接种疫苗
计划行为理论
健康信念模型
大流行
人口
医学
2019年冠状病毒病(COVID-19)
环境卫生
公共卫生
免疫学
健康促进
计算机科学
控制(管理)
护理部
疾病
病理
人工智能
传染病(医学专业)
作者
Lauren Tostrud,Julia Thelen,Anna Palatnik
标识
DOI:10.1080/21645515.2022.2138047
摘要
Vaccination has proven to be the most effective tool in controlling the COVID-19 pandemic. While pregnant individuals are considered to be a high-risk population and are more likely to experience adverse effects from COVID-19, vaccination rates among pregnant individuals are significantly lower than in the general population. The Health Belief Model (HBM), Theory of Planned Behavior (TPB), 3C model, 5C model, and 5A model have been used to assess vaccination hesitancy behaviors. In this paper, we review the use of each of these models to address vaccine hesitancy, with a focus on the pregnant population and the COVID-19 vaccine. The HBM, TPB, 3C model, and 5C model have demonstrated great versatility in their ability to evaluate, explain, and modify vaccine hesitancy and behavior. Up to date, the HBM and 3C models appear to be the most effective models to study and address vaccination hesitancy within the pregnant persons.
科研通智能强力驱动
Strongly Powered by AbleSci AI