Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, United States of America.
Department of Biostatistics, Michigan School of Public Health, Ann Arbor, MI, United States of America.
PLoS One. 2021 Nov 30;16(11):e0260151. doi: 10.1371/journal.pone.0260151. eCollection 2021.
To conduct a cross-sectional nationwide study examining how exclusion of nursing home COVID-19 cases influences the association between county level social distancing behavior and COVID-19 cases throughout the US during the early phase of the pandemic (February 2020-May 2020).
Using county-level COVID-19 data and social distancing metrics from tracked mobile devices, we investigated the impact social distancing had on a county's total COVID-19 cases (cases/100,000 people) between when the first COVID-19 case was confirmed in a county and May 31st, 2020 when most statewide social distancing measures were lifted, representing the pandemic's exponential growth phase. We created a mixed-effects negative binomial model to assess how implementation of social distancing measures when they were most stringent (March 2020-May 2020) influenced total COVID-19 cases while controlling for social distancing and COVID-19 related covariates in two scenarios: (1) when COVID-19 nursing home cases are not excluded from total COVID-19 cases and (2) when these cases are excluded. Model findings were compared to those from February 2020, a baseline when social distancing measures were not in place. Marginal effects at the means were generated to further isolate the influence of social distancing on COVID-19 from other factors and determine total COVID-19 cases during March 2020-May 2020 for the two scenarios.
Regardless of whether nursing home COVID-19 cases were excluded from total COVID-19 cases, a 1% increase in average % of mobile devices leaving home was significantly associated with a 5% increase in a county's total COVID-19 cases between March 2020-May 2020 and about a 2.5% decrease in February 2020. When the influence of social distancing was separated from other factors, the estimated total COVID-19 cases/100,000 people was comparable throughout the range of social distancing values (25%-45% of mobile phone devices leaving home between March 2020-May 2020) when nursing home COVID-19 cases were not excluded (25% of mobile phones leaving home: 163.84 cases/100,000 people (95% CI: 121.81, 205.86), 45% of mobile phones leaving home: 432.79 cases/100,000 people (95% CI: 256.91, 608.66)) and when they were excluded (25% of mobile phones leaving home: 149.58 cases/100,000 people (95% CI: 111.90, 187.26), 45% of mobile phones leaving home: 405.38 cases/100,000 people (95% CI: 243.14, 567.62)).
Exclusion of nursing home COVID-19 cases from total COVID-19 case counts has little impact when estimating the relationship between county-level social distancing and preventing COVID-19 cases with additional research needed to see whether this finding is also observed for COVID-19 growth rates and mortality.
进行一项全国性的横断面研究,考察在大流行早期(2020 年 2 月至 5 月),排除养老院 COVID-19 病例如何影响县级社会疏远行为与美国各地 COVID-19 病例之间的关联。
使用县级 COVID-19 数据和从跟踪移动设备中获取的社会疏远指标,我们调查了社会疏远对一个县的总 COVID-19 病例(每 100,000 人病例数)的影响,从该县首次确诊 COVID-19 病例开始到 2020 年 5 月 31 日,大多数州级社会疏远措施解除,这代表大流行的指数增长阶段。我们创建了一个混合效应负二项模型,以评估在社会疏远措施最严格的情况下(2020 年 3 月至 5 月)实施这些措施如何影响总 COVID-19 病例,同时控制了两种情况下的社会疏远和 COVID-19 相关协变量:(1)当 COVID-19 养老院病例不包括在总 COVID-19 病例中时,(2)当这些病例被排除时。将模型结果与 2020 年 2 月进行比较,2 月是没有实施社会疏远措施的基线。生成边缘效应均值,以进一步隔离社会疏远对 COVID-19 的影响,确定 2020 年 3 月至 5 月期间两种情况下的总 COVID-19 病例。
无论是否排除养老院 COVID-19 病例,平均每天离开家的移动设备百分比增加 1%,与 2020 年 3 月至 5 月期间该县总 COVID-19 病例增加 5%相关,与 2020 年 2 月相比减少 2.5%。当将社会疏远的影响与其他因素分开时,当不排除养老院 COVID-19 病例(2020 年 3 月至 5 月期间离开家的手机比例为 25%-45%)时,估计的总 COVID-19 病例/每 100,000 人病例数在社会疏远值的整个范围内是可比的(离开家的手机比例为 25%:163.84 例/每 100,000 人(95%CI:121.81,205.86),离开家的手机比例为 45%:432.79 例/每 100,000 人(95%CI:256.91,608.66)),当他们被排除时(离开家的手机比例为 25%:149.58 例/每 100,000 人(95%CI:111.90,187.26),离开家的手机比例为 45%:405.38 例/每 100,000 人(95%CI:243.14,567.62))。
在估计县级社会疏远与预防 COVID-19 病例之间的关系时,排除养老院 COVID-19 病例对总 COVID-19 病例计数的影响很小,需要进一步研究以确定这一发现是否也适用于 COVID-19 的增长率和死亡率。