Predictors of COVID-19 Vaccines Acceptability among Egyptian Population: An On-line Cross-Sectional Study

H. Ahmed
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Abstract

Background: since COVID-19 emergence in December 2019, health systems in collaboration with scientists all over the world struggled to face this pandemic. Population acceptance of vaccination is a very important factor necessary to achieve herd immunity. This study aimed to assess the prevalence of vaccine acceptance and its predictors among the Egyptian population. Methods: An online cross-sectional study was conducted on a total sample of 846 individuals selected by using the non-probability snowball sampling technique during August and September 2021. Data was collected by An Arabic questionnaire which included data on the socio-economic characters of the participants, health-related variables, and the outcome variable (participants' vaccine acceptance). The odds ratio and 95% confidence interval were used to identify the association between vaccine acceptance and socio-demographic and health-related variables. Results : Of 846 participants, 467 accept vaccination representing 55.2% of the total sample. Vaccine acceptance was associated with a higher age group (>50 years), male gender, urban residents, educated, married, high-income individuals, and healthcare workers. Also, vaccine acceptance was associated with a history of chronic disease, fair/poor self-rated health status, negative history of COVID-19 infection, and a high perception of the infection risk. About 83.4% of vaccine refusals believed that the vaccine is not safe, while 50.7% believed it is ineffective. Conclusion: Socio-demographic and some health-related characters are significant predicators of vaccine acceptance among the population. These variables must be taken into consideration in interventions aimed to increase the population vaccination rate.
埃及人群中COVID-19疫苗可接受性的预测因素:一项在线横断面研究
背景:自2019年12月COVID-19出现以来,卫生系统与世界各地的科学家合作,努力应对这场大流行。人群接受疫苗接种是实现群体免疫的一个非常重要的必要因素。本研究旨在评估疫苗接受率及其在埃及人口中的预测因素。方法:采用非概率雪球抽样法,于2021年8月至9月对846人进行在线横断面研究。数据是通过阿拉伯语问卷收集的,其中包括参与者的社会经济特征、健康相关变量和结果变量(参与者的疫苗接受程度)的数据。比值比和95%置信区间用于确定疫苗接受度与社会人口统计学和健康相关变量之间的关联。结果:在846名参与者中,467人接受疫苗接种,占总样本的55.2%。疫苗接受程度与较高的年龄组(50 - 50岁)、男性、城市居民、受过教育、已婚、高收入人群和卫生保健工作者有关。此外,接受疫苗与慢性病史、一般/较差的自评健康状况、阴性的COVID-19感染史以及对感染风险的高度认知相关。约83.4%的拒绝接种者认为疫苗不安全,50.7%的拒绝接种者认为疫苗无效。结论:社会人口统计学和一些健康相关特征是人群疫苗接受程度的重要预测因素。在旨在提高人口疫苗接种率的干预措施中,必须考虑到这些变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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