Excess risk of SARS‐CoV‐2 infection among in‐person nonhealthcare workers in six states, September 2020–June 2021
Background While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even f...
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Veröffentlicht in: | American journal of industrial medicine 2023-07, Vol.66 (7), p.587-600 |
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creator | Groenewold, Matthew R. Billock, Rachael Free, Hannah Burrer, Sherry L. Sweeney, Marie Haring Wong, Jessie Lavender, Antionette Argueta, Gabriel Crawford, Hannah‐Leigh Erukunuakpor, Kimberly Karlsson, Nicole D. Armenti, Karla Thomas, Hannah Gaetz, Kim Dang, Gialana Harduar‐Morano, Laurel Modji, Komi Luckhaupt, Sara E. |
description | Background
While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS‐CoV‐2 infection by occupation and industry among non‐healthcare workers in six states.
Methods
We analyzed data on occupation and industry of employment from a six‐state callback survey of adult non‐healthcare workers with confirmed SARS‐CoV‐2 infection and population‐based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS‐CoV‐2 infection by occupation and industry using the proportionate morbidity ratio (PMR).
Results
Among a sample of 1111 workers with confirmed SARS‐CoV‐2 infection, significantly higher‐than‐expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1–1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1–1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2–1.9).
Conclusions
We found evidence of significant differences in the proportionate distribution of SARS‐CoV‐2 infection by occupation and industry among respondents in a multistate, population‐based survey, highlighting the excess risk of SARS‐CoV‐2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people. |
doi_str_mv | 10.1002/ajim.23487 |
format | Article |
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While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS‐CoV‐2 infection by occupation and industry among non‐healthcare workers in six states.
Methods
We analyzed data on occupation and industry of employment from a six‐state callback survey of adult non‐healthcare workers with confirmed SARS‐CoV‐2 infection and population‐based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS‐CoV‐2 infection by occupation and industry using the proportionate morbidity ratio (PMR).
Results
Among a sample of 1111 workers with confirmed SARS‐CoV‐2 infection, significantly higher‐than‐expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1–1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1–1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2–1.9).
Conclusions
We found evidence of significant differences in the proportionate distribution of SARS‐CoV‐2 infection by occupation and industry among respondents in a multistate, population‐based survey, highlighting the excess risk of SARS‐CoV‐2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people.</description><identifier>ISSN: 0271-3586</identifier><identifier>EISSN: 1097-0274</identifier><identifier>DOI: 10.1002/ajim.23487</identifier><identifier>PMID: 37153939</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adult ; Confidence intervals ; Coronaviruses ; COVID-19 - epidemiology ; COVID‐19 ; Employment ; epidemiology ; Health care ; Health Personnel ; Humans ; Industry ; Infections ; Medical personnel ; Morbidity ; occupational exposure ; occupational health ; Occupations ; Respiratory diseases ; Risk ; SARS-CoV-2 ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Surveys ; United States - epidemiology ; Viral diseases ; Workers</subject><ispartof>American journal of industrial medicine, 2023-07, Vol.66 (7), p.587-600</ispartof><rights>2023 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3577-1ebad8fd78c53ff68c19770b526f4cdc27ba75fccca8f6536d5bb2be0e8054aa3</citedby><cites>FETCH-LOGICAL-c3577-1ebad8fd78c53ff68c19770b526f4cdc27ba75fccca8f6536d5bb2be0e8054aa3</cites><orcidid>0000-0001-8156-6767 ; 0000-0003-4662-7813 ; 0000-0001-8622-4483</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fajim.23487$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fajim.23487$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37153939$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Groenewold, Matthew R.</creatorcontrib><creatorcontrib>Billock, Rachael</creatorcontrib><creatorcontrib>Free, Hannah</creatorcontrib><creatorcontrib>Burrer, Sherry L.</creatorcontrib><creatorcontrib>Sweeney, Marie Haring</creatorcontrib><creatorcontrib>Wong, Jessie</creatorcontrib><creatorcontrib>Lavender, Antionette</creatorcontrib><creatorcontrib>Argueta, Gabriel</creatorcontrib><creatorcontrib>Crawford, Hannah‐Leigh</creatorcontrib><creatorcontrib>Erukunuakpor, Kimberly</creatorcontrib><creatorcontrib>Karlsson, Nicole D.</creatorcontrib><creatorcontrib>Armenti, Karla</creatorcontrib><creatorcontrib>Thomas, Hannah</creatorcontrib><creatorcontrib>Gaetz, Kim</creatorcontrib><creatorcontrib>Dang, Gialana</creatorcontrib><creatorcontrib>Harduar‐Morano, Laurel</creatorcontrib><creatorcontrib>Modji, Komi</creatorcontrib><creatorcontrib>Luckhaupt, Sara E.</creatorcontrib><title>Excess risk of SARS‐CoV‐2 infection among in‐person nonhealthcare workers in six states, September 2020–June 2021</title><title>American journal of industrial medicine</title><addtitle>Am J Ind Med</addtitle><description>Background
While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS‐CoV‐2 infection by occupation and industry among non‐healthcare workers in six states.
Methods
We analyzed data on occupation and industry of employment from a six‐state callback survey of adult non‐healthcare workers with confirmed SARS‐CoV‐2 infection and population‐based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS‐CoV‐2 infection by occupation and industry using the proportionate morbidity ratio (PMR).
Results
Among a sample of 1111 workers with confirmed SARS‐CoV‐2 infection, significantly higher‐than‐expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1–1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1–1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2–1.9).
Conclusions
We found evidence of significant differences in the proportionate distribution of SARS‐CoV‐2 infection by occupation and industry among respondents in a multistate, population‐based survey, highlighting the excess risk of SARS‐CoV‐2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people.</description><subject>Adult</subject><subject>Confidence intervals</subject><subject>Coronaviruses</subject><subject>COVID-19 - epidemiology</subject><subject>COVID‐19</subject><subject>Employment</subject><subject>epidemiology</subject><subject>Health care</subject><subject>Health Personnel</subject><subject>Humans</subject><subject>Industry</subject><subject>Infections</subject><subject>Medical personnel</subject><subject>Morbidity</subject><subject>occupational exposure</subject><subject>occupational health</subject><subject>Occupations</subject><subject>Respiratory diseases</subject><subject>Risk</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Surveys</subject><subject>United States - epidemiology</subject><subject>Viral diseases</subject><subject>Workers</subject><issn>0271-3586</issn><issn>1097-0274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctO6zAURS10EZTHhA-4ssQEIQJ-xHEyrKryEgiJAtPIcY4hJYmLnQg64xOQ-EO-BJfCHTC4k_PYWto6OhuhHUoOKSHsSE2r5pDxOJUraEBJJiPCZPwHDUKjERdpso42vJ8SQmmcxGtonUsqeMazAZqPXzR4j13lH7E1eDK8nny8vo3sXagMV60B3VW2xaqx7X3YgzwD54PS2vYBVN09aOUAP1v3GPRAYF-9YN-pDvwBnsCsg6YAhxlh5OP1_bxvYTHTLbRqVO1h-7tvotvj8c3oNLq4OjkbDS8izYWUEYVClakpZaoFNyZJNc2kJIVgiYl1qZkslBRGa61SkwielKIoWAEEUiJipfgm2lv6zpx96sF3eVN5DXWtWrC9z1lKqUhk-ExAd3-hU9u7NlwXKMayhMWMB2p_SWlnvXdg8pmrGuXmOSX5IpB8EUj-FUiA_35b9kUD5T_0J4EA0CXwXNUw_49VPjw_u1yafgI7DJjm</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Groenewold, Matthew R.</creator><creator>Billock, Rachael</creator><creator>Free, Hannah</creator><creator>Burrer, Sherry L.</creator><creator>Sweeney, Marie Haring</creator><creator>Wong, Jessie</creator><creator>Lavender, Antionette</creator><creator>Argueta, Gabriel</creator><creator>Crawford, Hannah‐Leigh</creator><creator>Erukunuakpor, Kimberly</creator><creator>Karlsson, Nicole D.</creator><creator>Armenti, Karla</creator><creator>Thomas, Hannah</creator><creator>Gaetz, Kim</creator><creator>Dang, Gialana</creator><creator>Harduar‐Morano, Laurel</creator><creator>Modji, Komi</creator><creator>Luckhaupt, Sara E.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7U7</scope><scope>C1K</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8156-6767</orcidid><orcidid>https://orcid.org/0000-0003-4662-7813</orcidid><orcidid>https://orcid.org/0000-0001-8622-4483</orcidid></search><sort><creationdate>202307</creationdate><title>Excess risk of SARS‐CoV‐2 infection among in‐person nonhealthcare workers in six states, September 2020–June 2021</title><author>Groenewold, Matthew R. ; Billock, Rachael ; Free, Hannah ; Burrer, Sherry L. ; Sweeney, Marie Haring ; Wong, Jessie ; Lavender, Antionette ; Argueta, Gabriel ; Crawford, Hannah‐Leigh ; Erukunuakpor, Kimberly ; Karlsson, Nicole D. ; Armenti, Karla ; Thomas, Hannah ; Gaetz, Kim ; Dang, Gialana ; Harduar‐Morano, Laurel ; Modji, Komi ; Luckhaupt, Sara E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3577-1ebad8fd78c53ff68c19770b526f4cdc27ba75fccca8f6536d5bb2be0e8054aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Confidence intervals</topic><topic>Coronaviruses</topic><topic>COVID-19 - epidemiology</topic><topic>COVID‐19</topic><topic>Employment</topic><topic>epidemiology</topic><topic>Health care</topic><topic>Health Personnel</topic><topic>Humans</topic><topic>Industry</topic><topic>Infections</topic><topic>Medical personnel</topic><topic>Morbidity</topic><topic>occupational exposure</topic><topic>occupational health</topic><topic>Occupations</topic><topic>Respiratory diseases</topic><topic>Risk</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Surveys</topic><topic>United States - epidemiology</topic><topic>Viral diseases</topic><topic>Workers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Groenewold, Matthew R.</creatorcontrib><creatorcontrib>Billock, Rachael</creatorcontrib><creatorcontrib>Free, Hannah</creatorcontrib><creatorcontrib>Burrer, Sherry L.</creatorcontrib><creatorcontrib>Sweeney, Marie Haring</creatorcontrib><creatorcontrib>Wong, Jessie</creatorcontrib><creatorcontrib>Lavender, Antionette</creatorcontrib><creatorcontrib>Argueta, Gabriel</creatorcontrib><creatorcontrib>Crawford, Hannah‐Leigh</creatorcontrib><creatorcontrib>Erukunuakpor, Kimberly</creatorcontrib><creatorcontrib>Karlsson, Nicole D.</creatorcontrib><creatorcontrib>Armenti, Karla</creatorcontrib><creatorcontrib>Thomas, Hannah</creatorcontrib><creatorcontrib>Gaetz, Kim</creatorcontrib><creatorcontrib>Dang, Gialana</creatorcontrib><creatorcontrib>Harduar‐Morano, Laurel</creatorcontrib><creatorcontrib>Modji, Komi</creatorcontrib><creatorcontrib>Luckhaupt, Sara E.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of industrial medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Groenewold, Matthew R.</au><au>Billock, Rachael</au><au>Free, Hannah</au><au>Burrer, Sherry L.</au><au>Sweeney, Marie Haring</au><au>Wong, Jessie</au><au>Lavender, Antionette</au><au>Argueta, Gabriel</au><au>Crawford, Hannah‐Leigh</au><au>Erukunuakpor, Kimberly</au><au>Karlsson, Nicole D.</au><au>Armenti, Karla</au><au>Thomas, Hannah</au><au>Gaetz, Kim</au><au>Dang, Gialana</au><au>Harduar‐Morano, Laurel</au><au>Modji, Komi</au><au>Luckhaupt, Sara E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Excess risk of SARS‐CoV‐2 infection among in‐person nonhealthcare workers in six states, September 2020–June 2021</atitle><jtitle>American journal of industrial medicine</jtitle><addtitle>Am J Ind Med</addtitle><date>2023-07</date><risdate>2023</risdate><volume>66</volume><issue>7</issue><spage>587</spage><epage>600</epage><pages>587-600</pages><issn>0271-3586</issn><eissn>1097-0274</eissn><abstract>Background
While the occupational risk of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection for healthcare personnel in the United States has been relatively well characterized, less information is available on the occupational risk for workers employed in other settings. Even fewer studies have attempted to compare risks across occupations and industries. Using differential proportionate distribution as an approximation, we evaluated excess risk of SARS‐CoV‐2 infection by occupation and industry among non‐healthcare workers in six states.
Methods
We analyzed data on occupation and industry of employment from a six‐state callback survey of adult non‐healthcare workers with confirmed SARS‐CoV‐2 infection and population‐based reference data on employment patterns, adjusted for the effect of telework, from the U.S. Bureau of Labor Statistics. We estimated the differential proportionate distribution of SARS‐CoV‐2 infection by occupation and industry using the proportionate morbidity ratio (PMR).
Results
Among a sample of 1111 workers with confirmed SARS‐CoV‐2 infection, significantly higher‐than‐expected proportions of workers were employed in service occupations (PMR 1.3, 99% confidence interval [CI] 1.1–1.5) and in the transportation and utilities (PMR 1.4, 99% CI 1.1–1.8) and leisure and hospitality industries (PMR 1.5, 99% CI 1.2–1.9).
Conclusions
We found evidence of significant differences in the proportionate distribution of SARS‐CoV‐2 infection by occupation and industry among respondents in a multistate, population‐based survey, highlighting the excess risk of SARS‐CoV‐2 infection borne by some worker populations, particularly those whose jobs require frequent or prolonged close contact with other people.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37153939</pmid><doi>10.1002/ajim.23487</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-8156-6767</orcidid><orcidid>https://orcid.org/0000-0003-4662-7813</orcidid><orcidid>https://orcid.org/0000-0001-8622-4483</orcidid></addata></record> |
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subjects | Adult Confidence intervals Coronaviruses COVID-19 - epidemiology COVID‐19 Employment epidemiology Health care Health Personnel Humans Industry Infections Medical personnel Morbidity occupational exposure occupational health Occupations Respiratory diseases Risk SARS-CoV-2 Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Surveys United States - epidemiology Viral diseases Workers |
title | Excess risk of SARS‐CoV‐2 infection among in‐person nonhealthcare workers in six states, September 2020–June 2021 |
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