Evidence map›Paper›PMID 36057273›Full record

ArticleThe Lancet. Public health2022

COVID-19 mortality and excess mortality among working-age residents in California, USA, by occupational sector: a longitudinal cohort analysis of mortality surveillance data.

Yea-Hung Chen, Alicia R Riley, Kate A Duchowny, Hélène E Aschmann, Ruijia Chen, Mathew V Kiang, Alyssa C Mooney, Andrew C Stokes, M Maria Glymour, Kirsten Bibbins-Domingo

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  9. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Occupation and SARS-CoV-2 in Europe: a review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  14. 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
  15. Sex Differences in COVID-19 Deaths, by Industry and Occupation, 2021.American journal of preventive medicine · 2024
    Article
  16. Article
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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

10 authors at 3 institutions in 1 country.

Yea-Hung ChenDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA. Electronic address: yea-hung.chen@ucsf.edu.
Alicia R RileyDepartment of Sociology, University of California, San Francisco, CA, USA.
Kate A DuchownyDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Hélène E AschmannDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Ruijia ChenDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Mathew V KiangDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
Alyssa C MooneyInstitute for Health Policy Studies, University of California, San Francisco, CA, USA.
Andrew C StokesDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
M Maria GlymourDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Kirsten Bibbins-DomingoDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
University of California, San Francisco · USBoston University · USStanford University · US

Funding

Reducing racial disparities in the treatment of opioid use disorder using machine learning-based causal analysisR00DA051534 · NIDA · STANFORD UNIVERSITY · PI KIANG, MATHEW VINHHOA · 2022 to 2024
$747k
Lifecourse Stressors and Social Disparities in Cognitive Aging: The Roles of Social Networks and Sleep DisturbanceK00AG068431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHEN, RUIJIA · 2021 to 2024
$330k
NIA NIH HHS K00 AG068431NIDA NIH HHS R00 DA051534
6 · The paper itself

Abstract

backgroundDuring the first year of the COVID-19 pandemic, workers in essential sectors had higher rates of SARS-CoV-2 infection and COVID-19 mortality than those in non-essential sectors. It is unknown whether disparities in pandemic-related mortality across occupational sectors have continued to occur during the periods of SARS-CoV-2 variants and vaccine availability.

methodsIn this longitudinal cohort study, we obtained data from the California Department of Public Health on all deaths occurring in the state of California, USA, from Jan 1, 2016, to Dec 31, 2021. We restricted our analysis to residents of California who were aged 18-65 years at time of death and died of natural causes. We classified the occupational sector into nine essential sectors; non-essential; or unemployed or without an occupation provided on the death certificate. We calculated the number of COVID-19 deaths in total and per capita that occurred in each occupational sector. Separately, using autoregressive integrated moving average models, we estimated total, per-capita, and relative excess natural-cause mortality by week between March 1, 2020, and Nov 30, 2021, stratifying by occupational sector. We additionally stratified analyses of occupational risk into counties with high versus low vaccine uptake, categorising high-uptake regions as counties where at least 50% of the population were fully vaccinated according to US guidelines by Aug 1, 2021.

findingsFrom March 1, 2020, to Nov 30, 2021, 24 799 COVID-19 deaths were reported in residents of California aged 18-65 years and an estimated 28 751 (95% prediction interval 27 853-29 653) excess deaths. People working in essential sectors were associated with higher COVID-19 deaths and excess deaths than were those working in non-essential sectors, with the highest per-capita COVID-19 mortality in the agriculture (131·8 per 100 000 people), transportation or logistics (107·1 per 100 000), manufacturing (103·3 per 100 000), facilities (101·1 per 100 000), and emergency (87·8 per 100 000) sectors. Disparities were wider during periods of increased infections, including during the Nov 29, 2020, to Feb 27, 2021, surge in infections, which was driven by the delta variant (B.1.617.2) and occurred during vaccine uptake. During the June 27 to Nov 27, 2021 surge, emergency workers had higher COVID-19 mortality (113·7 per 100 000) than workers from any other sector. Workers in essential sectors had the highest COVID-19 mortality in counties with low vaccination uptake, a difference that was more pronounced during the period of the delta infection surge during Nov 29, 2020, to Feb 27, 2021.

interpretationWorkers in essential sectors have continued to bear the brunt of high COVID-19 and excess mortality throughout the pandemic, particularly in the agriculture, emergency, manufacturing, facilities, and transportation or logistics sectors. This high death toll has continued during periods of vaccine availability and the delta surge. In an ongoing pandemic without widespread vaccine coverage and with anticipated threats of new variants, the USA must actively adopt policies to more adequately protect workers in essential sectors.

fundingUS National Institute on Aging, Swiss National Science Foundation, and US National Institute on Drug Abuse.

Indexed as

COVID-19VaccinesCaliforniaCohort StudiesHumansLongitudinal StudiesPandemicsSARS-CoV-2Vaccines

Identifiers

PMID36057273
PMCPMC9433054
OpenAlexW4294666616

What OpenQuestion holds

Textmetadata
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.