Evidence map›Paper›PMID 34014945›Full record

ArticlePLoS medicine2021

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

Andrew C Stokes, Dielle J Lundberg, Irma T Elo, Katherine Hempstead, Jacob Bor, Samuel H Preston

Abstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Excess Mortality Estimation.Annual review of statistics and its application · 2025
    Article
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Andrew C StokesDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-8502-3636
Dielle J LundbergDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-1494-4443
Irma T EloDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Katherine HempsteadRobert Wood Johnson Foundation, Princeton, New Jersey, United States of America.
Jacob BorDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-5112-8536
Samuel H PrestonDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.

Funding

Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Xi Song · 2018 to 2026
$5.3M
Causes of Geographic Divergence in American Mortality Between 1990 and 2015: Health Behaviors, Health Care Access and MigrationR01AG060115 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ELO, IRMA T. · 2018 to 2022
$1.9M
NIA NIH HHS R01 AG060115NICHD NIH HHS P2C HD044964
6 · The paper itself

Abstract

backgroundCoronavirus 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

findingsIn 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.

conclusionsIn 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.

Indexed as

MortalityAgedBlack or African AmericanComorbidityCOVID-19Cross-Sectional StudiesDatabases, FactualDiabetes MellitusEducational StatusHispanic or LatinoHumansIncomeRace FactorsSARS-CoV-2United StatesWhite People

Identifiers

PMID34014945
PMCPMC8136644

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.