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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Health Serv.</journal-id>
<journal-title>Frontiers in Health Services</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Health Serv.</abbrev-journal-title>
<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.2025.1609752</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Health Services</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>COVID-19 vaccine hesitancy in Ethiopia: a scoping review for equitable vaccine access</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Beshah</surname><given-names>Senait Aleamyehu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2882107/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Adem</surname><given-names>Jibril Bashir</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2554476/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/></contrib>
<contrib contrib-type="author"><name><surname>Degefa</surname><given-names>Mosisa Bekele</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Ayalew</surname><given-names>Melkamu</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Lakew</surname><given-names>Yohannes</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Garoma</surname><given-names>Sileshi</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Adote</surname><given-names>Elizabeth Naa Adukwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3136653/overview"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Achala</surname><given-names>Daniel Malik</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1483050/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/></contrib>
<contrib contrib-type="author"><name><surname>Muriithi</surname><given-names>Grace Njeri</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3136767/overview"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Mbachu</surname><given-names>Chinyere Ojiugo</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1037934/overview" /><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/></contrib>
<contrib contrib-type="author"><name><surname>Akazili</surname><given-names>James</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2636249/overview" /><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/></contrib>
<contrib contrib-type="author"><name><surname>Ifeanyi</surname><given-names>Chikezie</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3027343/overview" />
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Zegeye</surname><given-names>Elias Asfaw</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Nwosu</surname><given-names>Chijioke O.</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Ataguba</surname><given-names>John E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<xref ref-type="aff" rid="aff13"><sup>13</sup></xref>
<xref ref-type="aff" rid="aff14"><sup>14</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1304072/overview"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>African Health Economics and Policy Association (AfHEA)</institution>, <addr-line>Accra</addr-line>, <country>Ghana</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Health Systems Research Directorate, Ethiopian Public Health Institute</institution>, <addr-line>Addis Ababa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of Public Health, College of Health Science, Arsi University</institution>, <addr-line>Asella</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Ethiopian Ministry of Health</institution>, <addr-line>Addis Ababa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Department of Community Medicine, University of Nigeria</institution>, <addr-line>Enugu Campus</addr-line>, <country>Nigeria</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>School of Public Health, C.K. Tedam University of Technology and Applied Sciences</institution>, <addr-line>Navrongo</addr-line>, <country>Ghana</country></aff>
<aff id="aff7"><label><sup>7</sup></label><institution>Health System and Development Research, BCEPS University of Bergen, Bergen</institution>, <country>Norway</country></aff>
<aff id="aff8"><label><sup>8</sup></label><institution>Health Systems and Development Research Group, Veritas University Abuja Nigeria Catholic Secretariat Abuja</institution>, <addr-line>Abuja</addr-line>, <country>Nigeria</country></aff>
<aff id="aff9"><label><sup>9</sup></label><institution>Health Economist, Africa Centers for Disease Control and Prevention (Africa CDC), Division of Health Economics and Financing</institution>, <addr-line>Addis Ababa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff10"><label><sup>10</sup></label><institution>Department of Economics and Finance, University of the Free State</institution>, <addr-line>Bloemfontein</addr-line>, <country>South Africa</country></aff>
<aff id="aff11"><label><sup>11</sup></label><institution>Department of Community Health Sciences, Max Rady College of Medicine</institution>, <addr-line>Winnipeg, MB</addr-line>, <country>Canada</country></aff>
<aff id="aff12"><label><sup>12</sup></label><institution>Faculty of Health Sciences, University of Manitoba</institution>, <addr-line>Winnipeg, Manitoba</addr-line>, <institution>Canada</institution></aff>
<aff id="aff13"><label><sup>13</sup></label><institution>Partnership for Economic Policy (PEP)</institution>, <addr-line>Nairobi</addr-line>, <country>Kenya</country></aff>
<aff id="aff14"><label><sup>14</sup></label><institution>School of Health Systems and Public Health, University of Pretoria</institution>, <addr-line>Pretoria</addr-line>, <country>South Africa</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1516500/overview">Mohammed Noushad</ext-link>, Dar Al Uloom University, Saudi Arabia</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2746412/overview">Raman Kaur</ext-link>, Reed Elsevier (United States), United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1350781/overview">George N.Chidimbah Munthali</ext-link>, Yangtze University, China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Senait Aleamyehu Beshah <email>senaitalb@gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><label><sup>&#x2020;</sup></label><p>ORCID Senait Aleamyehu Beshah <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-0429-3643">orcid.org/0000-0002-0429-3643</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub"><day>03</day><month>09</month><year>2025</year></pub-date>
<pub-date pub-type="ecorrected"><day>05</day><month>09</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>5</volume><elocation-id>1609752</elocation-id>
<history>
<date date-type="received"><day>10</day><month>04</month><year>2025</year></date>
<date date-type="accepted"><day>14</day><month>07</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Beshah, Adem, Degefa, Ayalew, Lakew, Garoma, Adote, Achala, Muriithi, Mbachu, Akazili, Ifeanyi, Zegeye, Nwosu and Ataguba.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Beshah, Adem, Degefa, Ayalew, Lakew, Garoma, Adote, Achala, Muriithi, Mbachu, Akazili, Ifeanyi, Zegeye, Nwosu and Ataguba</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>COVID-19 vaccines are crucial for preventing severe illness from the virus. Despite their effectiveness; vaccine hesitancy, unequal access, and economic disparities hinder vaccination programs across Africa, posing significant challenges in Ethiopia.</p>
</sec><sec><title>Method</title>
<p>This scoping review followed the methodological guidelines outlined in the Joanna Briggs Institute Reviewer&#x0027;s and employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses - Extension for Scoping Reviews (PRISMA-ScR) checklist and explanation to ensure transparency. To analyze the data, we developed tailored search strategies for key databases [HINARI, PubMed, Cochrane, African Journals Online (AJOL), and Science Direct] and gray literature sources. These strategies combined controlled vocabulary and relevant keywords. A descriptive thematic analysis was then employed to identify and categorize the various findings within the included studies. The results are presented in a narrative format, summarizing the key themes and providing a clear and comprehensive overview of the current evidence base.</p>
</sec><sec><title>Results and recommendations</title>
<p>A review of 34 Ethiopian studies revealed significant COVID-19 vaccine hesitancy, with rates exceeding 50&#x0025; in over 40&#x0025; of the studies. The lowest hesitancy was found in adults from Addis Ababa (19.1&#x0025;), while the highest rates were seen among healthcare workers in Oromia (69.7&#x0025;) and pregnant women in Southwest Ethiopia (68.8&#x0025;). Factors contributing to vaccine hesitancy in Ethiopia include being female, having only primary education, residing in rural areas, younger age, limited knowledge about the vaccine, reduced trust in authorities, and misperceptions about the risk of the virus. To address this challenge effectively, policymakers should prioritize interventions that build public trust, enhance awareness of the vaccine&#x0027;s benefits, and counter misinformation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>hesitancy</kwd>
<kwd>vaccines</kwd>
<kwd>Ethiopia</kwd>
<kwd>scoping review</kwd>
</kwd-group><contract-sponsor id="cn001">International Development Research Centre (IDRC)</contract-sponsor><counts>
<fig-count count="1"/>
<table-count count="1"/><equation-count count="0"/><ref-count count="115"/><page-count count="13"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Health Policy and Management</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
</sec>
<sec id="s2" sec-type="background"><label>1</label><title>Background</title>
<p>The COVID-19 pandemic caused by the SARS-CoV-2 virus has resulted in a significant loss of human lives worldwide and posed an unparalleled global health threat (<xref ref-type="bibr" rid="B1">1</xref>). The virus is contagious, spreads easily through contact and droplets. Prevention methods like distancing, hygiene, masks, and vaccines are crucial for control (<xref ref-type="bibr" rid="B2">2</xref>). As of June 2024, there have been over 884 million COVID-19 cases globally, with over 7 million deaths (<xref ref-type="bibr" rid="B3">3</xref>) and a total of 13,595,583,125 vaccine doses have been administered globally (<xref ref-type="bibr" rid="B4">4</xref>). While new infections slowed in Africa, the WHO African region reported over 8 million cases and 200,000 deaths (<xref ref-type="bibr" rid="B5">5</xref>). In Ethiopia, between January 2020 and November 2023, there were over 500,000 confirmed cases and over 7,500 deaths (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>COVID-19 vaccines have proven highly effective in preventing symptomatic illness, with studies showing up to 95&#x0025; effectiveness (<xref ref-type="bibr" rid="B7">7</xref>). Ethiopia began vaccinations on March 13, 2021, but as of May 27, 2023, only 59 people per 100 had received at least one dose, falling short of the global average of 74&#x0025; (<xref ref-type="bibr" rid="B8">8</xref>). Vaccine hesitancy, the reluctance to get vaccinated despite availability, complex issue with many contributing factors. These factors range from demographics and political views to concerns about safety, lack of awareness, cultural beliefs, and socioeconomic considerations (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>COVID-19 vaccine hesitancy is a major hurdle, particularly in sub-Saharan Africa, where rates range from 14&#x0025; in Ethiopia to a high of 65&#x0025; in Tanzania. Several factors contribute to this hesitancy, including a history of unequal treatment in global health research, complex social and cultural beliefs, inadequate community engagement, and a general distrust in authorities (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Additionally, political influences, religious views, and a low perceived risk of contracting COVID-19 further hinder vaccine uptake in the region (<xref ref-type="bibr" rid="B13">13</xref>). Ethiopia faces a significant challenge in COVID-19 vaccination due to vaccine hesitancy, ranging from 14&#x0025; to 69&#x0025; across geographic divides, and this hesitancy stems from a combination of factors, including young age, female gender, rural residence, and limited access to information (<xref ref-type="bibr" rid="B14">14</xref>). To combat COVID-19 vaccine hesitancy and promote equitable access in Ethiopia, a multi-pronged approach is crucial. This includes developing culturally relevant educational materials, engaging trusted voices like religious leaders and community members, and addressing vaccine safety concerns through clear communication (<xref ref-type="bibr" rid="B15">15</xref>). Moreover, targeted outreach to populations with higher levels of hesitancy is crucial. Meaningful community engagement involving scientific experts plays a key role in building trust and countering misinformation (<xref ref-type="bibr" rid="B16">16</xref>). Additionally, addressing underlying factors contributing to hesitancy is key. Socio demographic factors like age, gender, and location, along with personal beliefs and access to accurate information, all play a role (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Vaccine hesitancy is a major hurdle to achieving equitable access to COVID-19 vaccines in Ethiopia (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Thus, this scoping review aimed to investigates factors contributing to hesitancy and potential mitigation strategies by understanding these barriers, researchers can design interventions that promote vaccine acceptance, particularly among vulnerable populations. Increased focus on Africa-based research and development, improved stakeholder communication, and ensuring universal trust in vaccines are all crucial aspects of a multifaceted approach to achieving vaccine equity in low- and middle-income countries.</p>
</sec>
<sec id="s3"><label>2</label><title>Method</title>
<sec id="s3a"><label>2.1</label><title>Databases and search strategy</title>
<p>This scoping review was carried out following Arksey and O&#x0027;Malley&#x0027;s methodological Framework (<xref ref-type="bibr" rid="B22">22</xref>). The framework consists of five stages: &#x201C;(1), formulating the research questions,(2), conducting a comprehensive literature search (3), selecting relevant studies (4), extracting and organizing data and (5), synthesizing and reporting the findings.&#x201D; This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) checklist (<xref ref-type="sec" rid="s12">Supplementary Table-S1</xref>) (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The literature was identified through searches of various online databases, including HINARI, PubMed, Cochrane, African Journal Online (AJOL), and gray literature sourced through Google,Google Scholar, and other internet search engines. Medical Subject Heading (Mesh), keywords, and free text search terms were used. The search was conducted using the following terms: COVID-19 &#x2016; OR Coronavirus&#x2016; OR nCoV Infection&#x2016; OR SARS-CoV-2&#x2016; OR COVID19,&#x2016; MeSH terms: COVID-19 AND Vaccine&#x2016; OR Vaccination,&#x2016; MeSH terms: COVID-19 Vaccines AND (patterns)) AND Hesitancy OR indecision OR reluctance OR skepticism OR uncertainty AND approaches OR strategy OR method AND (barriers)) OR (factors)) OR(disfavor)) OR (dislike)) AND (equitable)) OR (Fair)) AND (timely)) OR (up-to-date)) OR (disadvantaged)) OR (underprivileged)) OR (vulnerable groups)) AND (Ethiopia). The search strategy was adapted from prior scoping or systematic reviews that assessed acceptance, uptake, and obstacles to achieving equitable and timely administration of COVID-19 and other vaccines Google Scholar, and other internet search engines. Medical Subject Heading (Mesh), keywords, and free text search terms were used. The search was conducted using the following terms: COVID-19 &#x2016; OR Coronavirus&#x2016; OR nCoV Infection&#x2016; OR SARS-CoV-2&#x2016; OR COVID19,&#x2016; MeSH terms: COVID-19 AND Vaccine&#x2016; OR Vaccination, MeSH terms: COVID-19 Vaccines AND (patterns)) AND Hesitancy OR indecision OR reluctance OR skepticism OR uncertainty AND approaches OR strategy OR method AND (barriers)) OR (factors)) OR(disfavor)) OR (dislike)) AND (equitable)) OR (Fair)) AND (timely)) OR (up-to-date)) OR (disadvantaged)) OR (underprivileged)) OR (vulnerable groups)) AND (Ethiopia). The search strategy was adapted from prior scoping or systematic reviews that assessed acceptance, uptake, and obstacles to achieving equitable and timely administration of COVID-19 and other vaccines (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="s3b"><label>2.2</label><title>Eligibility criteria</title>
<p>This scoping review sought to identify effective strategies for overcoming COVID-19 vaccine hesitancy in Ethiopia. We focused on original research published between January 2020 and early December 2023, specifically including studies conducted within Ethiopia that addressed COVID-19 vaccines. Studies solely focused on the virus itself, those from outside Ethiopia, or those not primarily focused on vaccination were excluded. Additionally, studies with incomplete or non-empirical data were omitted. This rigorous selection process ensures our review reflects the changing landscape of vaccine hesitancy in Ethiopia, offering valuable insights into current disparities in vaccine acceptance.</p>
</sec>
<sec id="s3c"><label>2.3</label><title>Outcome of interest</title>
<p>This review focused on COVID-19 vaccine hesitancy in Ethiopia, exploring the factors that contribute to it and proposing strategies to reduce hesitancy.</p>
</sec>
<sec id="s3d"><label>2.4</label><title>Data extraction and processing</title>
<p>JBA and MB independently extracted data using standardized Microsoft Excel sheet to categorize themes, summarize manuscripts, and ensure accuracy through double-checking and consensus with the primary investigator (SAB) on any discrepancies. The extraction focused on three key areas: study description (authors, year, region), methodology (design, sample size), and results (<xref ref-type="bibr" rid="B26">26</xref>). This research examined five key areas related to COVID-19 vaccination in Ethiopia: (1) vaccine hesitancy levels, (2) factors contributing to hesitancy (3) advocacy approaches for vaccine equity, (4) vaccine acceptance rates, and (5) barriers and solutions for equitable and timely uptake. Thematic narratives were employed to synthesize the data (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s3e"><label>2.5</label><title>Data synthesis and analysis</title>
<p>Researchers employed a descriptive thematic analysis to categorize findings across the studies. This approach helped map the diverse strategies used in Ethiopia to promote equitable access to COVID-19 vaccines, reduce vaccine hesitancy, and ensure timely and equitable vaccine uptake. Key themes were then presented narratively, providing a comprehensive overview of the current evidence. Due to the heterogeneity of studies, a narrative synthesis approach was used to collect, synthesize, and map the literature.</p>
</sec>
<sec id="s3f"><label>2.6</label><title>Quality appraisal of the selected literature</title>
<p>All authors independently evaluated the quality of the studies included in the review. The Joanna Briggs Institute (JBI) framework was employed for assessing study quality (<xref ref-type="bibr" rid="B27">27</xref>). To evaluate the quality of evidence on factors associated with COVID-19 vaccine hesitancy and mitigation strategies in Ethiopia, we developed a scoring system. This system categorized studies as low (&#x003C;49&#x0025;), medium (50&#x0025;&#x2013;79&#x0025;), or high (80&#x0025;&#x2013;100&#x0025;) quality. To ensure the robustness and trustworthiness of our results, we implemented inter-rater reliability checks, peer reviews, and regular debriefing sessions within the research team. These iterative quality assurance measures facilitated discussions on emerging themes, refined interpretations, and ultimately enhanced the credibility of our research.</p>
</sec>
<sec id="s3g"><label>2.7</label><title>Ethics and dissemination</title>
<p>Since the data were collected from publicly available materials, this study does not require ethics approval.</p>
</sec>
<sec id="s3h"><label>2.8</label><title>Patient and public involvement</title>
<p>As this study is a scoping review, patient and public involvement (PPI) was not integrated at any stage of the research process, including the design, data collection, synthesis, reporting, or dissemination of findings.</p>
</sec>
</sec>
<sec id="s4"><label>3</label><title>Result</title>
<p>A systematic search identified 1,924 studies on COVID-19 vaccine hesitancy and mitigation strategies in Ethiopia. After removing duplicates (<italic>n</italic>&#x2009;&#x003D;&#x2009;804), 1,120 articles underwent title and abstract screening. We excluded 1,031 irrelevant studies and another 55 during full-text review (non-peer-reviewed, editorials, protocols, not on hesitancy or Ethiopia, or unavailable full text). The final analysis included 34 relevant studies. See the PRISMA flow diagram (<xref ref-type="fig" rid="F1">Figure.&#x00A0;1</xref>) for details.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flow chart of study.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="frhs-05-1609752-g001.tif"><alt-text content-type="machine-generated">Flowchart showing the research selection process. Initially, 1,648 studies were identified through a database search and 276 through other search methods, totaling 1,924. After removing duplicates, 1,120 citations were screened. Of these, 1,031 were excluded by title and abstract, leaving 89 full articles. Criteria for eligibility included reported study outcomes, observational studies, English language, and publication in peer-reviewed journals. Fifty-five articles were excluded for being conducted in different countries or not reporting outcomes. Ultimately, 34 studies were included in the final analysis.</alt-text>
</graphic>
</fig>
<sec id="s4a"><label>3.1</label><title>COVID-19 vaccine hesitancy and associated factors in Ethiopia</title>
<sec id="s4a1"><label>3.1.1</label><title>Characteristics of studies included in the review of COVID-19 hesitancy in Ethiopia</title>
<p>Our analysis of COVID-19 vaccine hesitancy in Ethiopia included 34 studies selected based on pre-defined criteria. The studies exhibited significant heterogeneity in terms of region, design, and participant demographics. The studies were conducted across different regions and administrative cities in Ethiopia, except for six studies conducted in more than one region (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). The other studies were conducted in a single region. These included ten studies in the Amhara region (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>) eight in the Southern Nations Nationalities and People (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B28">28</xref>)(SNNPR) (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>)region, five in the Oromia region (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>) one in the Sidama region (<xref ref-type="bibr" rid="B51">51</xref>) and one in the southwestern region of Ethiopia (<xref ref-type="bibr" rid="B4">4</xref>). In terms of study design and participants, twenty-three institutional-based cross-sectional studies were conducted among healthcare workers (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>) and patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>), university students and staff (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B59">59</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>) pregnant women and lactating mothers (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B59">59</xref>) and seven community-based cross-sectional studies were conducted among the general population (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B64">64</xref>) or the adult population (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Four studies were conducted as an E-survey among the general population (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B50">50</xref>) and healthcare workers (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B53">53</xref>). The total number of study participants included in the review was 18,151, with individual study sample sizes ranging from 301 (<xref ref-type="bibr" rid="B14">14</xref>) participants to 1,361 (<xref ref-type="bibr" rid="B65">65</xref>). Based on the Joanna Briggs Institute quality assessment criteria, none of the studies presented a considerable risk of bias; therefore, all were included in the review (<xref ref-type="bibr" rid="B66">66</xref>).</p>
</sec>
</sec>
<sec id="s4b"><label>3.2</label><title>COVID-19 vaccine hesitancy in Ethiopia</title>
<p>The studies included in the review reported a percentage of vaccine hesitancy ranging from 19.1&#x0025; (<xref ref-type="bibr" rid="B67">67</xref>) to 69.7&#x0025; (<xref ref-type="bibr" rid="B12">12</xref>) (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). About 42&#x0025; of the included studies reported vaccine hesitancy rates higher than 50&#x0025;. The lowest hesitancy rate of 19.1&#x0025; was reported among adults in Addis Ababa (<xref ref-type="bibr" rid="B67">67</xref>), and the highest hesitancy rate of 69.7&#x0025; was reported among healthcare providers in Oromia regional state (<xref ref-type="bibr" rid="B14">14</xref>) and followed by pregnant women (68.8&#x0025;) in south west Ethiopia (<xref ref-type="bibr" rid="B59">59</xref>) (Table-<xref ref-type="table" rid="T1">1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Studies included in the scoping review of COVID-19 vaccine hesitancy in Ethiopia.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Author</th>
<th valign="top" align="center">Title</th>
<th valign="top" align="center">Region</th>
<th valign="top" align="center">Study Design</th>
<th valign="top" align="center">Participants</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">S/S</th>
<th valign="top" align="center">Magnitude of Hesitancy (&#x0025;)</th>
<th valign="top" align="center">Quality Assessment</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Abebe et.al</td>
<td valign="top" align="left">Understanding of COVID-19 Vaccine Knowledge, Attitude, Acceptance, and Determinates of COVID-19<break/>Vaccine Acceptance Among Adult Population in Ethiopia</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">492</td>
<td valign="top" align="center">37.4</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Abetu Mehari et.al</td>
<td valign="top" align="left">Prevalence of COVID-19 Vaccine Hesitancy and Its<break/>Associated Factors among Chronic Disease Patients in a</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Patientsith Chronic Disease</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">422</td>
<td valign="top" align="center">49.5</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Adane et.al</td>
<td valign="top" align="left">Knowledge, attitudes, and perceptions of COVID-19 vaccine and refusal to receive COVID-19 vaccine among healthcare workers in northeastern Ethiopia</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Health care provider</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">404</td>
<td valign="top" align="center">36</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Aemro et.al</td>
<td valign="top" align="left">Determinants of COVID-19 vaccine hesitancy among health care workers in Amhara region referral hospitals, Northwest Ethiopia: a cross-sectional study</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">E-survey</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">440</td>
<td valign="top" align="center">45.9</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Ahmed et.al</td>
<td valign="top" align="left">Intention to receive vaccine against COVID-19 and associated factors among health professionals working at public hospitals in resource limited settings</td>
<td valign="top" align="center">Oromia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">423</td>
<td valign="top" align="center">46.9</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Alemu et.al</td>
<td valign="top" align="left">COVID-19 Vaccine Hesitancy and Its Associated Factors Among Adolescents</td>
<td valign="top" align="center">Oromia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Adolescents</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">379</td>
<td valign="top" align="center">29</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Alle et.al</td>
<td valign="top" align="left">Attitude and associated factors of COVID-19 vaccine acceptance among health professionals in Debre Tabor Comprehensive Specialized Hospital, North Central Ethiopia; 2021: cross-sectional study</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">327</td>
<td valign="top" align="center">57.7</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Angelo et.al</td>
<td valign="top" align="left">Health care workers intention to accept COVID-19 vaccine and associated factors in southwestern Ethiopia,</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">405</td>
<td valign="top" align="center">51.6</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Asres et.al</td>
<td valign="top" align="left">COVID-19 vaccines: awareness, attitude and acceptance among undergraduate University students</td>
<td valign="top" align="center">Oromia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">university students</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">387</td>
<td valign="top" align="center">45.7</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">B.Aynalem et.al</td>
<td valign="top" align="left">Factors associated with willingness to take COVID-19 vaccine among pregnant women at Gondar town, Northwest Ethiopia: A multicenter institution-based</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Pregnant women</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">510</td>
<td valign="top" align="center">58.6</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Belsti et.al</td>
<td valign="top" align="left">Willingness of Ethiopian Population to Receive COVID-19 Vaccine</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="left">E-survey</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">1,184</td>
<td valign="top" align="center">68.6</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Bereda et.al</td>
<td valign="top" align="left">Explore the reasons for SARS-CoV-2 vaccine hesitancy among healthcare workers:</td>
<td valign="top" align="center">Oromia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">422</td>
<td valign="top" align="center">69.7</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Berihun et.al</td>
<td valign="top" align="left">Acceptance of COVID-19 Vaccine and Determinant Factors Among Patients with Chronic Disease Visiting Dessie Comprehensive Specialized Hospital, Northeastern Ethiopia</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Patients with Chronic Disease</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">416</td>
<td valign="top" align="center">40.6</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Dereje et.al</td>
<td valign="top" align="left">COVID-19 vaccine hesitancy in Addis Ababa, Ethiopia: a mixed-method study</td>
<td valign="top" align="center">Addis Ababa</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">422</td>
<td valign="top" align="center">19.1</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Erega et.al</td>
<td valign="top" align="left">COVID-19 vaccine hesitancy in Ethiopia in 2021: a multicenter cross-sectional study</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Patients attending public hospitals</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">46.02</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Hailemariam et.al</td>
<td valign="top" align="left">Predictors of pregnant women&#x0027;s intention to vaccinate against coronavirus disease 2019: A facility-based cross-sectional study in southwest Ethiopia</td>
<td valign="top" align="center">South West Ethiopia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Pregnant women</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">423</td>
<td valign="top" align="center">68.7</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Handebo et.al</td>
<td valign="top" align="left">Determinant of intention to receive COVID-19 vaccine among school teachers in Gondar City, Northwest Ethiopia</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">School Teachers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">45.2</td>
<td valign="top" align="left">High</td>
</tr>
<tr>
<td valign="top" align="left">Hassen et.al</td>
<td valign="top" align="left">Understanding determinants of COVID-19 vaccine</td>
<td valign="top" align="center">Oromia</td>
<td valign="top" align="left">Institution-based</td>
<td valign="top" align="left">staffs and students</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">358</td>
<td valign="top" align="center">50</td>
<td valign="top" align="left">Medium</td>
</tr>
<tr>
<td valign="top" align="left">Kalayou et.al</td>
<td valign="top" align="left">Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">574</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Lombebo et.al</td>
<td valign="top" align="left">COVID-19 Vaccine Acceptance, Attitude, Hesitancy, and Its Associated Factors among Wolaita Sodo University Students: A Mixed-Method Study</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">University Students</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">352</td>
<td valign="top" align="center">67</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Mesele et.al</td>
<td valign="top" align="left">COVID-19 Vaccination Acceptance and Its Associated Factors in Sodo Town, Wolaita Zone, Southern Ethiopia: Cross-Sectional Study</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">415</td>
<td valign="top" align="center">54.5</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Mesfin et.al</td>
<td valign="top" align="left">Factors Associated with Intention to Receive COVID-19 Vaccine Among HIV Positive Patients Attending ART Clinic in Southwest Ethiopia</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">HIV Patients</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">398</td>
<td valign="top" align="center">66.3</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Mohammed et.al</td>
<td valign="top" align="left">COVID-19 vaccine hesitancy among Ethiopian healthcare workers</td>
<td valign="top" align="center">Addis Ababa</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">614</td>
<td valign="top" align="center">60.03</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Mose et.al</td>
<td valign="top" align="left">COVID-19 vaccine hesitancy among medical and health science students attending Wolkite University in Ethiopia</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Medical and health science students</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">420</td>
<td valign="top" align="center">41.2</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Mose et.al</td>
<td valign="top" align="left">Willingness to Receive COVID-19 Vaccine and Its Determinant Factors Among Lactating Mothers in Ethiopia: A Cross-Sectional Study</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Lactating Mothers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">630</td>
<td valign="top" align="center">39</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Muluneh et.al</td>
<td valign="top" align="left">COVID-19 Knowledge, Attitudes, and Vaccine Hesitancy in Ethiopia: A Community-Based Cross-Sectional Study</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">1361</td>
<td valign="top" align="center">64.4</td>
<td valign="top" align="left">High</td>
</tr>
<tr>
<td valign="top" align="left">Rikitu Terefa et.al</td>
<td valign="top" align="left">COVID-19 Vaccine Uptake and Associated FactorAmong Health Professionals in Ethiopia</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="left">E-survey</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">522</td>
<td valign="top" align="center">37.9</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Seboka et.al</td>
<td valign="top" align="left">Factors Influencing COVID-19 Vaccination Demand and Intent in Resource-Limited Settings: Based on Health Belief Model</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="left">E-survey</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">1,160</td>
<td valign="top" align="center">35.3</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Tadesse et.al</td>
<td valign="top" align="left">COVID-19 Vaccine Hesitancy and its Reasons in Addis Ababa, Ethiopia: A Cross-Sectional Study</td>
<td valign="top" align="center">Addis Ababa</td>
<td valign="top" align="left">A community-bas cross-sectional study</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">422</td>
<td valign="top" align="center">57.4</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Taye et.al</td>
<td valign="top" align="left">Coronavirus disease 2019 vaccine acceptance and perceived barriers among university students in northeast Ethiopia: A cross-sectional study</td>
<td valign="top" align="center">Amhara</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">university students</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">423</td>
<td valign="top" align="center">30.7</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Yilma et.al</td>
<td valign="top" align="left">COVID-19 vaccinates acceptability healthcare Workers in Ethiopia: Do we practice what we preach?</td>
<td valign="top" align="center">Ethiopia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">1,340</td>
<td valign="top" align="center">25.5</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Yohannes,et.al</td>
<td valign="top" align="left">COVID-19 vaccine hesitancy among adults in Hawass City Administration, Sidama Region, Ethiopia</td>
<td valign="top" align="center">Sidama</td>
<td valign="top" align="left">A community-based cross-sectional study</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">622</td>
<td valign="top" align="center">26.5</td>
<td valign="top" align="left">High quality</td>
</tr>
<tr>
<td valign="top" align="left">Zewude et.al</td>
<td valign="top" align="left">Willingness to Take COVID-19 Vaccine Among People Most at Risk of Exposure in Southern Ethiopia</td>
<td valign="top" align="center">SNNPR</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Teachers, bankers and drivers</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">384</td>
<td valign="top" align="center">53.9</td>
<td valign="top" align="left">Medium quality</td>
</tr>
<tr>
<td valign="top" align="left">Zewude et.al</td>
<td valign="top" align="left">Intention to Receive the Second Round of COVID-19 Vaccine Among Healthcare Workers in Eastern Ethiopia</td>
<td valign="top" align="center">Eastern Ethiopia</td>
<td valign="top" align="left">Institution-based cross-sectional study</td>
<td valign="top" align="left">Healthcare providers</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">384</td>
<td valign="top" align="center">38.4</td>
<td valign="top" align="left">High quality</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4c"><label>3.3</label><title>Factors associated with COVID-19 vaccine hesitancy in Ethiopia</title>
<p>The analysis of this review revealed the following socio-demographic factors positively linked to COVID-19 vaccines hesitancy in Ethiopia: gender (female) (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B67">67</xref>) age between 18 and 29 years (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B40">40</xref>) age greater than 49 years (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>) age less than 23 years (<xref ref-type="bibr" rid="B59">59</xref>), primary education level (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B68">68</xref>) religion (being Muslim) (<xref ref-type="bibr" rid="B69">69</xref>), rural residence (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B40">40</xref>) and region of residence in the Afar and Sidama regions (<xref ref-type="bibr" rid="B11">11</xref>). There was also a positive correlation between income level and hesitancy towards COVID-19 vaccination (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B71">71</xref>) and (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B72">72</xref>).</p>
<p>A lack of sufficient information regarding the vaccines short- and long-term safety (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B70">70</xref>), an undefined duration of vaccine protection (<xref ref-type="bibr" rid="B71">71</xref>) and (<xref ref-type="bibr" rid="B59">59</xref>) unclear information from a public health authority (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B72">72</xref>), sourcing of information from social media (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B72">72</xref>), insufficient knowledge (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B73">73</xref>) and poor attitudes toward COVID-19 vaccines (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>), a low (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B42">42</xref>) and poor adherence to COVID-19 prevention measures (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B76">76</xref>) were the most frequently studied individual factors. Additionally, negative self-efficacy, a history of perceived and confirmed COVID-19 infection (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B77">77</xref>) and family members who died from COVID-19 (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B79">79</xref>) were found to be important positive factors in vaccine hesitancy. The vaccine-specific determinants identified in the analysis included a lack of belief in COVID- 19 vaccine benefits (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B42">42</xref>), lack of trust in science to produce safe and effective vaccines (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B80">80</xref>), and concerns about vaccine safety and side effects, as well as doubts about vaccine efficacy (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B75">75</xref>). Furthermore, beliefs for using traditional medicine to prevent and cure COVID-19 have been found to be vaccine-specific factors (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B81">81</xref>).</p>
</sec>
<sec id="s4d"><label>3.4</label><title>Strategies to reduce COVID-19 vaccines hesitancy in Ethiopia</title>
<p>This scoping review identified a variety of strategies used to reduce vaccine hesitancy and improve advocacy for equity of the vaccines in Ethiopia. Among these strategies, efforts to increase awareness about the efficacy and safety of the COVID-19 vaccines, in collaboration with various health authorities and stakeholders, to design an evidence-based strategy to reduce vaccine hesitancy, reduce concerns about vaccines side effects and vaccines effectiveness; improve trust in COVID-19 vaccines products, and change beliefs regarding acquired</p>
<p>being superior to vaccination, change negative concerns about the COVID-19 vaccines and change beliefs about how to treat COVID-19 with traditional remedies were the most widely shared approaches in multiple studies (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Additionally, improving belief in COVID-19 vaccine benefits, improving knowledge of COVID-19, educating people about the vaccine, disseminating accurate information, particularly among women, changing fear of vaccine side effects and informing healthcare administrators about the widespread prevalence of COVID-19 vaccine hesitancy in the countries were widely identified approaches by the majority of the studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>For general communities, strategies such as strengthening public education using mass media about the advantages of receiving COVID-19 vaccination, providing enough information about the COVID-19 vaccine, enabling adequate preventive practices, changing fear of vaccine side effects, changing doubts about vaccines effectiveness, improving attitudes toward the COVID-19 vaccine, and motivating users to recommend the vaccine to other people were identified in multiple studies (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B75">75</xref>) Similarly, for the adult population, improving people&#x0027;s awareness of the COVID-19 vaccine, enhancing eHealth and computer literacy, and promoting awareness of the reliability of vaccine information sources, specifically designed, culturally tailored health education materials, and high levels of engagement in the vaccination process from politicians, women community leaders (Hadha sike&#x2016;) and community figure women, religious leaders, and other community members were reported by majority of studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>To reduce vaccine hesitancy and improve advocacy and equity for the vaccine among healthcare providers, improving knowledge and attitudes toward the COVID-19 vaccine and increasing trust in COVID-19 vaccine products and changing beliefs regarding acquired immunity being superior to vaccination, changing negative perceptions about the safety of COVID-19 vaccines, improving beliefs about COVID-19 vaccine benefits and providing clear information about the vaccines were reported by multiples of studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>).</p>
<p>(<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>).</p>
</sec>
</sec>
<sec id="s5" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This review provides a mapping of important studies and results on COVID-19 vaccine hesitancy and predictors in Ethiopia. It also explores strategies to encourage more people to get vaccinated fairly and on-time. The quality assessment of the included studies revealed that 27 studies were rated as high quality, 7 as moderate quality, and none as poor quality based on the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The majority of the research papers included were cross-sectional and examined a variety of population groups. The analysis is based on data from over 18,151 participants across all regions of Ethiopia. The magnitude of vaccine hesitancy ranged from 19.1&#x0025; (<xref ref-type="bibr" rid="B12">12</xref>) in Addis Ababa to 69.7&#x0025; to Oromia (<xref ref-type="bibr" rid="B4">4</xref>). Majority (58.8&#x0025;) of the included studies reported vaccine hesitancy rates lower than 50&#x0025;. The highest levels of vaccination hesitancy shown in several of the included studies contrasted with research conducted in other locations, such as Europe and the Americas (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B69">69</xref>), China (<xref ref-type="bibr" rid="B87">87</xref>) Kuwait (<xref ref-type="bibr" rid="B77">77</xref>), and the United Kingdom (<xref ref-type="bibr" rid="B88">88</xref>). This may be a direct result of disparities in vaccine access, and awareness of vaccine information between countries and region in the country. Studies showed that, people in middle- or high-income groups are more likely to get vaccinated (<xref ref-type="bibr" rid="B89">89</xref>), and inadequate financial considerations as barriers to vaccination acceptance (<xref ref-type="bibr" rid="B90">90</xref>). Even while many African governments provide free vaccinations to their citizens, the reluctance of resource- constrained communities may indicate a misunderstanding about who bears the cost. Similarly, the financial burden on such communities is likely to extend beyond the vaccine itself, including transportation to vaccination centers that may not be nearby, childcare fees, and other hurdles.</p>
<p>This review found that women in Ethiopia were more hesitant to get vaccinated than men, leading to lower vaccination rates among women. This finding aligns with a broader review of vaccine hesitancy in Africa, which reported that men were generally more likely to be (<xref ref-type="bibr" rid="B69">69</xref>) accepting of the COVID-19 vaccine (<xref ref-type="bibr" rid="B75">75</xref>). This finding also aligns with a Canadian study on COVID-19 vaccines, where women were more hesitant than men (<xref ref-type="bibr" rid="B91">91</xref>). Another study found low COVID-19 vaccine acceptance among women with primary education and unemployed women (<xref ref-type="bibr" rid="B81">81</xref>). This aligns with a global study on immunization attitudes, which reported that unemployed women were more likely to have concerns about vaccine safety and effectiveness (<xref ref-type="bibr" rid="B85">85</xref>). One possible explanation for the lower vaccine acceptance among some women might be persistent misconception of COVID-19 vaccines can cause fertility problems or birth defect (<xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>This misconception has caused many young women of childbearing age to hesitate about vaccination and not to consider being vaccinated. In fact, a systematic review of a sample of 703,004 pregnant women globally revealed a lower rate of vaccination among them than among the rest of the population (<xref ref-type="bibr" rid="B93">93</xref>).</p>
<p>Similarly, the results of this review showed that low education level was a factor associated with vaccine acceptance and marginally associated with high vaccine hesitancy. This finding is consistent with other studies conducted elsewhere (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B95">95</xref>). Education plays a significant role; in a Canadian study, individuals with less than a high school education showed lower adjusted odds of wanting to vaccinate themselves against COVID-19 compared to their counterparts (<xref ref-type="bibr" rid="B96">96</xref>). Furthermore, Black Americans with lower educational attainment are more hesitant to accept a COVID-19 vaccine (<xref ref-type="bibr" rid="B97">97</xref>). A study conducted in Latin America and the Caribbean disclosed similar findings but added that lower education influences vaccine hesitancy due to the general distrust in vaccines and the robustness of conspiracy beliefs across individuals with lower education levels (<xref ref-type="bibr" rid="B98">98</xref>). People with lower education levels and places with higher poverty rates (<xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>), such as sub-Saharan Africa (SSA), Latin America and the Caribbean rural regions, are more likely to be skeptical of vaccines and hold conspiracy theories. In these places, health promotion initiatives lack proper coverage, increasing the danger of misinformation and hence raising resistance to immunization and community mitigation strategies. It is vital to reinforce and tailor communication techniques to these demographics.</p>
<p>Tailored communication improves relevance; trust, and behavioral response, ultimately enhancing public health outcomes, for example messages targeting women should consider gender roles, health literacy, and caregiving responsibilities. Community-based communication, peer networks, and maternal health platforms can be effective channels (<xref ref-type="bibr" rid="B101">101</xref>). Content should be accessible, empathetic, and culturally sensitive. For rural communities, leveraging trusted local leaders (e.g., religious or community figures), radio broadcasts, and mobile health units is recommended due to limited internet access and health infrastructure (<xref ref-type="bibr" rid="B102">102</xref>).</p>
<p>Visual aids and local language translations also enhance message comprehension.</p>
<p>Healthcare workers respond well to evidence-based, concise, and actionable information delivered via professional platforms (e.g., WhatsApp groups, clinical bulletins, or in-service training). Peer-to-peer knowledge sharing and continuous medical education can also reinforce trust and uptake (<xref ref-type="bibr" rid="B102">102</xref>). Additionally, this review indicated that individuals living in rural areas were more reluctant to be vaccinated. Vaccination intentions would be lower in rural areas because of the low burden of the pandemic. Similarly, these findings might be explained by the idea of a certain innate immunity, by low exposure to information, or by their poor living standards compared to other parts of the nation. This finding differs from a study in Senegal, where vaccine hesitancy and refusal were linked to living in large cities (<xref ref-type="bibr" rid="B103">103</xref>). Significant differences in the likelihood of immunization in more rural areas may indicate other considerations that must be addressed when planning for COVID-19 vaccination implementation.</p>
<p>According to recent research, indigenous dwellers and those who live in rural areas are less likely to take preventive measures like wearing masks, but are more comfortable engaging in activities that require more social interaction. Given our findings, these behaviors could have severe effects for less densely populated, conservative societies s that may be resistant to present and future preventive interventions (<xref ref-type="bibr" rid="B104">104</xref>).</p>
<p>The herd immunity threshold for the virus that causes COVID-19, SARs- CoV-2, is predicted to be 55&#x0025; to 82&#x0025; (<xref ref-type="bibr" rid="B103">103</xref>), and achieving it will necessitate coordinated efforts across the country and across all administrative areas. In preparation for their involvement in COVID-19 vaccine administration, pharmacists and other providers must consider the importance of personal and community beliefs in influencing medical recommendations and subsequent actions taken to prevent the spread of infectious diseases across all regions of the country.</p>
<p>Lack of sufficient information, misinformation and poor attitude regarding vaccine safety were some of the other factors associated with vaccine hesitancy. This was consistent with studies conducted in different regions of Africa (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B105">105</xref>), Europe and America (<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B107">107</xref>). When it comes to the fear of adverse effects, the influence of disinformation, particularly on social media platforms, was noted in practically every research setting. Social media has a significant capacity to mediate the spread of disinformation in anti-vaccine efforts (<xref ref-type="bibr" rid="B108">108</xref>). Some studies (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B72">72</xref>) identified social media and, to a lesser extent, traditional media as the primary sources of erroneous information dissemination. Interestingly, despite being medical students, 91&#x0025; of the respondents in Kanyike and colleagues&#x0027; study (<xref ref-type="bibr" rid="B108">108</xref>), reported getting knowledge about COVID-19 via social media rather than health specialists. Misinformation on social media exacerbated their vaccine hesitation, despite the fact that they perceived an elevated risk as a result of their engagement in COVID-19 health interventions. As these findings demonstrate, social media has enormous power in effectively disseminating information and influencing health-seeking behaviors. These influences must be central to national programs addressing vaccination reluctance. It would entail modifying the content of campaigns to appeal to individuals more strongly than the misinformation that they so readily accept. Educational strategies emphasizing vaccine safety and efficacy have been identified in the literature as an important need to overcome misinformation and enhance compliance rates (<xref ref-type="bibr" rid="B109">109</xref>). As Zewude and Zikarge (<xref ref-type="bibr" rid="B42">42</xref>) established, vaccine hesitancy can be driven by public reaction to specific vaccines. The underlying principles in these interventions should be customized to reflect the various concerns about certain vaccines. These teaching campaigns could have a greater impact if they were targeted at those individuals identified as being most anxious about vaccination. This highlights the importance of collaboration among public health organizations, healthcare professionals, and media platforms to ensure accurate information, and to deliver programs that enhance attitudes and health literacy empowering the target population to make informed decisions.</p>
<p>Low perceived risk of getting COVID-19, distrust in science and vaccine safety, and doubts about the vaccine&#x0027;s effectiveness were also among the most important factors identified by this review. People who believed vaccination wouldn&#x0027;t protect them or might even harm their health were more likely to be hesitant or refuse the vaccine. A number of studies indicate that worries about the safety and effectiveness of vaccines seem to play a significant role in vaccine intention (<xref ref-type="bibr" rid="B110">110</xref>&#x2013;<xref ref-type="bibr" rid="B112">112</xref>). Studies emphasized the need for targeting mistrust of vaccine manufacturers and the belief that COVID-19 vaccinations will be used as targets to damage Africa (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B113">113</xref>). Respondents were skeptical since the pharmaceutical companies were foreign and scientists from their home nations were not engaged in producing the vaccines. Further longitudinal investigations will be required to supplement the findings of this research, given the advanced stages of vaccination campaigns in many countries. In order to establish equitable widespread vaccination campaigns related to COVID-19. Therefore, good communication regarding safety and efficacy and more transparency about vaccine development and distribution, including financial aspects, should be the made a cornerstone of all other measures efforts to ensure equitable and widespread vaccination campaigns especially related to COVID-19. In addition cultural beliefs, particularly the reliance on traditional medicine, significantly influence vaccine hesitancy in Ethiopia. Traditional healers are often regarded as trusted health authorities, and many communities favor herbal and spiritual remedies over biomedical interventions, which can foster skepticism toward vaccines especially when introduced without culturally sensitive engagement (<xref ref-type="bibr" rid="B114">114</xref>). Mistrust in the formal health system and the perceived efficacy of traditional practices further contribute to low vaccine uptake (<xref ref-type="bibr" rid="B115">115</xref>). To address these challenges, policy makers&#x0027; public health campaigns should collaborate with traditional healers and religious leaders to foster community trust, deliver culturally appropriate messaging, and create inclusive dialogue platforms. Utilizing local languages and storytelling can also enhance message comprehension in rural and low-literacy settings (<xref ref-type="bibr" rid="B114">114</xref>). Respecting cultural frameworks while promoting evidence-based practices is essential to improving vaccine acceptance and immunization coverage.</p>
<p>The strengths of this study include being the first to consolidate studies and key factors of COVID-19 vaccine hesitancy and its mitigation strategies in Ethiopia, aiding targeted intervention programs. The analysis provides insight into the most significant contributors to vaccine hesitancy in the country. This indicates a predominance of high-quality research in the evaluation of COVID-19 vaccine hesitancy in Ethiopia. Additionally, the strength of the study on COVID-19 vaccine acceptance in Ethiopia is the inclusion of many articles with large sample sizes, providing a comprehensive overview. However, a limitation is the lack of studies from some regions of the country such as Tigray, Afar and Somali. Additionally, there was potential selection bias due to the inclusion of only published articles but this is but this does not affect the generalizability of the study due to the high quality of the article and the adequate sample size.</p>
</sec>
<sec id="s6" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>This scoping review highlights key factors driving COVID-19 vaccine hesitancy in Ethiopia, including younger age, rural residence, low educational attainment, female gender, and individual concerns related to vaccine safety, side effects, and perceived risk. Religious and cultural beliefs further influence vaccination decisions, underscoring the need for context-specific strategies. To effectively address these challenges, policymakers should engage trusted community figures such as religious leaders and elders and implement culturally appropriate communication efforts. Recommended actions include launching targeted media campaigns via local radio and social media to dispel misinformation, training healthcare workers in risk communication and community engagement, and collaborating with grassroots organizations to deliver tailored messages to high-risk groups, particularly women, youth, and rural populations. These integrated efforts can enhance vaccine confidence and promote equitable access to immunization across the country.</p>
</sec>
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<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>SB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JA: Conceptualization, Supervision, Methodology, Writing &#x2013; review &#x0026; editing, Formal analysis. MD: Data curation, Methodology, Conceptualization, Formal analysis, Validation, Writing &#x2013; original draft. MA: Formal analysis, Validation, Supervision, Writing &#x2013; review &#x0026; editing. YL: Validation, Supervision, Writing &#x2013; review &#x0026; editing. SG: Supervision, Validation, Writing &#x2013; review &#x0026; editing. EA: Project administration, Validation, Writing &#x2013; review &#x0026; editing. DA: Conceptualization, Project administration, Supervision, Writing &#x2013; review &#x0026; editing, Validation. GM: Validation, Conceptualization, Writing &#x2013; review &#x0026; editing. CM: Writing &#x2013; original draft, Validation, Conceptualization, Methodology. JA: Methodology, Conceptualization, Writing &#x2013; review &#x0026; editing, Supervision. CI: Conceptualization, Validation, Writing &#x2013; review &#x0026; editing. EZ: Validation, Writing &#x2013; review &#x0026; editing. CN: Validation, Data curation, Formal analysis, Methodology, Writing &#x2013; review &#x0026; editing, Conceptualization, Supervision, Writing &#x2013; original draft. JEA: Supervision, Writing &#x2013; review &#x0026; editing, Data curation, Writing &#x2013; original draft, Methodology, Conceptualization, Validation.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research project under which this manuscript was written was funded by the International Development Research Centre (IDRC). The manuscript specifically did not receive any funding, while the overall project&#x0027;s funders had no role in determining the study&#x0027;s outcomes.</p>
</sec>
<sec id="s10" 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="s14" sec-type="correction-note"><title>Correction Note</title>
<p>This article has been corrected with minor changes. These changes do not impact the scientific content of the article.</p>
</sec>
<sec id="s11" 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>
</sec>
<sec id="s13" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/frhs.2025.1609752/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/frhs.2025.1609752/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/></supplementary-material>
<supplementary-material id="SD2" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table2.docx"/></supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>COVID-19, Coronavirus disease 2019<sans-serif>;IDRC, International Development and Research Centre</sans-serif>; <sans-serif>JBI, Joanna Briggs Institute; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; PRISMA-ScR, Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews; SARS-CoV-2, severe acute respiratory syndrome-related coronavirus 2; UNECA, United Nations Economic Commission for Africa; WHO, World Health Organization.</sans-serif></p></fn>
</fn-group>
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