ArticleFrontiers in epidemiology2023
Predictors of willingness to accept COVID-19 vaccine among adults.
Article in Frontiers in epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Factors influencing COVID-19 vaccine acceptability among household heads in northern Nigeria: a community-based cross-sectional study.BMJ open · 2025Article
- Establishment of nursing needs scale for elderly patients with urinary incontinence and its reliability and validity test.Frontiers in medicine · 2025Article
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Authors and funding
5 authors.
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Abstract
Background: Vaccines are an effective and ultimate solution that can decrease the burden of coronavirus disease 2019 worldwide. However, poor knowledge and unwillingness to accept this vaccine are key barriers to manage the COVID-19 pandemic in different countries including Ethiopia. Control of the pandemic will depend on the acceptance of coronavirus disease vaccine. However, there is a paucity of evidence on coronavirus disease vaccine acceptance in the study area. The current study was aimed to assess willingness to accept the COVID-19 vaccine and associated factors among adult clients attending Bule Hora University Teaching Hospital, West Guji Zone, southern Ethiopia. Methods: An institution-based cross-sectional study was conducted among 385 study participants selected by a systematic random sampling technique. Data was collected through observation and structured questionnaires from April 10 to May 30, 2022. The collected data was cleaned and entered into EpiData 3.1 software before being exported to SPSS 25 statistical software for analysis. Bi-variable and multi-variable binary logistic regression model was used to identify the predictors of COVID-19 vaccine acceptance. The strength of association was measured using AOR with 95% confidence interval and significance was declared at Result: Magnitude of willingness to accept coronavirus disease-19 vaccine was 67.5% (95%Cl: 63-72). Good knowledge [AOR = 2.07, (1.17-3.64)], history of chronic disease [AOR = 2.59, (1.4-4.78)], being a government employee [AOR = 2.35 (1.1-5)], having a favorable attitude [AOR = 14.15 (5.25-37.46)], and good adherence [AOR = 1.74 (1.02-2.97)] were factors that significantly associated with willingness to accept the coronavirus disease 2019 vaccine. Conclusion: Magnitude of willingness to accept the COVID-19 vaccine was considerable and needs to be improved. Knowledge, attitude, chronic illness, adherence, and being a government employee were factors that associated with willingness to accept the vaccine. Community awareness, advocacy, social mobilization and health education should be given at different levels.
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