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COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

ABSTRACT: Coronavirus disease (COVID-19) is a global pandemic caused by the SARS-CoV-2 virus. COVID-19 vaccine is the best strategy for prevention. However, it remained the main challenge. Therefore, this systematic review and meta-analysis aimed to determine the overall pooled estimate of COVID-19 vaccine acceptance and its predictors in Ethiopia. Consequently, we have searched articles from PubMed, EMBASE, Web of Science, Google Scholar, reference lists of included studies, and Ethiopian universities' research repository. The weighted inverse variance random effects model was employed. The quality of studies and the overall variation between studies were checked through Joanna Briggs Institute (JBI) quality appraisal criteria and heterogeneity test (I²), respectively. The funnel plot and Egger's regression test were also conducted. Following that, a total of 14 studies with 6,773 participants were considered in the study and the overall pooled proportion of COVID-19 vaccine acceptance was 51.2% (95% CI: 43.9, 58.5). Having good knowledge (Odds ratio: 2.7; 95% CI: 1.1, 7.1; P.

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0.00), chronic disease (Odds ratio: 2; 95% CI: 1.3, 3.1), older age (Odds ratio: 1.8; 95% CI: 1.1, 3.0; P.

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0.02), and secondary education and above (Odds ratio: 3.3; 95% CI: 1.7, 6.7; P.

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0.00) were significantly associated with the acceptance of COVID-19 vaccine. In conclusion, Having good knowledge, chronic disease, older age, and secondary education and above were significantly associated with COVID-19 vaccine acceptance. Therefore, special attention and a strengthened awareness, education, and training about COVID-19 vaccine benefits had to be given to uneducated segments of the population.

SUBMITTER: Belay GM

PROVIDER: S-EPMC9746388 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

Belay Getaneh Mulualem GM Alemu Tewodros Getaneh TG Techane Masresha Asmare MA Wubneh Chalachew Adugna CA Assimamaw Nega Tezera NT Tamir Tadesse Tarik TT Muhye Addis Bilal AB Kassie Destaye Guadie DG Wondim Amare A Terefe Bewuketu B Tarekegn Bethlehem Tigabu BT Ali Mohammed Seid MS Fentie Beletech B Gonete Almaz Tefera AT Tekeba Berhan B Kassa Selam Fisiha SF Desta Bogale Kassahun BK Ayele Amare Demsie AD Dessie Melkamu Tilahun MT Atalell Kendalem Asmare KA

Human vaccines & immunotherapeutics 20220912 6

Coronavirus disease (COVID-19) is a global pandemic caused by the SARS-CoV-2 virus. COVID-19 vaccine is the best strategy for prevention. However, it remained the main challenge. Therefore, this systematic review and meta-analysis aimed to determine the overall pooled estimate of COVID-19 vaccine acceptance and its predictors in Ethiopia. Consequently, we have searched articles from PubMed, EMBASE, Web of Science, Google Scholar, reference lists of included studies, and Ethiopian universities' r ...[more]

PMID: 36094824

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Project description:BackgroundVaccination is the promising strategy to control the coronavirus disease 2019 (COVID-19) pandemic. However, the success of this strategy will rely mainly on the rate of vaccine acceptance among the general population. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of COVID-19 vaccine acceptance and its determinants in Ethiopia.MethodsWe searched PubMed, Scopus, Google Scholar, African Journals Online, and Web of Sciences database to retrieve related articles. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were used for this study. Funnel plot and Eggers test were done to assess publication bias. Cochrane Q-test and I2 statistic were done to chick evidence of heterogeneity. Subgroup analysis was computed based on the study region and the study population. Data were extracted using a Microsoft Excel spreadsheet and analyzed using STATA version 14 statistical software. Weighted inverse variance random effect model was run to estimate the pooled prevalence of COVID-19 vaccine acceptance.ResultsA total of 12 studies with 5,029 study participants were included. The pooled prevalence of COVID-19 vaccine acceptance in Ethiopia was 51.64% (95%CI; 43.95%-59.34%). Being male (AOR = 4.46, 1.19-16.77, I2 = 88%), having secondary and above educational status (AOR = 3.97, 1.94-8.12, I2 = 69%), good knowledge (AOR = 3.36, 1.71-6.61, I2 = 93%), and positive attitude (AOR = 5.40, 2.43-12.00, I2 = 87%) were determinants of COVID-19 vaccine acceptance in Ethiopia.ConclusionThe pooled prevalence of COVID-19 vaccine acceptance was low. Being male, having secondary and above educational status, good knowledge, and positive attitude were the determinants of COVID-19 vaccine acceptance. High level of COVID-19 vaccine acceptance among the general population is crucial to achieve herd immunity in the community. Therefore, policymakers, vaccine campaign program planners, and stakeholders should target to improve public awareness of vaccination that enhances vaccine acceptance and in turn helps to control the pandemic.

Project description:IntroductionThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda.ObjectiveThis study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia.MethodsElectronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to StataTM version 17.0 for further analysis. The presence of heterogeneity was assessed and presented using a forest plot. The subgroup analysis, meta-regression, and publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and its predictors were calculated and identified using the random effects meta-analysis model, respectively. The significant predictors identified were reported using a relative risk ratio and 95% confidence interval (CI).ResultsSeven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73).ConclusionCOVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID-19 patients in Ethiopia. COVID-19 patients with chronic diseases and comorbidities need special attention, close follow-up, and care from all stakeholders.

Project description:The World Health Organization (WHO) recommended coronavirus disease 2019 (COVID-19) booster dose vaccination after completing the primary vaccination series for individuals ≥18 years and most-at-risk populations. This study aimed to estimate the pooled proportion of COVID-19 vaccine booster dose uptake and intention to get the booster dose among general populations and healthcare workers (HCWs). We searched PsycINFO, Scopus, EBSCO, MEDLINE Central/PubMed, ProQuest, SciELO, SAGE, Web of Science, Google Scholar, and ScienceDirect according to PRISMA guidelines. From a total of 1079 screened records, 50 studies were extracted. Meta-analysis was conducted using 48 high-quality studies according to the Newcastle-Ottawa Scale quality assessment tool. Using the 48 included studies, the pooled proportion of COVID-19 vaccine booster dose acceptance among 198,831 subjects was 81% (95% confidence interval (CI): 75-85%, I2 = 100%). The actual uptake of the booster dose in eight studies involving 12,995 subjects was 31% (95% CI: 19-46%, I2 = 100%), while the intention to have the booster dose of the vaccine was 79% (95% CI: 72-85%, I2 = 100%). The acceptance of the booster dose of COVID-19 vaccines among HCWs was 66% (95% CI: 58-74%), I2 = 99%). Meta-regression revealed that previous COVID-19 infection was associated with a lower intention to have the booster dose. Conversely, previous COVID-19 infection was associated with a significantly higher level of booster dose actual uptake. The pooled booster dose acceptance in the WHO region of the Americas, which did not include any actual vaccination, was 77% (95% CI: 66-85%, I2 = 100%). The pooled acceptance of the booster dose in the Western Pacific was 89% (95% CI: 84-92%, I2 = 100), followed by the European region: 86% (95% CI: 81-90%, I2 = 99%), the Eastern Mediterranean region: 59% (95% CI: 46-71%, I2 = 99%), and the Southeast Asian region: 52% (95% CI: 43-61%, I2 = 95). Having chronic disease and trust in the vaccine effectiveness were the significant predictors of booster dose COVID-19 vaccine acceptance. The global acceptance rate of COVID-19 booster vaccine is high, but the rates vary by region. To achieve herd immunity for the disease, a high level of vaccination acceptance is required. Intensive vaccination campaigns and programs are still needed around the world to raise public awareness regarding the importance of accepting COVID-19 vaccines needed for proper control of the pandemic.

Project description:BackgroundThe development of effective vaccines was a promising tool for ending the pandemic. However, the success of a vaccination programme hinges on achieving substantial community acceptance. In Cameroon, numerous studies have investigated the level of acceptance, hesitancy, and perception of COVID-19 vaccines, with mixed results. To provide a comprehensive understanding of these parameters, this meta-analysis aimed to estimate the pooled proportion of COVID-19 vaccine acceptance, hesitancy and perception in Cameroon.MethodsA systematic search of online databases, including PubMed, Google Scholar, and ScienceDirect, was conducted to identify relevant research articles. This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The extracted data were compiled in a Microsoft Excel spreadsheet and analyzed using R statistical software (version 4.3.3). The pooled proportion of COVID-19 vaccine acceptance, hesitancy, and perception was calculated using a random-effects meta-analysis. Funnel plots, Egger's, and Begg's tests were used to assess publication bias.ResultsOf the 1,346 records identified through the database search, 20 research articles were included in the systematic review and meta-analysis. The random-effects model showed that approximately 31.21% (95% CI: 23.49-38.94) of the participants was willing to accept the COVID-19 vaccine. More than two-thirds of the population (68.49%; 95% CI: 60.65-76.34) were vaccine hesitant. Half of the participants (51.81%; 95% CI: 42.70-60.93), had a negative perception of the COVID-19 vaccine. The acceptance rate progressed from the first semester of 2021 (27.21%; 95% CI: 10.38-44.05) to the first semester of 2022 (45.56%; 95% CI: 25.00-66.12). The pooled vaccine acceptance rate was 29.29% (95% CI: 19.86-38.72) for the general population and 39.24% (95% CI: 22.84-55.64) for healthcare workers. The pooled vaccine hesitancy rate was 70.39% (95% CI: 61.30-79.80) for the general population and 57.42% (95% CI: 4.05-71.80) for healthcare workers.ConclusionAlthough progress in vaccine acceptance, targeted interventions remain necessary to address vaccine hesitancy in the country. Strategies such as enhancing access to accurate information, fostering trust in institutions, and strengthening community engagement remain crucial for increasing COVID-19 vaccine uptake.

Project description:BackgroundSince the successful development of Coronavirus Disease (COVID-19) vaccine, COVID-19 vaccination has been actively advocated all over the world. As the key population for COVID-19 vaccination, the acceptance of Healthcare Workers (HCWs) is not only related to their risk of contracting COVID-19 infection at work, but also affects the decision of the general population on COVID-19 vaccination. Currently, a series of observational studies have been conducted on the acceptance of COVID-19 vaccines among HCWs in China, but there are presently no all-inclusive reviews. Therefore, this paper reviewed to identify a reliable estimate of acceptance rate of COVID-19 vaccine among HCWs in China.MethodsWe conducted a search on PubMed, EMbase, The Cochrane Library, Web of Science, CNKI (Chinese National Knowledge Infrastructure), Wanfang Database, CBM (Chinese Biomedical Literature Database) and VIP database (Chinese Scientific Journal Database) from January 2020 to June 2022. The quality of included articles was estimated using the Newcastle-Ottawa Quality Assessment tool suitable for cross-sectional studies and STATA 16 was used for analysis, A random-effects model was used to calculate acceptance rate for COVID-19 vaccine, as well as subgroup analysis and sensitivity analysis.ResultThis review included 18 studies involving 45,760 subjects, all of which were of medium or high quality. Meta-analysis results represented that, the pooled estimated acceptance rate of COVID-19 vaccine among HCWs in China was 78% (95%CI: 73-83%), and the pooled acceptance rate in 2021 (82%, 95%CI: 78-86%) was significantly higher than that in 2020 (73%, 95%CI: 65%-81%). Subgroup analysis showed different acceptance rates for COVID-19 vaccine among HCWs with different characteristics.ConclusionThe result revealed that HCWs in China generally have a high acceptance rate of COVID-19 vaccines, but the acceptance rate varies with different characteristics of the population. Therefore, corresponding training should be carried out for HCWs with different characteristics, and they should play an exemplary and leading role in COVID-19 vaccination, so as to improve the vaccination rate of the whole population and form an immune barrier at an early date.

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COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

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COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.

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