Evidence map›Paper›PMID 37507525›Full record

ArticleJournal of community health2024

Evaluating COVID-19 Risk to Essential Workers by Occupational Group: A Case Study in Massachusetts.

Beth M Haley, Prasad Patil, Jonathan I Levy, Keith R Spangler, Koen F Tieskens, Fei Carnes, Xiaojing Peng, R Monina Klevens, T Scott Troppy, M Patricia Fabian and 2 more

Abstract read
In one paragraph

Article in Journal of community health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Urban Health Scholarship and Practice in the Post-Pandemic Era.Journal of urban health : bulletin of the New York Academy of Medicine · 2023
    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

12 authors.

Beth M HaleyDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.ORCID 0000-0003-0236-4687
Prasad PatilDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jonathan I LevyDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.ORCID 0000-0002-1116-4006
Keith R SpanglerDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Koen F TieskensDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.ORCID 0000-0003-2577-331X
Fei CarnesDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.
Xiaojing PengDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
R Monina KlevensBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
T Scott TroppyBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
M Patricia FabianDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.ORCID 0000-0002-1658-3349
Kevin J LaneDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA.ORCID 0000-0002-1038-6811
Jessica H LeiblerDepartment of Environmental Health, School of Public Health, Boston University, 715 Albany St, Boston, MA, 02118, USA. jleibler@bu.edu.ORCID 0000-0002-0605-0928

Funding

Environmental Epidemiology in Community SettingsT32ES014562 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Birgit Gunhild Claus Henn · 2006 to 2026
$7.7M
Project 3: Cumulative Risk and Geospatial Health Disparities Related to Chemical and Non-Chemical Stressor ExposuresP50MD010428 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LADEN, FRANCINE, LEVY, JONATHAN I · 2015 to 2020
$4.0M
Nurses Health Study 3: A multiple exposure environmental epidemiology cohort of young adultsR24ES028521 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, LADEN, FRANCINE · 2018 to 2022
$2.1M
NIEHS NIH HHS R24 ES028521NIEHS NIH HHS T32 ES014562NIEHS NIH HHS T32ES014562NIMHD NIH HHS P50 MD010428NIMHD NIH HHS P50MD010428
6 · The paper itself

Abstract

Occupational exposure to SARS-CoV-2 varies by profession, but "essential workers" are often considered in aggregate in COVID-19 models. This aggregation complicates efforts to understand risks to specific types of workers or industries and target interventions, specifically towards non-healthcare workers. We used census tract-resolution American Community Survey data to develop novel essential worker categories among the occupations designated as COVID-19 Essential Services in Massachusetts. Census tract-resolution COVID-19 cases and deaths were provided by the Massachusetts Department of Public Health. We evaluated the association between essential worker categories and cases and deaths over two phases of the pandemic from March 2020 to February 2021 using adjusted mixed-effects negative binomial regression, controlling for other sociodemographic risk factors. We observed elevated COVID-19 case incidence in census tracts in the highest tertile of workers in construction/transportation/buildings maintenance (Phase 1: IRR 1.32 [95% CI 1.22, 1.42]; Phase 2: IRR: 1.19 [1.13, 1.25]), production (Phase 1: IRR: 1.23 [1.15, 1.33]; Phase 2: 1.18 [1.12, 1.24]), and public-facing sales and services occupations (Phase 1: IRR: 1.14 [1.07, 1.21]; Phase 2: IRR: 1.10 [1.06, 1.15]). We found reduced case incidence associated with greater percentage of essential workers able to work from home (Phase 1: IRR: 0.85 [0.78, 0.94]; Phase 2: IRR: 0.83 [0.77, 0.88]). Similar trends exist in the associations between essential worker categories and deaths, though attenuated. Estimating industry-specific risk for essential workers is important in targeting interventions for COVID-19 and other diseases and our categories provide a reproducible and straightforward way to support such efforts.

Indexed as

COVID-19HumansIndustryMassachusettsOccupationsSARS-CoV-2Community healthCOVID-19Essential workersGeospatial dataOccupational health

Identifiers

PMID37507525
PMCPMC10823035

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.