Evidence map›Paper›PMID 36114132›Full record

ArticleAmerican journal of preventive medicine2022

Excess Mortality in California by Education During the COVID-19 Pandemic.

Yea-Hung Chen, Ellicott C Matthay, Ruijia Chen, Michelle A DeVost, Kate A Duchowny, Alicia R Riley, Kirsten Bibbins-Domingo, M Maria Glymour

Open access · hybridAbstract read
In one paragraph

Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
    Article
  4. Article
  5. 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
  6. Article
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  8. Observational
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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

8 authors at 3 institutions in 1 country.

Yea-Hung ChenDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
Ellicott C MatthayDepartment of Population Health, NYU Langone Health, New York, New York.
Ruijia ChenDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
Michelle A DeVostDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
Kate A DuchownyInstitute for Social Research, University of Michigan, Ann ArborAnn Arbor, Michigan.
Alicia R RileyDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California; Department of Sociology, University of California Santa Cruz, Santa Cruz, California.
Kirsten Bibbins-DomingoDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California.
M Maria GlymourDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California. Electronic address: maria.glymour@ucsf.edu.
University of California, San Francisco · USNYU Langone Health · USUniversity of Michigan · US

Funding

Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
NIA NIH HHS T32 AG049663
6 · The paper itself

Abstract

introductionUnderstanding educational patterns in excess mortality during the coronavirus disease 2019 (COVID-19) pandemic may help to identify strategies to reduce disparities. It is unclear whether educational inequalities in COVID-19 mortality have persisted throughout the pandemic, spanned the full range of educational attainment, or varied by other demographic indicators of COVID-19 risks, such as age or occupation.

methodsThis study analyzed individual-level California Department of Public Health data on deaths occurring between January 2016 and February 2021 among individuals aged ≥25 years (1,502,202 deaths). Authors applied ARIMA (autoregressive integrated moving average) models to subgroups defined by the highest level of education and other demographics (age, sex, race/ethnicity, U.S. nativity, occupational sector, and urbanicity). Authors estimated excess deaths (the number of observed deaths minus the number of deaths expected to occur under the counterfactual of no pandemic) and excess deaths per 100,000 individuals.

resultsEducational inequalities in excess mortality emerged early in the pandemic and persisted throughout the first year. The greatest per-capita excess occurred among people without high-school diplomas (533 excess deaths/100,000), followed by those with a high-school diploma but no college (466/100,000), some college (156/100,000), and bachelor's degrees (120/100,000), and smallest among people with graduate/professional degrees (101/100,000). Educational inequalities occurred within every subgroup examined. For example, per-capita excess mortality among Latinos with no college experience was 3.7 times higher than among Latinos with at least some college experience.

conclusionsPervasive educational inequalities in excess mortality during the pandemic suggest multiple potential intervention points to reduce disparities.

Indexed as

COVID-19PandemicsCaliforniaEducational StatusEthnicityHumans

Identifiers

PMID36114132
PMCPMC9325680
OpenAlexW4288046343

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.