Measuring Work-related Risk of Coronavirus Disease 2019 (COVID-19): Comparison of COVID-19 Incidence by Occupation and Industry-Wisconsin, September 2020 to May 2021
被引:16
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作者:
Pray, Ian W.
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机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Ctr Dis Control & Prevent CDC, Atlanta, GA USAWisconsin Dept Hlth Serv, Madison, WI USA
Pray, Ian W.
[1
,2
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Grajewski, Barbara
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h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Grajewski, Barbara
[1
]
Morris, Collin
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h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Morris, Collin
[1
,4
]
Modji, Komi
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Modji, Komi
[1
,4
]
DeJonge, Peter
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
CDC, Epidem Intelligence Serv, Atlanta, GA 30333 USAWisconsin Dept Hlth Serv, Madison, WI USA
DeJonge, Peter
[1
,3
]
McCoy, Katherine
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
McCoy, Katherine
[1
,4
]
Tomasallo, Carrie
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Tomasallo, Carrie
[1
,4
]
DeSalvo, Traci
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
DeSalvo, Traci
[1
]
Westergaard, Ryan P.
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h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Westergaard, Ryan P.
[1
,4
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Meiman, Jonathan
论文数: 0引用数: 0
h-index: 0
机构:
Wisconsin Dept Hlth Serv, Madison, WI USA
Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USAWisconsin Dept Hlth Serv, Madison, WI USA
Meiman, Jonathan
[1
,4
]
机构:
[1] Wisconsin Dept Hlth Serv, Madison, WI USA
[2] Ctr Dis Control & Prevent CDC, Atlanta, GA USA
[3] CDC, Epidem Intelligence Serv, Atlanta, GA 30333 USA
[4] Univ Wisconsin, Sch Med & Publ Hlth, Madison, WI USA
This study uses surveillance data to estimate the incidence of coronavirus disease 2019 (COVID-19) among workers in Wisconsin and compare risk across standardized occupation and industry groups. High incidence was found among workers in personal care and service occupations, healthcare, and law enforcement. Background Work-related exposures play an important role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission, yet few studies have compared SARS-CoV-2 expsoure risk across occupations and industries. Methods During September 2020 to May 2021, the Wisconsin Department of Health Services collected occupation and industry data as part of routine coronavirus disease 2019 (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 FTE) occurred among personal care and services workers (22.1), 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.