Department of Engineering Physics, Tsinghua University, Beijing, China.
Risk Anal. 2022 Jan;42(1):40-55. doi: 10.1111/risa.13817. Epub 2021 Sep 5.
The ongoing novel coronavirus (COVID-19) epidemic has evolved into a full range of challenges that the world is facing. Health and economic threats caused governments to take preventive measures against the spread of the disease. This study aims to provide a correlation analysis of the response measures adopted by countries and epidemic trends since the COVID-19 outbreak. This analysis picks 13 countries for quantitative assessment. We select a trusted model to fit the epidemic trend curves in segments and catch the characteristics based on which we explore the key factors of COVID-19 spread. This review generates a score table of government response measures according to the Likert scale. We use the Delphi method to obtain expert judgments about the government response in the Likert scale. Furthermore, we find a significant negative correlation between the epidemic trend characteristics and the government response measure scores given by experts through correlation analysis. More stringent government response measures correlate with fewer infections and fewer waves in the infection curves. Stringent government response measures curb the spread of COVID-19, limit the number of total infectious cases, and reduce the time to peak of total cases. The clusters of the results categorize the countries into two specific groups. This study will improve our understanding of the prevention of COVID-19 spread and government response.
正在持续演变的新型冠状病毒(COVID-19)疫情已发展成全方位的挑战,全球各国均面临着健康和经济方面的威胁,各国政府已采取预防措施来阻止疾病的传播。本研究旨在分析自 COVID-19 爆发以来各国所采取的应对措施与疫情趋势之间的相关性。本分析选取了 13 个国家进行定量评估。我们选择了一个可靠的模型来分段拟合疫情趋势曲线,并根据这些特征来探索 COVID-19 传播的关键因素。根据李克特量表,本综述生成了政府应对措施的评分表。我们使用德尔菲法获得专家对李克特量表中政府应对措施的判断。通过相关性分析,我们发现疫情趋势特征与专家给出的政府应对措施评分之间存在显著的负相关关系。更严格的政府应对措施与感染人数较少和感染曲线波动较小相关。严格的政府应对措施遏制了 COVID-19 的传播,限制了总感染病例数,并减少了总病例数达到峰值的时间。聚类结果将这些国家分为两个特定的群组。本研究将增进我们对 COVID-19 传播预防和政府应对措施的理解。