From the California Department of Public Health-Occupational Health Branch, Richmond, California (X.P.V., M.F., K.G., J.W., R.H.); Heluna Health, City of Industry, California (X.P.V.); and Public Health Institute, Oakland, California (M.F., K.G., J.W.).
J Occup Environ Med. 2024 Oct 1;66(10):810-817. doi: 10.1097/JOM.0000000000003163. Epub 2024 Jun 5.
The aim of the study is to characterize the incidence of SARS-CoV-2 exposure and COVID-19 infection among California workers' compensation claims in 2020 and examine risk factors for exposure.
Using a case-control approach, we combined machine learning techniques and job exposure matrices to assess associations between exposures and illness claims and clusters of claims within specific worksites over a 3-week period.
Of the 117,125 COVID-19 claims, most were primarily among younger groups, of shorter tenure, and from health care occupations. Illness claims were among older groups with longer tenure. Jobs with very close physical proximity and high physical activity, along with transportation and warehousing industries, were associated with being part of a cluster of claims.
The findings merit further study but indicate respiratory viral transmission and support efforts to systematically incorporate work-related variables into other California data sources.
本研究旨在描述 2020 年加利福尼亚工人赔偿索赔中 SARS-CoV-2 暴露和 COVID-19 感染的发生率,并探讨暴露的危险因素。
我们使用病例对照方法,结合机器学习技术和职业暴露矩阵,评估了在 3 周内暴露与疾病索赔之间的关联,以及特定工作场所内的索赔群集。
在 117125 例 COVID-19 索赔中,大多数主要是年轻群体,任期较短,来自医疗保健职业。疾病索赔则集中在任期较长的老年群体中。与非常接近的身体接近度和高体力活动、运输和仓储行业相关的工作与成为索赔群集的一部分有关。
这些发现值得进一步研究,但表明呼吸道病毒传播,并支持努力将与工作相关的变量系统地纳入加利福尼亚其他数据源。