Post-lockdown infection rates of COVID-19 following the reopening of public businesses
Post-lockdown infection rates of COVID-19 following the reopening of public businesses
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DOI：
10.1093/pubmed/fdab325
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发表时间：
2021-08-23
影响因子：
4.4
通讯作者：
Duncan, Dominique
中科院分区：
文献类型：
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作者：
Bruckhaus, Alexander;Martinez, Aubrey;Duncan, Dominique
背景2019冠状病毒病（COVID-19）大流行令美国各地的无数政府下令关闭企业，以努力减缓病毒的传播。本研究旨在探讨疫情期间政府实施的公共事业重新开放卫生政策的意义及其对县级感染率的影响。方法本研究选择了截至2020年11月4日报告至少20 000例病例的83个美国县（n = 83）。记录了企业（餐馆、酒吧、零售店、健身房、沙龙/理发店和公立学校）部分和全部重新开业的日期，以及每个企业重新开业后第1天和第14天的感染率。进行回归分析，以推断感染率14天变化与口罩使用频率、家庭收入中位数、人口密度和社交距离之间的潜在关联。平均而言，随着企业重新开业，感染率显著上升。与部分重新开业的企业（感染率= +0.0454）相比，完全重新开业的企业（感染率= +0.100）的感染率平均14天变化更高。两种分布的P值为0.001692，表明具有统计学意义（P < 0.01）。结论本研究为深入了解COVID-19的传播提供了见解，并促进了疾病预防和社区卫生的循证决策。
Background The Coronavirus Disease 2019 (COVID-19) pandemic warranted a myriad of government-ordered business closures across the USA in efforts to mitigate the spread of the virus. This study aims to discover the implications of government-enforced health policies of reopening public businesses amidst the pandemic and its effect on county-level infection rates. Methods Eighty-three US counties (n = 83) that reported at least 20 000 cases as of 4 November 2020 were selected for this study. The dates when businesses (restaurants, bars, retail, gyms, salons/barbers and public schools) partially and fully reopened, as well as infection rates on the 1st and 14th days following each businesses' reopening, were recorded. Regression analysis was conducted to deduce potential associations between the 14-day change in infection rate and mask usage frequency, median household income, population density and social distancing. Results On average, infection rates rose significantly as businesses reopened. The average 14-day change in infection rate was higher for fully reopened businesses (infection rate = +0.100) compared to partially reopened businesses (infection rate = +0.0454). The P-value of the two distributions was 0.001692, indicating statistical significance (P < 0.01). Conclusion This research provides insight into the transmission of COVID-19 and promotes evidence-driven policymaking for disease prevention and community health.