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Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts.

Authors :
Haley, Beth M.
Patil, Prasad
Levy, Jonathan I.
Spangler, Keith R.
Tieskens, Koen F.
Carnes, Fei
Peng, Xiaojing
Klevens, R. Monina
Troppy, T. Scott
Fabian, M. Patricia
Lane, Kevin J.
Leibler, Jessica H.
Source :
Journal of Community Health. Feb2024, Vol. 49 Issue 1, p91-99. 9p.
Publication Year :
2024

Abstract

Occupational exposure to SARS-CoV-2 varies by profession, but "essential workers" are often considered in aggregate in COVID-19 models. This aggregation complicates efforts to understand risks to specific types of workers or industries and target interventions, specifically towards non-healthcare workers. We used census tract-resolution American Community Survey data to develop novel essential worker categories among the occupations designated as COVID-19 Essential Services in Massachusetts. Census tract-resolution COVID-19 cases and deaths were provided by the Massachusetts Department of Public Health. We evaluated the association between essential worker categories and cases and deaths over two phases of the pandemic from March 2020 to February 2021 using adjusted mixed-effects negative binomial regression, controlling for other sociodemographic risk factors. We observed elevated COVID-19 case incidence in census tracts in the highest tertile of workers in construction/transportation/buildings maintenance (Phase 1: IRR 1.32 [95% CI 1.22, 1.42]; Phase 2: IRR: 1.19 [1.13, 1.25]), production (Phase 1: IRR: 1.23 [1.15, 1.33]; Phase 2: 1.18 [1.12, 1.24]), and public-facing sales and services occupations (Phase 1: IRR: 1.14 [1.07, 1.21]; Phase 2: IRR: 1.10 [1.06, 1.15]). We found reduced case incidence associated with greater percentage of essential workers able to work from home (Phase 1: IRR: 0.85 [0.78, 0.94]; Phase 2: IRR: 0.83 [0.77, 0.88]). Similar trends exist in the associations between essential worker categories and deaths, though attenuated. Estimating industry-specific risk for essential workers is important in targeting interventions for COVID-19 and other diseases and our categories provide a reproducible and straightforward way to support such efforts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00945145
Volume :
49
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Community Health
Publication Type :
Academic Journal
Accession number :
175566209
Full Text :
https://doi.org/10.1007/s10900-023-01249-x