Chronic Disease Epidemiology Department, Yale School of Public Health, Yale University, New Haven, CT, United States.
Department of Biostatistics, Michigan School of Public Health, University of Michigan, Ann Arbor, MI, United States.
JMIR Public Health Surveill. 2021 Mar 18;7(3):e21606. doi: 10.2196/21606.
Previous studies on the impact of social distancing on COVID-19 mortality in the United States have predominantly examined this relationship at the national level and have not separated COVID-19 deaths in nursing homes from total COVID-19 deaths. This approach may obscure differences in social distancing behaviors by county in addition to the actual effectiveness of social distancing in preventing COVID-19 deaths.
This study aimed to determine the influence of county-level social distancing behavior on COVID-19 mortality (deaths per 100,000 people) across US counties over the period of the implementation of stay-at-home orders in most US states (March-May 2020).
Using social distancing data from tracked mobile phones in all US counties, we estimated the relationship between social distancing (average proportion of mobile phone usage outside of home between March and May 2020) and COVID-19 mortality (when the state in which the county is located reported its first confirmed case of COVID-19 and up to May 31, 2020) with a mixed-effects negative binomial model while distinguishing COVID-19 deaths in nursing homes from total COVID-19 deaths and accounting for social distancing- and COVID-19-related factors (including the period between the report of the first confirmed case of COVID-19 and May 31, 2020; population density; social vulnerability; and hospital resource availability). Results from the mixed-effects negative binomial model were then used to generate marginal effects at the mean, which helped separate the influence of social distancing on COVID-19 deaths from other covariates while calculating COVID-19 deaths per 100,000 people.
We observed that a 1% increase in average mobile phone usage outside of home between March and May 2020 led to a significant increase in COVID-19 mortality by a factor of 1.18 (P<.001), while every 1% increase in the average proportion of mobile phone usage outside of home in February 2020 was found to significantly decrease COVID-19 mortality by a factor of 0.90 (P<.001).
As stay-at-home orders have been lifted in many US states, continued adherence to other social distancing measures, such as avoiding large gatherings and maintaining physical distance in public, are key to preventing additional COVID-19 deaths in counties across the country.
先前关于社交距离对美国 COVID-19 死亡率影响的研究主要集中在国家层面上,并未将养老院中的 COVID-19 死亡人数与 COVID-19 总死亡人数区分开来。这种方法可能会掩盖除社交距离在预防 COVID-19 死亡方面的实际效果之外,县一级社交距离行为的差异。
本研究旨在确定美国各县实施居家令期间(2020 年 3 月至 5 月),县一级社交距离行为对 COVID-19 死亡率(每 10 万人死亡人数)的影响。
我们使用美国所有县的追踪手机的社交距离数据,使用混合效应负二项式模型来估计社交距离(2020 年 3 月至 5 月期间在家外使用手机的平均比例)与 COVID-19 死亡率(当所在州报告首例 COVID-19 确诊病例时开始计算,截至 2020 年 5 月 31 日)之间的关系,同时区分养老院中的 COVID-19 死亡人数和 COVID-19 总死亡人数,并考虑社交距离和 COVID-19 相关因素(包括首例 COVID-19 确诊病例报告与 5 月 31 日之间的时间;人口密度;社会脆弱性;以及医院资源可用性)。然后,使用混合效应负二项式模型的结果生成平均值的边际效应,这有助于在计算每 10 万人 COVID-19 死亡人数的同时,将社交距离对 COVID-19 死亡人数的影响与其他协变量区分开来。
我们发现,2020 年 3 月至 5 月期间,平均每天在家外使用手机的比例增加 1%,COVID-19 死亡率就会显著增加 1.18 倍(P<.001),而 2020 年 2 月平均每天在家外使用手机的比例增加 1%,COVID-19 死亡率就会显著降低 0.90 倍(P<.001)。
随着美国许多州解除居家令,继续遵守其他社交距离措施,如避免大型集会和在公共场所保持身体距离,是防止全国各县 COVID-19 死亡人数进一步增加的关键。