Effectiveness of non-pharmaceutical interventions for COVID-19 in USA

被引:0
|
作者
Liu, Yuhang [1 ]
Wang, Weihao [1 ]
Wong, Weng-Kee [2 ]
Zhu, Wei [1 ]
机构
[1] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[2] Univ Calif Los Angeles, Dept Biostat, Los Angeles, CA 90095 USA
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
D O I
10.1038/s41598-024-71984-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Worldwide, governments imposed non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to contain the pandemic more effectively. We examined the effectiveness of individual NPIs in the United States during the first wave of the pandemic. Three types of analyses were performed. First, a prototypical Bayesian hierarchical model was employed to gauge the effectiveness of five NPIs and they are gathering restriction, restaurant capacity restriction, business closure, school closure, and stay-at-home order in the 42 states with over 100 deaths by the end of the wave. Second, we examined the effectiveness of the face mask mandate, the sixth and most controversial NPI by counterfactual modeling, which is a variant of the prototypical Bayesian hierarchical model allowing us to answer the question of what if the state had imposed the mandate or not. The third analysis used an advanced Bayesian hierarchical model to evaluate the effectiveness of all six NPIs in all 50 states and the District of Columbia, and thereby provide a full-scale estimation of the effectiveness of NPIs and the relative effectiveness of each NPI in the entire United States. Our results have enhanced the collective knowledge on the general effectiveness of NPIs in arresting the spread of COVID-19.
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页数:10
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