional study</td>
<td valign="top" align="left">Healthcare workers aged 18 years or older</td>
<td valign="top" align="center">613</td>
</tr>
<tr>
<td valign="top" align="left">Ditekemena et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">COVID-19 vaccine acceptance in the Democratic Republic of Congo: a cross-sectional survey</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="left">DRC</td>
<td valign="top" align="left">Between 24 August 2020 and 8 September 202</td>
<td valign="top" align="left">Cross-sectional study</td>
<td valign="top" align="left">General population</td>
<td valign="top" align="center">413</td>
</tr>
<tr>
<td valign="top" align="left">Mashako et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">COVID-19 vaccine strategy of priority groups: perception and intention among intra-hospital health care workers in DRC</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="left">DRC</td>
<td valign="top" align="left">From 1 5 March to 30 April 2021</td>
<td valign="top" align="left">Cross-sectional study</td>
<td valign="top" align="left">Healthcare workers</td>
<td valign="top" align="center">196</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3</label><title>The willingness to receive COVID-19 vaccines among Congolese people</title>
<p>Five studies reported on the willingness of Congolese individuals to receive the COVID-19 vaccine (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). This willingness varied from 27.7&#x0025; to 55.9&#x0025;, with the highest acceptance reported by Ditekemena et al. (55.9&#x0025;). Two studies also reported refusal rates: 44.1&#x0025; in Ditekemena et al. and 72.3&#x0025; in Kabamba et al. (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B23">23</xref>) as shown in <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>.</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>Intention to receive COVID-19 vaccine among participates in the DRC.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frhs-05-1647147-g002.tif"><alt-text content-type="machine-generated">Horizontal bar chart comparing willingness and refusal to vaccinate from five studies. Willingness is shown in blue and refusal in orange. Ditekemena et al. (2021) reported the highest willingness at 55.9 percent, while Kabamba et al. (2020) reported the highest refusal at 72.3 percent. The legend distinguishes between willingness and refusal.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3d"><label>3.4</label><title>Barriers to COVID-19 vaccine uptake among Congolese people</title>
<p>Three key barriers emerged across studies:
<list list-type="simple">
<list-item><label>-</label><p>Fear of side effects: This was reported by 83.3&#x0025; of respondents in the study by Mashako et al. and 84.4&#x0025; of respondents in the study by Ditekemena et al. (<xref ref-type="bibr" rid="B22">22</xref>).</p></list-item>
<list-item><label>-</label><p>Perceived ineffectiveness: 60.4&#x0025; of respondents in the Kabamba et al. study believed the vaccine would not work (<xref ref-type="bibr" rid="B23">23</xref>).</p></list-item>
<list-item><label>-</label><p>Lack of trust in the vaccine: 60.0&#x0025; of respondents in the Ditekemena et al. study expressed general mistrust of the vaccine (<xref ref-type="bibr" rid="B17">17</xref>) (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>).</p></list-item>
</list></p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>Reasons of refusal of COVID-19 vaccines among the Congolese people.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frhs-05-1647147-g003.tif"><alt-text content-type="machine-generated">Horizontal bar chart titled \"Reasons for Vaccine Refusal\" displaying percentages for each reason, with \"Concerns New/experimental vaccine\" at 84.4 percent and \"Fear of Side effects\" at 83.3 percent as the top reasons; all other reasons are below 61 percent, such as \"Do not trust vaccine\" at 60 percent and \"Vaccine may not work/give COVID-19\" at 60.4 percent, with a color-coded legend identifying each reason.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3e"><label>3.5</label><title>Facilitators of COVID-19 vaccine uptake</title>
<p>Several factors were associated with an increased likelihood of receiving the vaccination:
<list list-type="simple">
<list-item><label>-</label><p>Family history of vaccination: Individuals with vaccinated family members were more likely to accept the vaccine.</p></list-item>
<list-item><label>-</label><p>Perceived susceptibility: Higher perceived risk of infection within the family increased vaccine uptake (<xref ref-type="bibr" rid="B25">25</xref>).</p></list-item>
<list-item><label>-</label><p>Belief in the existence of the COVID-19 virus: Belief in the existence of the COVID-19 virus was associated with higher acceptance of the vaccine in the study by Ditekemena et al.</p></list-item>
<list-item><label>-</label><p>Knowledge of vaccination strategy and the priority groups: Knowledge of the vaccination strategy and awareness of the priority groups were identified as facilitators by Mashako et al. (<xref ref-type="bibr" rid="B22">22</xref>).</p></list-item>
<list-item><label>-</label><p>Positive attitude toward COVID-19 prevention: A positive attitude toward the prevention of the COVID-19 virus was influential in vaccine acceptance as highlighted by Kabamba et al.</p></list-item>
</list>These findings are summarized in <xref ref-type="fig" rid="F4">Figure 4</xref>.</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>Factors associated to Uptake COVID-19 vaccines in DRC.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frhs-05-1647147-g004.tif"><alt-text content-type="machine-generated">Forest plot graphic showing odds ratios and ninety-five percent confidence intervals for factors associated with COVID-19 vaccine uptake in the Democratic Republic of Congo. Factors include knowledge, occupation, gender, income, attitudes, and prior experiences, with pink squares representing adjusted odds ratios and blue lines marking confidence intervals.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3f"><label>3.6</label><title>Sociodemographic influences</title>
<p>Two studies identified sociodemographic factors influencing vaccine uptake:
<list list-type="simple">
<list-item><label>-</label><p>Healthcare profession: Doctors and nurses were significantly more likely to accept vaccination (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p></list-item>
<list-item><label>-</label><p>Gender: Male healthcare workers showed a higher acceptance rate compared to females.</p></list-item>
</list>These findings are summarized in <xref ref-type="fig" rid="F4">Figure 4</xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This scoping review aimed to investigate the factors contributing to the low COVID-19 vaccination rate in the DRC. Six peer-reviewed studies were analyzed, primarily cross-sectional in design, with five rated as high quality and one as medium using the JBI Quality Assessment Tool.</p>
<sec id="s4a"><label>4.1</label><title>The willingness to receive COVID-19 vaccine</title>
<p>Five studies reported on vaccine willingness among the Congolese populations, with rates ranging from 27.7&#x0025; to 55.9&#x0025;. Despite the expressed willingness to be vaccinated against the COVID-19 virus, only 2.7&#x0025; of the Congolese population was completely vaccinated at the time of data collection (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>These figures contrast sharply with neighboring and regional countries. For instance, Kenya reported a willingness rate of 95.1&#x0025; (<xref ref-type="bibr" rid="B27">27</xref>), Nigeria between 50.2&#x0025; and 80.9&#x0025; (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>), and Zimbabwe reported 55.7&#x0025; (<xref ref-type="bibr" rid="B30">30</xref>). Ethiopia, however, showed a similarly low rate of 29.2&#x0025; (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Significantly, most DRC studies focused on healthcare workers, who tend to have higher vaccine acceptance than the general population. A study in Guinea found that 65&#x0025; of healthcare workers were vaccinated compared to 31&#x0025; of the general population (<xref ref-type="bibr" rid="B32">32</xref>). This suggests that vaccine willingness in the broader Congolese population may be even lower than reported.</p>
</sec>
<sec id="s4b"><label>4.2</label><title>Factors influencing COVID-19 vaccine uptake</title>
<p>Facilitators of vaccine uptake in DRC included family history of vaccination, perceived susceptibility to the COVID-19 virus, fear of infection, belief in the existence of COVID-19, and awareness of vaccination strategies and priority groups.</p>
<p>Sociodemographic factors such as being a physician, nurse, or male healthcare worker, and having higher education levels were also associated with increased acceptance (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B26">26</xref>). This situation can be attributed to increased knowledge of the COVID-19 disease and its vaccine. These findings align with the results of studies in Ghana and Italy, where education, perceived risk, and social influence (e.g., seeing others receive vaccination) were key motivators (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Barriers to vaccine uptake</title>
<p>Barriers to vaccination in the DRC were consistent across studies: (i) fear of side effects (reported by over 80&#x0025; of respondents), (ii) mistrust in vaccine safety and efficacy, (iii) concerns about the vaccine being new or experimental, and (iv) limited public confidence in health authorities (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Since the end of our review period (2019&#x2013;2023), several studies published in 2024&#x2013;2025 have confirmed the persistence of previously identified barriers to COVID-19 vaccination uptake in the DRC, including distrust in health authorities and the vaccine, female gender, doubts about the effectiveness of the vaccine, and fear of side effects (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>)</p>
<p>Similar concerns were reported in Ethiopia (hesitancy rate: 70.8&#x0025;) (<xref ref-type="bibr" rid="B31">31</xref>) and Tanzania (63.3&#x0025;) (<xref ref-type="bibr" rid="B27">27</xref>). Ackah et al. highlighted misinformation, media contradictions, and pharmaceutical shortages as additional barriers (<xref ref-type="bibr" rid="B41">41</xref>). Fern&#x00E1;ndez-S&#x00E1;nchez et al. emphasized mistrust and limited trust among the migrant population (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>In the DRC, vaccine hesitancy was further exacerbated by rumors, misinformation, and a lack of transparent communication during the early stages of the vaccination campaign. Toure et al. reported that in Guinea, distrust in the government was a major barrier to vaccine uptake (<xref ref-type="bibr" rid="B32">32</xref>).</p>
</sec>
<sec id="s4d"><label>4.4</label><title>Theoretical framework: understanding hesitancy</title>
<p>To contextualize these findings, vaccine hesitancy in the DRC can be interpreted through the lens of the Health Belief Model (HBM) and Trust Theory. The HBM states that individuals are more likely to engage in health behaviors (e.g., vaccination) when they perceive a threat, believe in the efficacy of the intervention, and feel confident in their ability to act. In the DRC, low perceived threat, doubts about vaccine efficacy, and limited trust in health systems undermine these conditions.</p>
<p>Trust Theory further explains how institutional trust, particularly in government and health authorities, shapes public compliance. In contexts where trust is fragile or eroded by misinformation, vaccine campaigns face significant resistance. This underscores the need for transparent communication, community engagement, and culturally sensitive messaging to rebuild trust and improve vaccine uptake.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>This scoping review identified key factors contributing to COVID-19 vaccine hesitancy in the DRC, including lack of confidence in the vaccine development process, concerns about safety and effectiveness, and limited public awareness. Strengthening public trust and improving health literacy are essential not only for COVID-19 vaccination but also for future immunization campaigns targeting diseases such as Ebola, malaria, measles, yellow fever, and Mpox. This is particularly significant as the country faces the Mpox disease and anticipates a large-scale vaccination campaign by the Ministry of Public Health and the government.</p>
<p>To address these challenges, we recommend that the Ministry of Public Health, in collaboration with local health authorities, international NGOs, and community-based organizations, implement the following target interventions:
<list list-type="simple">
<list-item><label>-</label><p>community engagement programs to address misinformation and build trust;</p></list-item>
<list-item><label>-</label><p>training for health workers to serve as vaccine ambassadors;</p></list-item>
<list-item><label>-</label><p>culturally tailored communication strategies to promote vaccine benefits; and</p></list-item>
<list-item><label>-</label><p>integration of vaccine education into schools and media platforms.</p></list-item>
</list>In addition, we propose conducting qualitative studies involving key stakeholders such as health workers, community leaders, and policymakers to better understand the social and structural barriers to vaccine access and acceptance.</p>
<sec id="s5a"><label>5.1</label><title>Limitations</title>
<p>This scoping review was limited by the small number of eligible studies (<italic>n</italic>&#x2009;&#x003D;&#x2009;6), which may affect the generalizability of findings. Most studies involved in this review focused on health workers, potentially overlooking perspectives from the general population. Furthermore, the reliance on cross-sectional designs limits causal interpretation. These constraints highlight the need for more diverse and longitudinal research to inform equitable vaccine strategies in the DRC.</p>
</sec>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>GL: Validation, Formal analysis, Writing &#x2013; review &#x0026; editing, Supervision, Methodology, Investigation, Writing &#x2013; original draft, Conceptualization, Visualization, Resources, Software, Data curation. RK: Formal analysis, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation, Investigation, Methodology. HM: Methodology, Writing &#x2013; original draft, Data curation, Investigation, Validation, Formal analysis. JK: Data curation, Methodology, Validation, Writing &#x2013; review &#x0026; editing, Formal analysis. YM: Formal analysis, Data curation, Validation, Writing &#x2013; review &#x0026; editing. SB: Supervision, Data curation, Writing &#x2013; review &#x0026; editing. DA: Writing &#x2013; review &#x0026; editing, Supervision, Funding acquisition, Project administration. GN: Resources, Project administration, Writing &#x2013; review &#x0026; editing, Funding acquisition. EA: Resources, Writing &#x2013; review &#x0026; editing, Funding acquisition, Project administration. EZ: Project administration, Supervision, Conceptualization, Writing &#x2013; review &#x0026; editing. CM: Resources, Project administration, Conceptualization, Writing &#x2013; review &#x0026; editing. JA: Validation, Project administration, Writing &#x2013; review &#x0026; editing. FY: Supervision, Writing &#x2013; review &#x0026; editing, Visualization, Data curation, Writing &#x2013; original draft, Validation. SM: Validation, Supervision, Data curation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" 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="s10" 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="s11" 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>
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<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/1259886/overview">Simon Bailey</ext-link>, University of Kent, United Kingdom</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/2746412/overview">Raman Kaur</ext-link>, Reed Elsevier, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2107870/overview">Clement Arthur</ext-link>, First Hospital of Shanxi Medical University, China</p></fn>
</fn-group>
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</article>