The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
COVID-19 and excess mortality in the United States: A county-level analysis
Open accessPublished 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Hospitalization and mortality among Black patients and White patients with Covid-19.
Price-Haywood, E. G., Burton, J., Fort, D., & Seoane, L. (2020) · New England Journal of Medicine · doi:10.1056/nejmsa2011686 · Cited by 1,660 · cited 1×
“Another factor is racial health inequities in asthma, chronic obstructive pulmonary disease (CAU : PleasenotethatCOPDhasbeendefinedaschronicobstructivepulmonarydiseaseinthesentenceAnotherfactorisracialhealth::::Pleasecheckandcorrectifnecessary: OPD), hyp rtension, and diabet s, which are risk fa tors for COVID-19 [52,…”
BackgroundHartnett, K. P., Kite-Powell, A., DeVies, J., Coletta, M. A., Boehmer, T. K., Adjemian, J., Gundlapalli, A. V., & Practice, N. S. S. P. C. O. (2020) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6923e1 · Cited by 1,139
Excess deaths from COVID-19 and other causes, March–April 2020.
Woolf, S. H., Chapman, D. A., Sabo, R. T., Weinberger, D. M., & Hill, L. (2020) · JAMA · doi:10.1001/jama.2020.11787 · Cited by 541
Banerjee, A., Pasea, L., Harris, S., Gonzalez-Izquierdo, A., Torralbo, A., Shallcross, L., Noursadeghi, M., Pillay, D., Sebire, N., Holmes, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30854-0 · Cited by 518
Faust, J. S., Krumholz, H. M., Du, C., Mayes, K. D., Lin, Z., Gilman, C., & Walensky, R. P. (2021) · JAMA · doi:10.1001/jama.2020.24243 · Cited by 126
Reduced mortality in New Zealand during the COVID-19 pandemic
Kung, S., Doppen, M., Black, M., Hills, T., & Kearns, N. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32647-7 · Cited by 76
Research works printed but not linked: 41
- AS Fauci, 2020, Covid-19—Navigating the Uncharted, N Engl J Med
- 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
- 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
- JR Gill, 2020, The Importance of Proper Death Certification During the COVID-19, Pandemic. JAMA
- R Del Pinto, 2020, Increased cardiovascular death rates in a COVID-19 low prevalence area, J Clin Hypertens (Greenwich)
- 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
- 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
- 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
- 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
- L. Sher, 2020, The impact of the COVID-19 pandemic on suicide rates, QJM
- MJ Dubey, 2020, COVID-19 and addiction, Diabetes Metab Syndr., 14, 817, 10.1016/j.dsx.2020.06.008 · DOI · Paper page
- JA Wolfson, 2020, Food Insecurity and COVID-19: Disparities in Early Effects for US Adults, Nutrients., 12, 10.3390/nu12061648 · DOI · Paper page
- 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
- H Prime, Risk and resilience in family well-being during the COVID-19 pandemic, Am Psychol, 2020, 631
- DM Weinberger, 2020, Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020, JAMA Intern Med
- 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
- 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
- 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
- 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
- CIA Oronce, Association Between State-Level Income Inequality and COVID-19 Cases and Mortality in the USA, J Gen Intern Med, 2020, 2791
- 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
- 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
- Y-H Chen, 2020, Excess Mortality in California During the Coronavirus Disease 2019 Pandemic, March to August 2020, JAMA Intern Med
- M Spencer, 2016, Timeliness of Death Certificate Data for Mortality Surveillance and Provisional Estimates, Vital Statistics Rapid Release, Special Report
- PA Buescher, 1997, Problems with rates based on small numbers, State Center for Health Statistics
- 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
- SH Preston, 2001, Demography: Measuring and Modeling Population Processes
- JR Goldstein, Improved measurement of racial/ethnic disparities in COVID-19 mortality in the United States, medRxiv, 2020, 2020
- National Center for Health Statistics, 2020, Excess Deaths Associated with COVID-19
- 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
- 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
- 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
- NM Summers-Gabr, 2020, Rural-urban mental health disparities in the United States during COVID-19, Psychol Trauma., 12, S222, 10.1037/tra0000871 · DOI
- 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
- 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
- M Painter, 2020, Political beliefs affect compliance with covid-19 social distancing orders, 10.2139/ssrn.3569098 · DOI · Paper page
- C Adolph, Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19, J Health Polit Policy Law, 2020, 2020
- 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
- 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
- A Mendy, 2020, Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 Patients, medRxiv
- RB Davies, 1975, The Effect of Errors in the Independent Variables in Linear Regression, Biometrika, 62, 383, 10.2307/2335377 · doi:10.2307/2335377
Cited by
Wang, H., Paulson, K. R., Pease, S. A., Watson, S., Comfort, H., Zheng, P., Aravkin, A. Y., Bisignano, C., Barber, R. M., Alam, T., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02796-3 · Cited by 2,069
“7 10 Such studies have used a variety of models to estimate expected mortality during the pandemic on the basis of past rates and trends in all-cause mortality, making direct comparisons of excess mortality between locations difficult.”
Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu
Correia, S., Luck, S., & Verner, E. (2022) · The Journal of Economic History · doi:10.1017/s0022050722000407 · Cited by 533
Odone, A., Delmonte, D., Gaetti, G., & Signorelli, C. (2021) · Public Health · doi:10.1016/j.puhe.2020.11.016 · Cited by 34
Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city
Lewnard, J. A., B, C. M., Kang, G., & Laxminarayan, R. (2023) · Nature Communications · doi:10.1038/s41467-023-39322-7 · Cited by 23
Progress Stalled? The Uncertain Future of Mortality in High‐Income Countries
Dowd, J. B., Polizzi, A., & Tilstra, A. M. (2025) · Population and Development Review · doi:10.1111/padr.12687 · Cited by 21
Metadata
- Authors
- Stokes, A. C., Lundberg, D. J., Elo, I. T., Hempstead, K., Bor, J., & Preston, S. H.
- Venue
- PLOS Medicine
- Publisher
- Public Library of Science (PLoS)
- 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)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.