使用Covid-19数据调查的潜在特征模型进行感知风险评估
S Bacci1, R Fabbricatore2, Maria Iannario3
1Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Firenze, Italy.
Journal of applied statistics
|August 2, 2023
概括
本研究将COVID-19的感知风险与其他健康,环境和技术风险进行比较. 调查结果显示,媒体关注和同行恐惧显著影响COVID-19风险感知.
科学领域:
- 风险感知分析 风险感知分析
- 公共卫生 公共卫生
- 环境危险 环境危险
背景情况:
- 评估公众对风险的看法对于有效的危险管理至关重要.
- COVID-19 (冠状病毒疾病2019) 提出了一个新的全球健康挑战.
- 了解比较风险感知有助于公共卫生沟通和政策.
研究的目的:
- 与其他主要危险相比,分析COVID-19的个人和社会风险.
- 确定影响COVID-19感知风险的因素.
- 检查影响COVID-19风险感知的个体特征.
主要方法:
- 使用意大利首次COVID-19封锁调查数据进行比较风险分析.
- 对多种物品的物品响应理论 (IRT) 模型来定位COVID-19风险.
- 隐性回归分析,以探索影响感知风险的个体因素.
主要成果:
- COVID-19的感知风险受其危险的知识,媒体报道和同行诱导的恐惧的影响.
- 发现特定的个体特征在塑造COVID-19风险感知方面发挥了作用.
- 该研究确定了区分COVID-19与其他评估危险的关键属性.
结论:
- 感知风险是一个复杂的构造,受特定危险属性和个别因素的影响.
- 调查结果反映了当前控制措施的充分性和公众对新媒体健康传播战略的兴趣.
- 这项研究提供了关于公众对多面风险的反应的见解.
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