COVID-19 vaccine acceptance and its associated factors in Ethiopia: A systematic review and meta-analysis
Bibliographic record
Abstract
Background: COVID-19 vaccination is considered as an effective intervention for controlling the burden of the pandemic. However, vaccine hesitation is increasing and hindering efforts targeting to reduce the burden of the COVID-19 disease. Hence, determining COVID-19 vaccine acceptance and identifying determinants that would hinder people to vaccinate against COVID-19 is crucial to effectively improve COVID-19 vaccine uptake. In Ethiopia, the pooled proportion of COVID-19 vaccine acceptance and its determinants is not well known. Thus, the aim of this study is to estimate the pooled proportion of COVID-19 vaccine acceptance and its determinants in Ethiopia. Methods: A systematic search of articles was conducted from PubMed, Scopus, Web of Science, MEDLINE, CINAHL, Science Direct and Cochrane Library. Data were extracted using a data extraction tool which was adapted from the Joanna Briggs Institute. The quality of each included primary studies was evaluated using the Newcastle-Ottawa scale tool. Data analysis was performed using STATA 14. Heterogeneity in studies was assessed using Cochrane Q and I 2 test. Publication bias was assessed using visual inspection of funnel plots and Egger's test. A random effects model was applied to determine the pooled estimates if heterogeneity was exhibited; otherwise, a fixed-effects model was used. Results: A total of 14 studies involving 6373 participants were included for the final analysis. The pooled proportion of COVID-19 vaccine acceptance in Ethiopia was 56.02% (95% CI: 47.84, 64.20). The likelihood of COVID-19 vaccine acceptance was higher among participants who had history of chronic disease (AOR = 1.33, 95% CI: 1.09, 2.97), good knowledge (AOR = 2.13, 95% CI: 1.59, 4.97), positive attitude (AOR = 2.23, 95% CI: 1.21, 4.66), good COVID-19 preventive practice (AOR = 1.97, 95% CI: 1.82, 2.12), and high perceived seriousness of COVID-19 (AOR = 3.21, 95% CI: 2.32, 5.98). Conclusion: More than half participants were willing to accept COVID-19 vaccine. Thus, awareness creation battles about the efficacy and safety of the COVID-19 vaccine should be provided to the community. Besides, policy-makers, health planners and other stakeholders should encourage COVID-19 vaccine uptake behaviors by providing trusted information. Systematic review and meta-analysis registration: PROSPERO CRD42021264708.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.136 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".