Sylvester Steven M
Utah Valley University.
Soc Sci Q. 2021 Sep;102(5):2341-2359. doi: 10.1111/ssqu.12989. Epub 2021 May 25.
The spread of misinformation about COVID-19 severely influences the governments' ability to address the COVID-19 pandemic. This study explores the predictors of accurate beliefs about COVID-19 and its influence on COVID-related policy and behavior.
Data from an original survey collected by Lucid in July 2020 are used. Ordinary Least Squares regression (OLS) is used to predict accurate beliefs about COVID-19. Ordered logistic regression models are estimated to examine the relationship between COVID-19 knowledge, policy preferences, and health behavior intentions.
Ideology and education were found to have a positive effect on knowledge about COVID-19. Moreover, low levels of knowledge about COVID-19 were found to reduce support for mandatory vaccination policy and willingness to get a coronavirus vaccine when available.
These findings will help policymakers develop communication strategies for the public on the coronavirus vaccination.
关于新冠病毒疾病（COVID-19）的错误信息传播严重影响了政府应对新冠疫情的能力。本研究探讨了对COVID-19准确认知的预测因素及其对新冠相关政策和行为的影响。
使用了2020年7月由Lucid收集的一项原始调查数据。采用普通最小二乘法回归（OLS）来预测对COVID-19的准确认知。估计有序逻辑回归模型以检验COVID-19知识、政策偏好和健康行为意图之间的关系。
发现意识形态和教育对COVID-19知识有积极影响。此外，发现对COVID-19的低认知水平会降低对强制疫苗接种政策的支持以及在有新冠疫苗时接种疫苗的意愿。
这些发现将有助于政策制定者为公众制定关于新冠疫苗接种的沟通策略。
