The effect of state-level stay-at-home orders on COVID-19 infection rates
The effect of state-level stay-at-home orders on COVID-19 infection rates
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DOI：
10.1016/j.ajic.2020.05.017
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发表时间：
2020-08-01
影响因子：
4.9
通讯作者：
Weston-Farber, Elias
中科院分区：
文献类型：
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作者：
Castillo, Renan C.;Staguhn, Elena D.;Weston-Farber, Elias
国家层面的居家令受到监控，以确定其对确诊COVID-19的影响。在州级居家隔离令出台前后，对确诊病例进行了追踪。使用线性回归技术确定对数病例计数数据的斜率，并进行Meta分析以结合各州的联合收割机数据。各州的结果非常一致，支持了居家令在降低COVID-19感染率方面的有效性。(C)2020感染控制和流行病学专业人员协会，Inc.爱思唯尔公司出版All rights reserved.
State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates. (C) 2020 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.