Department of Health Services Administration, University of Alabama at Birmingham, Birmingham.
University of Alabama at Birmingham School of Health Professions, Birmingham.
JAMA Netw Open. 2020 Oct 1;3(10):e2026010. doi: 10.1001/jamanetworkopen.2020.26010.
To cope with the continuing coronavirus disease 2019 (COVID-19) pandemic, state and local officials need information on the effectiveness of policies aimed at curbing disease spread, as well as state-specific characteristics, like the racial mix, associated with increased risks related to the disease.
To investigate whether state-imposed stay-at-home orders (SAHOs) and the proportion of African American population in a state were associated with the state-level COVID-19 cases.
DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used daily, state-level data on COVID-19 cases, tests, and fatalities from the COVID Tracking Project. Data from March 1 to May 4, 2020, for all states (except Washington state) as well as the District of Columbia were used.
The key exposure variables were state-level SAHO (1 if in place, 0 otherwise), and proportion of state population who are African American.
The primary outcome was daily cumulative COVID-19 case rates. A secondary outcome was subsequent COVID-19 fatality rates, derived using mean cumulative fatality rates 21 to 28 days after each date. Multivariate regression models were estimated.
The final sample included 3023 pooled state- and day-level observations. The mean (SD) cumulative positive case rate was 103.186 (200.067) cases per 100 000 state population, the mean (SD) cumulative test rate was 744.23 (894.944) tests per 100 000 state population, and the mean (SD) subsequent cumulative fatality rate was 12.923 (21.737) deaths per 100 000 state population. There was a negative association of SAHOs with cumulative case rates (β = -1.166; 95% CI, -1.484 to -0.847; P < .001) and subsequent fatality rates (β = -0.204; 95% CI, -0.294 to -0.113; P < .001). Estimation analyses indicated that expected cumulative case rates would have been more than 200% higher and fatality rates approximately 22% higher if there were no SAHOs, as compared with SAHOs fully in place. A higher proportion of African American population was associated with higher case rates (β = 0.045; 95% CI, 0.014 to 0.077; P = .001) and fatality rates (β = 0.068; 95% CI, 0.044 to 0.091; P < .001).
In this cross-sectional study, SAHOs were associated with reductions in COVID-19 case rates. These findings could help inform policy makers to address the continued COVID-19 pandemic in the US. The proportion of African American population was positively associated with COVID-19 case rates, and this state-level finding adds to evidence from existing ecological studies using county-level data on racial disparities in COVID-19 infection rates and underlines the urgency of better understanding and addressing these disparities.
为了应对持续的 2019 年冠状病毒病(COVID-19)大流行,州和地方官员需要了解旨在遏制疾病传播的政策的有效性,以及与疾病相关的风险增加相关的州特定特征,如种族构成。
调查州实施的就地避难令(SAHO)和州内非裔美国人的比例是否与州级 COVID-19 病例有关。
设计、地点和参与者:本横断面研究使用了 COVID-19 病例、检测和死亡的每日州级数据,来自 COVID 跟踪项目。使用了 2020 年 3 月 1 日至 5 月 4 日期间所有州(华盛顿州除外)和哥伦比亚特区的数据。
关键的暴露变量是州级 SAHO(1 为存在,0 为不存在)和州人口中非洲裔美国人的比例。
主要结果是每日累积 COVID-19 病例率。次要结果是随后的 COVID-19 死亡率,使用每个日期后 21 至 28 天的累积死亡率平均值计算得出。估计了多变量回归模型。
最终样本包括 3023 个合并的州和天级观测值。每 100000 名州人口的累积阳性病例率的平均值(SD)为 103.186(200.067)例,每 100000 名州人口的累积检测率的平均值(SD)为 744.23(894.944)例,每 100000 名州人口的随后累积死亡率的平均值(SD)为 12.923(21.737)例。SAHO 与累积病例率呈负相关(β=-1.166;95%CI,-1.484 至-0.847;P<.001)和随后的死亡率(β=-0.204;95%CI,-0.294 至-0.113;P<.001)。估计分析表明,如果没有 SAHO,预期的累积病例率将高出 200%,死亡率将高出约 22%,而 SAHO 则完全到位。非裔美国人比例较高与较高的病例率(β=0.045;95%CI,0.014 至 0.077;P=.001)和死亡率(β=0.068;95%CI,0.044 至 0.091;P<.001)有关。
在这项横断面研究中,SAHO 与 COVID-19 病例率的降低有关。这些发现可以帮助政策制定者应对美国持续的 COVID-19 大流行。非裔美国人比例与 COVID-19 病例率呈正相关,这一州级发现增加了现有使用县一级数据研究种族差异 COVID-19 感染率的生态研究证据,并强调了更好地理解和解决这些差异的紧迫性。