U.S. frontline workers and COVID-19 inequities.
U.S. frontline workers and COVID-19 inequities.
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DOI：
10.1016/j.ypmed.2021.106833
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发表时间：
2021-12
影响因子：
5.1
通讯作者：
Frank R
中科院分区：
文献类型：
--
作者：
Do DP;Frank R
我们克服了大多数COVID-19数据存储库中缺乏一线工人状态信息的问题，以记录职业对美国COVID-19差异的贡献程度。我们使用来自Facebook-卡内基梅隆大学2020年9月至2021年3月进行的一项调查的100多万美国受访者的全国数据，估计了一线工作人员与非一线工作人员相比，1）在过去两周内对SARS-Cov-2检测呈阳性的可能性。扣除其他协变量，包括教育水平，县级政治环境和农村居住地，医疗保健和非医疗保健一线工作人员在整个研究期间对SARS-Cov-2检测呈阳性的几率更高。同样，非医疗一线工作者在过去14天内检测呈阳性的可能性更大。相反，医疗保健一线工作人员最近检测呈阳性的可能性较小。我们的研究结果表明，职业暴露在病毒的不均匀传播中发挥了独立的作用。特别是，与非一线工作人员相比，非医疗保健一线工作人员经历了持续更高的SARS-Cov-2检测阳性风险。除了更多的工人保护，未来的COVID-19和其他高传染性疾病应对策略必须通过更有力地认识到结构性因素（如高度分层的美国职业环境）在COVID-19大流行中所起的作用来加强。
We overcome a lack of frontline worker status information in most COVID-19 data repositories to document the extent to which occupation has contributed to COVID-19 disparities in the United States. Using national data from over a million U.S. respondents to a Facebook-Carnegie Mellon University survey administered from September 2020 to March 2021, we estimated the likelihoods of frontline workers, compared to non-frontline workers, 1) to ever test positive for SARs-Cov-2 and 2) to test positive for SARs-Cov-2 within the past two weeks. Net of other covariates including education level, county-level political environment, and rural residence, both healthcare and non-healthcare frontline workers had higher odds of having ever tested positive for SARs-Cov-2 across the study time period. Similarly, non-healthcare frontline workers were more likely to test positive in the previous 14 days. Conversely, healthcare frontline workers were less likely to have recently tested positive. Our findings suggest that occupational exposure has played an independent role in the uneven spread of the virus. In particular, non-healthcare frontline workers have experienced sustained higher risk of testing positive for SARs-Cov-2 compared to non-frontline workers. Alongside more worker protections, future COVID-19 and other highly infectious disease response strategies must be augmented by a more robust recognition of the role that structural factors, such as the highly stratified U.S. occupational landscape, have played in the uneven toll of the COVID-19 pandemic.
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DOI：
10.15585/mmwr.mm6943e3
发表时间：
2020-10-30
期刊：
MMWR. Morbidity and mortality weekly report
影响因子：
--
作者：
Kambhampati AK;O'Halloran AC;Whitaker M;Magill SS;Chea N;Chai SJ;Daily Kirley P;Herlihy RK;Kawasaki B;Meek J;Yousey-Hindes K;Anderson EJ;Openo KP;Monroe ML;Ryan PA;Kim S;Reeg L;Como-Sabetti K;Danila R;Davis SS;Torres S;Barney G;Spina NL;Bennett NM;Felsen CB;Billing LM;Shiltz J;Sutton M;West N;Schaffner W;Talbot HK;Chatelain R;Hill M;Brammer L;Fry AM;Hall AJ;Wortham JM;Garg S;Kim L;COVID-NET Surveillance Team
通讯作者：
COVID-NET Surveillance Team
影响因子：
3.7
作者：
Chen YH;Glymour M;Riley A;Balmes J;Duchowny K;Harrison R;Matthay E;Bibbins-Domingo K
通讯作者：
Bibbins-Domingo K
影响因子：
33.9
作者：
Dyal, Jonathan W.;Grant, Michael P.;Honein, Margaret A.
通讯作者：
Honein, Margaret A.
影响因子：
3.7
作者：
Fielding-Miller RK;Sundaram ME;Brouwer K
通讯作者：
Brouwer K
DOI：
10.15585/mmwr.mm6944a4
发表时间：
2020-11-06
期刊：
MMWR. Morbidity and mortality weekly report
影响因子：
--
作者：
Fisher KA;Olson SM;Tenforde MW;Feldstein LR;Lindsell CJ;Shapiro NI;Files DC;Gibbs KW;Erickson HL;Prekker ME;Steingrub JS;Exline MC;Henning DJ;Wilson JG;Brown SM;Peltan ID;Rice TW;Hager DN;Ginde AA;Talbot HK;Casey JD;Grijalva CG;Flannery B;Patel MM;Self WH;IVY Network Investigators;CDC COVID-19 Response Team
通讯作者：
CDC COVID-19 Response Team