测量与工作相关的COVID-19风险:按职业和行业比较COVID-19发病率-威斯康星州,2020年9月- 2021年5月

Ian W. Pray, B. Grajewski, Collin Morris, Komi Modji, P. DeJonge, Katherine McCoy, C. Tomasallo, Traci Desalvo, R. Westergaard, J. Meiman
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引用次数: 2

摘要

背景工作暴露在SARS-CoV-2传播中起着重要作用,但很少有研究衡量不同职业和行业的COVID-19风险。方法在2020年9月至2021年5月期间,威斯康星州卫生服务部收集了职业和行业数据,作为常规COVID-19病例调查的一部分。威斯康星州确诊或可能患有COVID-19的18-64岁成年人被分配了标准化的职业和行业代码。累积发病率对无反应进行加权,并使用2020年美国社区调查中的全职等效(FTE)劳动力分母计算。结果从2020年9月到2021年5月,威斯康星州18-64岁的工人中估计有11.6%(298万人中的347,013人)感染了COVID-19。按职业划分,发病率最高的是个人护理和服务工作者(每100个全职当量)(22.4)、保健从业人员和支助人员(20.7)以及防护服务工作者(20.7)。高危群体包括护理助理和个人护理助手(28.8),保姆(25.8),食品和饮料服务工人(25.3),(24.4),个人形象工人和执法人员(24.1)。按行业划分,发病率最高的是医疗保健(18.6);风险最高的细分行业是护理设施(30.5)和仓储(28.5)。结论该分析是迄今为止按职业和行业划分的COVID-19发病率最完整的检查之一。我们的方法证明了公共卫生标准化职业数据收集的价值,并可能成为其他地方改进职业监测的模型。暴露于SARS-CoV-2风险较高的工人可能受益于有针对性的工作场所COVID-19疫苗接种和缓解措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring work-related risk of COVID-19: comparison of COVID-19 incidence by occupation and industry – Wisconsin, September 2020-May 2021
Abstract Background Work-related exposures play an important role in SARS-CoV-2 transmission, yet few studies have measured the risk of COVID-19 across occupations and industries. Methods During September 2020 – May 2021, the Wisconsin Department of Health Services collected occupation and industry data as part of routine COVID-19 case investigations. Adults aged 18-64 years with confirmed or probable COVID-19 in Wisconsin were assigned standardized occupation and industry codes. Cumulative incidence rates were weighted for non-response and calculated using full-time equivalent (FTE) workforce denominators from the 2020 American Community Survey. Results An estimated 11.6% of workers (347,013 of 2.98 million) in Wisconsin, ages 18-64 years, had COVID-19 from September 2020 to May 2021. The highest incidence by occupation (per 100 full-time equivalents) occurred among personal care and services workers (22.4), healthcare practitioners and support staff (20.7), and protective services workers (20.7). High risk sub-groups included nursing assistants and personal care aides (28.8), childcare workers (25.8), food and beverage service workers (25.3), personal appearance workers (24.4), and law enforcement workers (24.1). By industry, incidence was highest in healthcare (18.6); the highest risk sub-sectors were nursing care facilities (30.5) and warehousing (28.5). Conclusions This analysis represents one of the most complete examinations to date of COVID-19 incidence by occupation and industry. Our approach demonstrates the value of standardized occupational data collection by public health, and may be a model for improved occupational surveillance elsewhere. Workers at higher risk of SARS-CoV-2 exposure may benefit from targeted workplace COVID-19 vaccination and mitigation efforts.
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