Factors Affecting Negative Attitudes towards COVID-19 Vaccines

IF 0.1 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY
Veysel Bozkurt, Nuran Bayram Arlı, M. Ilhan, Emine Kubra Usta, B. Budak, Mine Aydemir Dev
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Abstract

The aim of this study is to examine the factors affecting negative attitudes (vaccine hesitancy and anti-vaccination) towards vaccines. Data of 4004 people were collected online. Although vaccine hesitancy and anti-vaccination attitudes are two different concepts, there is a strong positive relationship between them. In this study, explanatory factor analysis and confirmatory factor analysis are used for vaccine questions. Then, quantile regression models at 10p, 50p and 90p values were calculated separately for these two variables (vaccine hesitancy and anti-vaccination). As a result of the estimation, age, gender, education, household income, belief in conspiracy theories, political views, religious involvement are significant predictors. In addition, trust in science, doctors, the government, vaccine companies, COVID-19 vaccines and herbal treatments are other predictive variables. Negative attitudes towards vaccines are relatively higher among the poor, unemployed and socio-economically disadvantaged groups. To reduce negative attitudes towards vaccines, it is important to inform society based on the results of reliable scientific research, to follow transparent policies that will reduce the doubts in people’s minds, and to maintain effective communication policies.
影响对COVID-19疫苗消极态度的因素
本研究的目的是研究影响对疫苗消极态度(疫苗犹豫和反疫苗接种)的因素。在线收集了4004人的数据。虽然疫苗犹豫和反疫苗接种态度是两个不同的概念,但它们之间存在很强的正相关关系。本研究采用解释性因子分析和验证性因子分析对疫苗问题进行分析。然后分别计算疫苗犹豫和抗接种这两个变量在10p、50p和90p值下的分位数回归模型。结果显示,年龄、性别、教育程度、家庭收入、对阴谋论的信仰、政治观点、宗教信仰是显著的预测因子。此外,对科学、医生、政府、疫苗公司、COVID-19疫苗和草药治疗的信任也是其他预测变量。在穷人、失业者和社会经济上处于不利地位的群体中,对疫苗的消极态度相对较高。为了减少对疫苗的消极态度,重要的是要根据可靠的科学研究结果向社会通报情况,遵循将减少人们心中疑虑的透明政策,并保持有效的沟通政策。
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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来源期刊
Insan & Toplum-The Journal of Humanity & Society
Insan & Toplum-The Journal of Humanity & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
自引率
0.00%
发文量
45
审稿时长
12 weeks
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