Evidence map›Paper›PMID 34086762›Full record

Trial reportPloS one2021

Excess mortality associated with the COVID-19 pandemic among Californians 18-65 years of age, by occupational sector and occupation: March through November 2020.

Yea-Hung Chen, Maria Glymour, Alicia Riley, John Balmes, Kate Duchowny, Robert Harrison, Ellicott Matthay, Kirsten Bibbins-Domingo

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 1 pooled it
20.6field-weighted citation impact, top 1% 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

155 citing papers in PubMed, 1 synthesis or guideline pooled it, 251 citations in OpenAlex.

  1. Pooled it
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  6. Missing Occupation, Missing Risk: Insights From COVID-19 Case Investigation Data in Busan, South Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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  12. Precision public health after Covid-19: a scoping review.International journal for equity in health · 2025
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  19. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
    Article
  20. Article

95 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Yea-Hung ChenInstitute for Global Health Sciences, University of California, San Francisco, California, United States of America.ORCID 0000-0002-7949-0692
Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.
Alicia RileyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.
John BalmesDepartment of Medicine, University of California, San Francisco, California, United States of America.
Kate DuchownyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.
Robert HarrisonDepartment of Medicine, University of California, San Francisco, California, United States of America.
Ellicott MatthayDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.
Kirsten Bibbins-DomingoDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America.
University of California, San Francisco · US

Funding

Examining the role of the neighborhood environment on muscle function in older adultsR00AG066846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DUCHOWNY, CATHERINE · 2023 to 2025
$742k
Examining the role of the neighborhood environment on muscle function in older adultsK99AG066846 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUCHOWNY, CATHERINE · 2021 to 2022
$250k
NIA NIH HHS K99 AG066846NIA NIH HHS R00 AG066846NIOSH CDC HHS R13 OH009753NIOSH CDC HHS R25 OH008802NIOSH CDC HHS U60 OH008468
6 · The paper itself

Abstract

backgroundThough SARS-CoV-2 outbreaks have been documented in occupational settings and in-person essential work has been suspected as a risk factor for COVID-19, occupational differences in excess mortality have, to date, not been examined. Such information could point to opportunities for intervention, such as vaccine prioritization or regulations to enforce safer work environments. METHODS AND

findingsUsing autoregressive integrated moving average models and California Department of Public Health data representing 356,188 decedents 18-65 years of age who died between January 1, 2016 and November 30, 2020, we estimated pandemic-related excess mortality by occupational sector and occupation, with additional stratification of the sector analysis by race/ethnicity. During these first 9 months of the COVID-19 pandemic, working-age adults experienced 11,628 more deaths than expected, corresponding to 22% relative excess and 46 excess deaths per 100,000 living individuals. Sectors with the highest relative and per-capita excess mortality were food/agriculture (39% relative excess; 75 excess deaths per 100,000), transportation/logistics (31%; 91 per 100,000), manufacturing (24%; 61 per 100,000), and facilities (23%; 83 per 100,000). Across racial and ethnic groups, Latino working-age Californians experienced the highest relative excess mortality (37%) with the highest excess mortality among Latino workers in food and agriculture (59%; 97 per 100,000). Black working-age Californians had the highest per-capita excess mortality (110 per 100,000), with relative excess mortality highest among transportation/logistics workers (36%). Asian working-age Californians had lower excess mortality overall, but notable relative excess mortality among health/emergency workers (37%), while White Californians had high per-capita excess deaths among facilities workers (70 per 100,000).

conclusionsCertain occupational sectors are associated with high excess mortality during the pandemic, particularly among racial and ethnic groups also disproportionately affected by COVID-19. In-person essential work is a likely venue of transmission of coronavirus infection and must be addressed through vaccination and strict enforcement of health orders in workplace settings.

Indexed as

COVID-19EthnicityOccupationsPandemicsRacial GroupsSARS-CoV-2AdolescentAdultAgedCaliforniaFemaleHumansMaleMiddle Aged

Identifiers

PMID34086762
PMCPMC8177528
OpenAlexW3164915915

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.