CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA.
CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA; Public Health Law Program, Centers for Disease Control and Prevention, Atlanta, GA.
Ann Epidemiol. 2021 May;57:46-53. doi: 10.1016/j.annepidem.2021.02.006. Epub 2021 Feb 14.
Community mitigation strategies could help reduce COVID-19 incidence, but there are few studies that explore associations nationally and by urbanicity. In a national county-level analysis, we examined the probability of being identified as a county with rapidly increasing COVID-19 incidence (rapid riser identification) during the summer of 2020 by implementation of mitigation policies prior to the summer, overall and by urbanicity.
We analyzed county-level data on rapid riser identification during June 1-September 30, 2020 and statewide closures and statewide mask mandates starting March 19 (obtained from state government websites). Poisson regression models with robust standard error estimation were used to examine differences in the probability of rapid riser identification by implementation of mitigation policies (P-value< .05); associations were adjusted for county population size.
Counties in states that closed for 0-59 days were more likely to become a rapid riser county than those that closed for >59 days, particularly in nonmetropolitan areas. The probability of becoming a rapid riser county was 43% lower among counties that had statewide mask mandates at reopening (adjusted prevalence ratio = 0.57; 95% confidence intervals = 0.51-0.63); when stratified by urbanicity, associations were more pronounced in nonmetropolitan areas.
These results underscore the potential value of community mitigation strategies in limiting the COVID-19 spread, especially in nonmetropolitan areas.
社区缓解策略可能有助于降低 COVID-19 的发病率,但很少有研究从全国范围和城市规模来探讨其关联。在一项全国县级分析中,我们通过在夏季之前实施缓解政策,检查了在 2020 年夏季期间被确定为 COVID-19 发病率迅速上升(快速上升识别)的县的概率,总体上和按城市规模划分。
我们分析了 2020 年 6 月 1 日至 9 月 30 日期间快速上升识别的县级数据,以及 3 月 19 日开始的全州关闭和全州口罩强制令(从州政府网站获取)。使用具有稳健标准误差估计的泊松回归模型来检查实施缓解政策(P 值<0.05)对快速上升识别概率的差异;对县人口规模进行调整以调整关联。
与关闭时间超过 59 天的州相比,关闭时间为 0-59 天的州的县更有可能成为快速上升县,尤其是在非城市地区。在重新开放时实施全州口罩强制令的县成为快速上升县的概率降低了 43%(调整后的流行率比为 0.57;95%置信区间为 0.51-0.63);按城市规模分层时,非城市地区的关联更为明显。
这些结果强调了社区缓解策略在限制 COVID-19 传播方面的潜在价值,特别是在非城市地区。