Evidence map›Paper›PMID 35018297›Full record

ArticleSSM - population health2022

County-level estimates of excess mortality associated with COVID-19 in the United States.

Calvin A Ackley, Dielle J Lundberg, Lei Ma, Irma T Elo, Samuel H Preston, Andrew C Stokes

Abstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
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  9. Article
  10. Excess deaths associated with COVID-19 by rurality and demographic factors in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
    Article
  11. Excess natural-cause mortality in US counties and its association with reported COVID-19 deaths.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. The impacts of Covid-19 absences on workers.Journal of public economics · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Calvin A AckleyU.S. Bureau of Economic Analysis, Washington, D.C, USA.
Dielle J LundbergDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
Lei MaDepartment of Economics, Boston University, Boston, MA, USA.
Irma T EloDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
Samuel H PrestonDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.
Andrew C StokesDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.

Funding

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 AG060115
6 · The paper itself

Abstract

The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a generalized linear model of expected mortality based on historical trends in deaths by county of residence between 2011 and 2019. We used the results of the model to generate estimates of excess mortality and excess deaths not assigned to COVID-19 in 2020 for 1470 county sets in the U.S. representing 3138 counties. Across the country, we estimated that 438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19. Some regions (Mideast, Great Lakes, New England, and Far West) reported the most excess deaths in large central metros, whereas other regions (Southwest, Southeast, Plains, and Rocky Mountains) reported the highest excess mortality in nonmetro areas. The proportion assigned to COVID-19 was lowest in large central metro areas (79.3%). Regionally, the proportion of excess deaths assigned to COVID-19 was lowest in the Southeast (81.6%), Southwest (82.6%), Far West (83.7%), and Rocky Mountains (86.7%). Across the regions, the number of excess deaths exceeded the number of directly assigned COVID-19 deaths in most counties. The exception to this pattern occurred in New England, which reported more directly assigned COVID-19 deaths than excess deaths in metro and nonmetro areas. Many county sets had substantial numbers of excess deaths that were not accounted for in direct COVID-19 death counts. Estimates of excess mortality at the local level can inform the allocation of resources to areas most impacted by the pandemic and contribute to positive behavior feedback loops, such as increases in mask-wearing and vaccine uptake.

Indexed as

CountiesCOVID-19Excess deathsGeographic inequalitiesMortality

Identifiers

PMID35018297
PMCPMC8730693

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.