Industry Sectors Highly Affected by Worksite Outbreaks of Coronavirus Disease, Los Angeles County, California, USA, March 19-September 30, 2020.

Industry Sectors Highly Affected by Worksite Outbreaks of Coronavirus Disease, Los Angeles County, California, USA, March 19-September 30, 2020.
复制标题

DOI:
10.3201/eid2707.210425
复制
发表时间:
2021
影响因子:
11.8
通讯作者:
Halai UA
Halai UA
中科院分区:
医学2区
文献类型:
--
作者:
Contreras Z;Ngo V;Pulido M;Washburn F;Meschyan G;Gluck F;Kuguru K;Reporter R;Curley C;Civen R;Terashita D;Balter S;Halai UA

文献摘要

参考文献

被引文献

相似文献

现场作业场所发生新型冠状病毒病疫情。我们使用北美行业分类系统部门和子部门分析了2020年3月19日至2020年9月30日期间在美国加利福尼亚州洛杉矶县调查的698例非住宅、非医疗保健工作场所COVID-19暴发的数据。这些疫情中近60%发生在3个部门:制造业(n = 184, 26.4%)、零售业(n = 137, 19.6%)以及运输和仓储(n = 73, 10.5%)。爆发数量最多、爆发相关病例数量最多、发病率最高的行业是制造业。此外,发病率最高的10个工业分部门中有7个属于制造业。大约70%与疫情相关的病例报告为西班牙裔。雇用更多现场工作人员的设施爆发的规模更大、时间更长。确定受影响严重的行业部门和分部门对于有针对性的公共卫生规划、外联和应对(包括确保获得疫苗)是必要的,以减轻弱势工人的COVID-19负担。
Worksites with on-site operations have experienced coronavirus disease (COVID-19) outbreaks. We analyzed data for 698 nonresidential, nonhealthcare worksite COVID-19 outbreaks investigated in Los Angeles County, California, USA, during March 19, 2020‒September 30, 2020, by using North American Industry Classification System sectors and subsectors. Nearly 60% of these outbreaks occurred in 3 sectors: manufacturing (n = 184, 26.4%), retail trade (n = 137, 19.6%), and transportation and warehousing (n = 73, 10.5%). The largest number of outbreaks and largest number and highest incidence rate of outbreak-associated cases occurred in manufacturing. Furthermore, 7 of the 10 industry subsectors with the highest incidence rates were within manufacturing. Approximately 70% of outbreak-associated case-patients reported Hispanic ethnicity. Facilities employing more on-site staff had larger and longer outbreaks. Identification of highly affected industry sectors and subsectors is necessary for targeted public health planning, outreach, and response, including ensuring vaccine access, to reduce burden of COVID-19 in vulnerable workers.
DOI: 10.3201/eid2701.203821
发表时间: 2021-01
影响因子: 11.8
作者:
Waltenburg MA;Rose CE;Victoroff T;Butterfield M;Dillaha JA;Heinzerling A;Chuey M;Fierro M;Jervis RH;Fedak KM;Leapley A;Gabel JA;Feldpausch A;Dunne EM;Austin C;Pedati CS;Ahmed FS;Tubach S;Rhea C;Tonzel J;Krueger A;Crum DA;Vostok J;Moore MJ;Kempher H;Scheftel J;Turabelidze G;Stover D;Donahue M;Thomas D;Edge K;Gutierrez B;Berl E;McLafferty M;Kline KE;Martz N;Rajotte JC;Julian E;Diedhiou A;Radcliffe R;Clayton JL;Ortbahn D;Cummins J;Barbeau B;Carpenter S;Pringle JC;Murphy J;Darby B;Graff NR;Dostal TKH;Pray IW;Tillman C;Rose DA;Honein MA;CDC COVID-;Emergency Response Team
通讯作者: Emergency Response Team
DOI: 10.1093/cid/ciaa815
发表时间: 2021-02-15
影响因子: 11.8
作者:
Tai, Don Bambino Geno;Shah, Aditya;Wieland, Mark L.
通讯作者: Wieland, Mark L.
DOI: 10.15585/mmwr.mm6918e3
发表时间: 2020-05-08
影响因子: 33.9
作者:
Dyal, Jonathan W.;Grant, Michael P.;Honein, Margaret A.
通讯作者: Honein, Margaret A.
DOI: 10.15585/mmwr.mm6933e3
发表时间: 2020-08-21
影响因子: 33.9
作者:
Bui, David P.;McCaffrey, Keegan;Dunn, Angela
通讯作者: Dunn, Angela
DOI: 10.1002/ajim.23227
发表时间: 2021-02-01
影响因子: 3.5
作者:
Hawkins, Devan;Davis, Letitia;Kriebel, David
通讯作者: Kriebel, David