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Who'S In And Who'S Out Under Workplace Covid Symptom Screening?

Author

Listed:
  • Krista Ruffini
  • Aaron Sojourner
  • Abigail Wozniak

Abstract

COVID symptom screening, a new workplace practice, is already affecting many millions of American workers. As of this writing, 34 states already require, and federal guidance recommends, frequent screening of at least some employees for fever or other symptoms. This paper provides the first empirical work identifying major features of symptom screening in a broad population and exploring the trade‐offs employers face in using daily symptom screening. First, we find that common symptom checkers could screen out up to 7 percent of workers each day, depending on the measure used. Second, we find that the measures used will matter for three reasons: Many respondents report any given symptom, survey design affects responses, and demographic groups report symptoms at different rates, even absent fluctuations in likely COVID exposure. This last pattern can potentially lead to disparate impacts and is important from an equity standpoint.

Suggested Citation

  • Krista Ruffini & Aaron Sojourner & Abigail Wozniak, 2021. "Who'S In And Who'S Out Under Workplace Covid Symptom Screening?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 614-641, March.
  • Handle: RePEc:wly:jpamgt:v:40:y:2021:i:2:p:614-641
    DOI: 10.1002/pam.22288
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    References listed on IDEAS

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    1. Kumar, S. & Quinn, S.C. & Kim, K.H. & Daniel, L.H. & Freimuth, V.S., 2012. "The impact of workplace policies and other social factors on self-reported influenza-like illness incidence during the 2009 H1N1 pandemic," American Journal of Public Health, American Public Health Association, vol. 102(1), pages 134-140.
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    7. Abigail Wozniak, 2020. "Disparities and Mitigation Behavior during COVID-19," Opportunity and Inclusive Growth Institute Working Papers 32, Federal Reserve Bank of Minneapolis.
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    Cited by:

    1. Wichmann, Bruno & Wichmann, Roberta, 2022. "COVID-19 and Indigenous health in the Brazilian Amazon," Economic Modelling, Elsevier, vol. 115(C).
    2. Zachary Swaziek & Abigail Wozniak, 2020. "Disparities Old and New in US Mental Health during the COVID‐19 Pandemic," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 709-732, September.

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    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • K30 - Law and Economics - - Other Substantive Areas of Law - - - General
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General

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