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Assessment of COVID-19 Vaccine Acceptance and Its Associated Factors during the Crisis: A Community-Based Cross-Sectional Study in Benin

Authors :
Hounkpatin, Sètondji Padonou
Clément Kakaï Glèlè
Manfred Accrombessi
Bayode Adegbite
Edouard Dangbenon
Houssaïnatou Bah
Enangnon Akogbeto
Ali Bah Chabi
Landry Kaucley
Salifou Sourakatou
Ange Dossou
Achille Batonon
Tania Bissouma-Ledjou
Benjamin
Source :
Vaccines; Volume 11; Issue 6; Pages: 1104
Publication Year :
2023
Publisher :
Multidisciplinary Digital Publishing Institute, 2023.

Abstract

Background: Having a maximum number of people vaccinated was the objective to control the COVID-19 pandemic. We report in this manuscript the factors associated with the willingness to be vaccinated against COVID-19 during the pandemic period. Methods: From April to May 2022, a community-based cross-sectional survey was performed. Participants were randomly selected from four districts in Benin (taking into account the COVID-19 prevalence). Mixed-effect logistic regression models were used to identify the variables associated with COVID-19 vaccine acceptance. Results: A total of 2069 participants were included. The proportion of vaccine acceptance was 43.3%. A total of 24.2% were vaccinated and showed proof of vaccination. The population’s request for vaccination was higher after the third epidemic wave. The district of residence, the education level, a fear of being infected, the channel of information, poor medical conditions, a good knowledge of the transmission mode and symptoms, and good behaviors were significantly associated with vaccine acceptance. Conclusion: The overall acceptance of the COVID-19 vaccine in the Beninese population was relatively high. However, vaccine campaigns in areas with a low acceptance as well as the disclosure of information, particularly on our knowledge of the disease and the safety, side effects, and effectiveness of the COVID-19 vaccines, should be strengthened with adapted and consistent messages.

Details

Language :
English
ISSN :
2076393X
Database :
OpenAIRE
Journal :
Vaccines; Volume 11; Issue 6; Pages: 1104
Accession number :
edsair.multidiscipl..e95ba207e21d7abb4588710c137dfe4a
Full Text :
https://doi.org/10.3390/vaccines11061104