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COVID-19 and excess mortality in the United States: A county-level analysis

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Stokes, Andrew C., Lundberg, Dielle J., Elo, Irma T., Hempstead, Katherine, Bor, Jacob, Preston, Samuel H.·2021·PLOS Medicine

Published version of a preprint

Abstract

Background: Coronavirus Disease 2019 (COVID-19) excess deaths refer to increases in mortality over what would normally have been expected in the absence of the COVID-19 pandemic. Several prior studies have calculated excess deaths in the United States but were limited to the national or state level, precluding an examination of area-level variation in excess mortality and excess deaths not assigned to COVID-19. In this study, we take advantage of county-level variation in COVID-19 mortality to estimate excess deaths associated with the pandemic and examine how the extent of excess mortality not assigned to COVID-19 varies across subsets of counties defined by sociodemographic and health characteristics. Methods and findings: In this ecological, cross-sectional study, we made use of provisional National Center for Health Statistics (NCHS) data on direct COVID-19 and all-cause mortality occurring in US counties from January 1 to December 31, 2020 and reported before March 12, 2021. We used data with a 10-week time lag between the final day that deaths occurred and the last day that deaths could be reported to improve the completeness of data. Our sample included 2,096 counties with 20 or more COVID-19 deaths. The total number of residents living in these counties was 319.1 million. On average, the counties were 18.7% Hispanic, 12.7% non-Hispanic Black, and 59.6% non-Hispanic White. A total of 15.9% of the population was older than 65 years. We first modeled the relationship between 2020 all-cause mortality and COVID-19 mortality across all counties and then produced fully stratified models to explore differences in this relationship among strata of sociodemographic and health factors. Overall, we found that for every 100 deaths assigned to COVID-19, 120 all-cause deaths occurred (95% CI, 116 to 124), implying that 17% (95% CI, 14% to 19%) of excess deaths were ascribed to causes of death other than COVID-19 itself. Our stratified models revealed that the percentage of excess deaths not assigned to COVID-19 was substantially higher among counties with lower median household incomes and less formal education, counties with poorer health and more diabetes, and counties in the South and West. Counties with more non-Hispanic Black residents, who were already at high risk of COVID-19 death based on direct counts, also reported higher percentages of excess deaths not assigned to COVID-19. Study limitations include the use of provisional data that may be incomplete and the lack of disaggregated data on county-level mortality by age, sex, race/ethnicity, and sociodemographic and health characteristics. Conclusions: In this study, we found that direct COVID-19 death counts in the US in 2020 substantially underestimated total excess mortality attributable to COVID-19. Racial and socioeconomic inequities in COVID-19 mortality also increased when excess deaths not assigned to COVID-19 were considered. Our results highlight the importance of considering health equity in the policy response to the pandemic.

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Research works printed but not linked: 41

  1. AS Fauci, 2020, Covid-19—Navigating the Uncharted, N Engl J Med
  2. MJ Cummings, 2020, Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study, Lancet, 395, 1763, 10.1016/S0140-6736(20)31189-2 · DOI · Paper page
  3. DA Leon, 2020, COVID-19: a need for real-time monitoring of weekly excess deaths, Lancet, 395, e81, 10.1016/S0140-6736(20)30933-8 · DOI · Paper page
  4. JR Gill, 2020, The Importance of Proper Death Certification During the COVID-19, Pandemic. JAMA
  5. R Del Pinto, 2020, Increased cardiovascular death rates in a COVID-19 low prevalence area, J Clin Hypertens (Greenwich)
  6. M Boukhris, 2020, Cardiovascular Implications of the COVID-19 Pandemic: A Global Perspective, Can J Cardiol, 36, 1068, 10.1016/j.cjca.2020.05.018 · DOI · Paper page
  7. E Driggin, 2020, Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic, J Am Coll Cardiol, 75, 2352, 10.1016/j.jacc.2020.03.031 · DOI · Paper page
  8. A Baum, 2020, Admissions to Veterans Affairs Hospitals for Emergency Conditions During the COVID-19 Pandemic, JAMA., 324, 96, 10.1001/jama.2020.9972 · DOI · Paper page
  9. EJ Raker, 2020, Lessons from Hurricane Katrina for predicting the indirect health consequences of the COVID-19 pandemic, Proc Natl Acad Sci U S A, 117, 12595, 10.1073/pnas.2006706117 · DOI
  10. L. Sher, 2020, The impact of the COVID-19 pandemic on suicide rates, QJM
  11. MJ Dubey, 2020, COVID-19 and addiction, Diabetes Metab Syndr., 14, 817, 10.1016/j.dsx.2020.06.008 · DOI · Paper page
  12. JA Wolfson, 2020, Food Insecurity and COVID-19: Disparities in Early Effects for US Adults, Nutrients., 12, 10.3390/nu12061648 · DOI · Paper page
  13. FD Mann, 2020, Personal economic anxiety in response to COVID-19, Personal Individ Differ., 167, 110233, 10.1016/j.paid.2020.110233 · DOI · Paper page
  14. H Prime, Risk and resilience in family well-being during the COVID-19 pandemic, Am Psychol, 2020, 631
  15. DM Weinberger, 2020, Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020, JAMA Intern Med
  16. V Kontis, 2020, Age- and sex-specific total mortality impacts of the early weeks of the Covid-19 pandemic in England and Wales: Application of a Bayesian model ensemble to mortality statistics, medRxiv
  17. JT Chen, 2021, Revealing the Unequal Burden of COVID-19 by Income, Race/Ethnicity, and Household Crowding: US County Versus Zip Code Analyses, J Public Health Manag PractCOVID-19 and Public Health: Looking Back, Moving Forward, 27, S43, 10.1097/PHH.0000000000001263 · DOI · Paper page
  18. J Zelner, 2020, Racial disparities in COVID-19 mortality are driven by unequal infection risks, Clinical infectious diseases: an official publication of the Infectious Diseases Society of America
  19. MT Bassett, 2020, Variation in racial/ethnic disparities in COVID-19 mortality by age in the United States: A cross-sectional study, PLoS Med, 17, e1003402, 10.1371/journal.pmed.1003402 · DOI · Paper page
  20. CIA Oronce, Association Between State-Level Income Inequality and COVID-19 Cases and Mortality in the USA, J Gen Intern Med, 2020, 2791
  21. K Ahmad, 2020, Association of poor housing conditions with COVID-19 incidence and mortality across US counties, PLoS ONE, e0241327, 10.1371/journal.pone.0241327 · DOI · Paper page
  22. GB Cunningham, 2020, Race, explicit racial attitudes, implicit racial attitudes, and COVID-19 cases and deaths: An analysis of counties in the United States., PLoS ONE., 15, e0242044, 10.1371/journal.pone.0242044 · DOI
  23. Y-H Chen, 2020, Excess Mortality in California During the Coronavirus Disease 2019 Pandemic, March to August 2020, JAMA Intern Med
  24. M Spencer, 2016, Timeliness of Death Certificate Data for Mortality Surveillance and Provisional Estimates, Vital Statistics Rapid Release, Special Report
  25. PA Buescher, 1997, Problems with rates based on small numbers, State Center for Health Statistics
  26. Office of National Statistics, Coronavirus (COVID-19) related deaths by occupation, England and Wales: deaths registered up to and including 20 April 2020, 2020, 1
  27. SH Preston, 2001, Demography: Measuring and Modeling Population Processes
  28. JR Goldstein, Improved measurement of racial/ethnic disparities in COVID-19 mortality in the United States, medRxiv, 2020, 2020
  29. National Center for Health Statistics, 2020, Excess Deaths Associated with COVID-19
  30. SH Woolf, 2020, Excess Deaths From COVID-19 and Other Causes, March-July 2020, JAMA, 324, 1562, 10.1001/jama.2020.19545 · DOI · Paper page
  31. MS Shiels, 2020, Impact of Population Growth and Aging on Estimates of Excess U.S. Deaths During the COVID-19 Pandemic, March to August 2020, Ann Intern Med
  32. JT Mueller, 2021, Impacts of the COVID-19 pandemic on rural America, Proc Natl Acad Sci U S A, 118, 2019378118, 10.1073/pnas.2019378118 · DOI · Paper page
  33. NM Summers-Gabr, 2020, Rural-urban mental health disparities in the United States during COVID-19, Psychol Trauma., 12, S222, 10.1037/tra0000871 · DOI
  34. KA Hirko, 2020, Telehealth in response to the COVID-19 pandemic: Implications for rural health disparities, J Am Med Inform Assoc, 27, 1816, 10.1093/jamia/ocaa156 · DOI · Paper page
  35. CJL Murray, 2006, Understanding the coronary heart disease versus total cardiovascular mortality paradox: a method to enhance the comparability of cardiovascular death statistics in the United States, Circulation, 113, 2071, 10.1161/CIRCULATIONAHA.105.595777 · DOI · Paper page
  36. M Painter, 2020, Political beliefs affect compliance with covid-19 social distancing orders, 10.2139/ssrn.3569098 · DOI · Paper page
  37. C Adolph, Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19, J Health Polit Policy Law, 2020, 2020
  38. A Bilinski, 2020, COVID-19 and Excess All-Cause Mortality in the US and 18 Comparison Countries, JAMA, 324, 2100, 10.1001/jama.2020.20717 · DOI · Paper page
  39. JT Chen, COVID-19 and the unequal surge in mortality rates in Massachusetts, by city/town and ZIP Code measures of poverty, household crowding, race/ethnicity,and racialized economic segregation, Harvard Center for Population and Development Studies Working Paper Series, 2020, 19
  40. A Mendy, 2020, Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients, medRxiv
  41. RB Davies, 1975, The Effect of Errors in the Independent Variables in Linear Regression, Biometrika, 62, 383, 10.2307/2335377 · doi:10.2307/2335377

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Metadata

Authors
Stokes, A. C., Lundberg, D. J., Elo, I. T., Hempstead, K., Bor, J., & Preston, S. H.
Venue
PLOS Medicine
Published
2021-05-20
Volume
18
Issue
5
Pages
e1003571
ISSN
  • 1549-1277 (ISSN-L)
  • 1549-1676
OpenAlex
W3162864803
Cited by
191
References
7
FWCI
15.56
Type
journal article
Language
en
Open access
gold
Funders
  • Robert Wood Johnson Foundation (77521)
  • National Institute on Aging (R01 AG060115)

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CoChat. (2026). Citation check: COVID-19 and excess mortality in the United States: A county-level analysis. https://app.cochat.ai/papers/10.1371/journal.pmed.1003571
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Stokes, A. C., Lundberg, D. J., Elo, I. T., Hempstead, K., Bor, J., & Preston, S. H. (2021). COVID-19 and excess mortality in the United States: A county-level analysis. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1003571

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