PLoS ONE (Jan 2022)

Change in unemployment by social vulnerability among United States counties with rapid increases in COVID-19 incidence—July 1–October 31, 2020

  • Shichao Tang,
  • Libby Horter,
  • Karin Bosh,
  • Ahmed M. Kassem,
  • Emily B. Kahn,
  • Jessica N. Ricaldi,
  • Leah Zilversmit Pao,
  • Gloria J. Kang,
  • Christa-Marie Singleton,
  • Tiebin Liu,
  • Isabel Thomas,
  • Carol Y. Rao

Journal volume & issue
Vol. 17, no. 4

Abstract

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Objective During the COVID-19 pandemic, the unemployment rate in the United States peaked at 14.8% in April 2020. We examined patterns in unemployment following this peak in counties with rapid increases in COVID-19 incidence. Method We used CDC aggregate county data to identify counties with rapid increases in COVID-19 incidence (rapid riser counties) during July 1–October 31, 2020. We used a linear regression model with fixed effect to calculate the change of unemployment rate difference in these counties, stratified by the county’s social vulnerability (an indicator compiled by CDC) in the two months before the rapid riser index month compared to the index month plus one month after the index month. Results Among the 585 (19% of U.S. counties) rapid riser counties identified, the unemployment rate gap between the most and least socially vulnerable counties widened by 0.40 percentage point (pConclusion The widened unemployment gap after COVID-19 incidence rapid rise between the most and least socially vulnerable counties suggests that it may take longer for socially and economically disadvantaged communities to recover. Loss of income and benefits due to unemployment could hinder behaviors that prevent spread of COVID-19 (e.g., seeking healthcare) and could impede response efforts including testing and vaccination. Addressing the social needs within these vulnerable communities could help support public health response measures.