State and Metropolitan Area Disparities in Long COVID-19 and Related Symptoms among US Adults, June-October 2022

Authors

  • Gopal K. Singh The Center for Global Health and Health Policy, Global Health and Education Projects, Inc., Riverdale, MD 20738, USA
  • Hyunjung Lee Department of Public Policy and Public Affairs, John McCormack Graduate School of Policy and Global Studies, University of Massachusetts Boston, 100 William T Morrissey Blvd., Boston, MA 02125, USA
  • Lyoung Hee Kim Institute on Health Care Systems, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA 02453, USA
  • Romuladus E Azuine The Center for Global Health and Health Policy, Global Health and Education Projects, Inc., Riverdale, MD 20738, USA

DOI:

https://doi.org/10.21106/ijtmrph.443

Keywords:

  • Long COVID,
  • COVID-19 Pandemic,
  • Disease Severity,
  • Geographic Disparities,
  • Social Determinants

Abstract

Background: Little research exists on sociodemographic and geographic inequalities in Long COVID, defined as COVID-19 symptoms lasting 3 months or longer. Using the latest nationally representative data, we examine geographic disparities in prevalence of Long COVID and severe COVID symptoms among United States (US) adults aged ≥18 years. Methods: We analyzed five consecutive rounds of the US Census Bureau’s Household Pulse Survey from June 1 to October 17, 2022 (N=108,064). Using multivariable logistic regression and health disparity indices, we modeled disparities in Long COVID and severe COVID symptoms by state and metropolitan area, controlling for race/ethnicity, socioeconomic status, health insurance, and other demographic characteristics. Results: During June–October 2022, an estimated 35.4 million or 32.2% of COVID patients in the US reported developing Long COVID; and 15.2 million or 13.8% of COVID patients reported experiencing severe COVID symptoms. The prevalence of Long COVID ranged from 24.0% in the District of Columbia (DC), 25.4% in Hawaii to 39.2% in Alabama, 39.9% in Wyoming, and 43.6% in West Virginia. Adjusted for covariates, adults with COVID-19 diagnosis in Alabama, Wyoming, and West Virginia had 48-178% higher adjusted odds of developing Long COVID than their counterparts in DC. Adults with COVID-19 diagnosis in Alabama, Arkansas, Colorado, Iowa, Kentucky, Mississippi, Montana, North Dakota, South Dakota, Texas, Utah, Virginia, Wyoming, and West Virginia had 2.0-2.5 times higher adjusted odds of experiencing severe COVID symptoms than their counterparts in Vermont. Large disparities in prevalence of Long COVID and severe COVID symptoms existed among the 15 largest metropolitan areas of the US, with the prevalence of Long COVID ranging from 21.9% in San Francisco to 38.0% in Riverside, California. Socioeconomic, demographic and health insurance characteristics explained 34% of the state-level disparity and 45% of the metropolitanarea disparity in Long COVID prevalence. Conclusion and Implications for Translation: Marked geographic disparities existed, with COVID patients/survivors in the Southeast, Southwest, and Northern Plains states being at substantially higher risks of developing Long COVID and severe COVID symptoms. Equitable access to care and support services among patients with Long COVID is critical to reducing inequities in COVID-related health outcomes.

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Published

2023-03-29
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How to Cite

K. Singh, G., Lee, H., Kim, L. H., & Azuine, R. E. (2023). State and Metropolitan Area Disparities in Long COVID-19 and Related Symptoms among US Adults, June-October 2022. International Journal of Translational Medical Research and Public Health, 7(2), 1–14. https://doi.org/10.21106/ijtmrph.443

License


Copyright © 2023 Gopal K. Singh, Hyunjung Lee, Lyoung Hee Kim, Romuladus E Azuine. Published by Global Health and Education Projects, Inc., USA.

Creative Commons License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.