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Seroprevalence of SARS-CoV-2 infection among U.S. blood donors by industry, May–December 2021

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Am J Ind Med
  • Personal Author:
  • Description:
    Background.

    Work is a social determinant of health that is often overlooked. There are major work-related differences in the risk of SARS-CoV-2 infection and death, but there have been few analyses of infection rates across industry groups. To date, only one national assessment of SARS-CoV-2 infection prevalence by industry based on self-report has been completed. No study has looked at seroprevalence of COVID-19 by industry.

    Methods.

    During May–December 2021, blood donors with SARS-CoV-2 anti-nucleocapsid testing were sent an electronic survey about their work. Free-text industry responses were classified using the North American Industry Classification System. We estimated seroprevalence and 95% confidence intervals (CIs) of SARS-CoV-2 infection by industry.

    Results.

    Of 57,726 donors, 7,040 (12%, 95% CI: 11.9%, 12.5%) had prior SARS-CoV-2 infection. Seroprevalence was highest among Accommodation & Food Services (19.3%, 95% CI: 17.1%, 21.6%), Mining, Quarrying, and Oil and Gas Extraction (19.2%, 95% CI: 12.8%, 27.8%), Healthcare & Social Assistance (15.6%, 95% CI: 14.9%, 16.4%), and Construction (14.7%, 95% CI: 13.1%, 16.3%). Seroprevalence was lowest among Management of Companies & Enterprises (6.5%, 95% CI: 3.5%, 11.5%), Professional Scientific & Technical Services (8.4%, 95% CI: 7.7%, 9.0%), and Information (9.9%, 95% CI: 8.5%, 11.5%).

    Conclusions.

    While workers in all industries had serologic evidence of SARS-CoV-2 infection, certain sectors were disproportionately impacted. Disease surveillance systems should routinely collect work characteristics so public health and industry leaders can address health disparities using sector-specific policies.

  • Keywords:
  • Source:
    Am J Ind Med. 67(2):169-173
  • Pubmed ID:
    38047323
  • Pubmed Central ID:
    PMC10843782
  • Document Type:
  • Funding:
  • Volume:
    67
  • Issue:
    2
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:2e94f8e55ede378eea7328d7b91ab6c25f47391766d8bff34e82f742ca2b0613
  • Download URL:
  • File Type:
    Filetype[PDF - 411.07 KB ]
File Language:
English
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