Padonou Sètondji Géraud Roméo, Kakaï Glèlè Clément, Accrombessi Manfred, Adegbite Bayode Romeo, Dangbenon Edouard, Bah Houssaïnatou, Akogbeto Enangnon, Bah Chabi Ali Imorou, Kaucley Landry, Sourakatou Salifou, Dossou Ange, Batonon Achille, Bissouma-Ledjou Tania, Hounkpatin Benjamin
Department of Public Health, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou 01 BP 526, Benin.
Country Office, World Health Organization, Cotonou 01BP 918, Benin.
Vaccines (Basel). 2023 Jun 16;11(6):1104. doi: 10.3390/vaccines11061104.
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.
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.
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.
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.
让尽可能多的人接种疫苗是控制新冠疫情的目标。我们在本手稿中报告了疫情期间与新冠疫苗接种意愿相关的因素。
2022年4月至5月，开展了一项基于社区的横断面调查。参与者从贝宁的四个区随机选取（考虑到新冠疫情的流行情况）。采用混合效应逻辑回归模型来确定与新冠疫苗接受度相关的变量。
共纳入2069名参与者。疫苗接受率为43.3%。共有24.2%的人接种了疫苗并出示了接种证明。第三波疫情后民众的接种需求更高。居住地区、教育水平、对感染的恐惧、信息渠道、医疗条件差、对传播方式和症状的了解程度高以及良好的行为习惯与疫苗接受度显著相关。
贝宁民众对新冠疫苗的总体接受度相对较高。然而，应加强在接受度较低地区的疫苗接种宣传活动，并传递经过调整且一致的信息，尤其是关于我们对该疾病的了解以及新冠疫苗的安全性、副作用和有效性等信息。
