ArticleAmerican journal of industrial medicine2021
Estimation of differential occupational risk of COVID-19 by comparing risk factors with case data by occupational group.
Article in American journal of industrial medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.
- Occupational health and safety in the wake of COVID-19: insights from India's workforce.Frontiers in public health · 2026Pooled it
- Coronavirus Disease 2019 is an Occupational Disease for Teachers: How to Support the Teacher Workforce.New solutions : a journal of environmental and occupational health policy : NS · 2026Article
- Assessment and mitigation of COVID-19 occupational hazards among small businesses in a high-risk community.International journal of workplace health management · 2026Article
- Understanding Structural Health Disparities: Public Health Lessons from Black College Students During COVID-19.Journal of racial and ethnic health disparities · 2026Article
- Work-Related Exposures Mediate Occupational Class Disparities in SARS-CoV-2 Infection in France.International journal of public health · 2026Article
- Applying a NIOSH Industry and Occupation Coding tool to evaluate occupational risk of SARS-CoV-2 infection in pregnant women.Discover public health · 2026Article
- Workplace Exposures Vary Across Neighborhoods in the US: Implications on Social Vulnerability and Racial/Ethnic Health Disparities.Journal of racial and ethnic health disparities · 2025Article
- Changes in the association between county industrial composition and working-age mortality from 2000 to 2022.SSM - population health · 2025Article
- Racial and Ethnic Inequities to Cumulative Environmental and Occupational Impacts in Michigan.GeoHealth · 2025Article
- SARS-CoV-2 infection risk by non-healthcare occupations: a systematic review and meta-analysis.Journal of occupational medicine and toxicology (London, England) · 2025Review
- Extending a COVID-19 Job Exposure Matrix: The SARS-CoV-2 or COVID-19 Job Exposure Matrix Module (SCoVJEM Module) for Population-Based Studies.International journal of environmental research and public health · 2025Article
- Driving under viral impairment: Linking acute SARS-CoV-2 infections to elevated car crash risks.PLOS global public health · 2025Article
- Occupational risks of COVID-19: a case-cohort study using health insurance claims data in Germany.BMC public health · 2024Article
- COVID-19 deaths in dental occupations and other healthcare occupations among U.S. decedents in 2020.American journal of industrial medicine · 2024Article
- Impacts of COVID-19 vaccine boosters on clinical outcomes associated with the Omicron variant in China: A cross-sectional survey.Vaccine: X · 2024Article
- Occupation and SARS-CoV-2 in Europe: a review.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Impact of COVID-19 on Ethnically Minoritised Carers in UK's Care Home Settings: a Systematic Scoping Review.Journal of racial and ethnic health disparities · 2024Article
- Prevalence of SARS-CoV-2 infection among US blood donors by industry, May-December 2021.American journal of industrial medicine · 2024Article
- Potential Work-related Exposure to SARS-CoV-2 by Standard Occupational Grouping Based on Pre-lockdown Working Conditions in France.Safety and health at work · 2023Article
- Examining Excess Mortality Among Critical Workers in Minnesota During 2020-2021: An Occupational Analysis.American journal of public health · 2023Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe disease burden of coronavirus disease 2019 (COVID-19) is not uniform across occupations. Although healthcare workers are well-known to be at increased risk, data for other occupations are lacking. In lieu of this, models have been used to forecast occupational risk using various predictors, but no model heretofore has used data from actual case numbers. This study assesses the differential risk of COVID-19 by occupation using predictors from the Occupational Information Network (O*NET) database and correlating them with case counts published by the Washington State Department of Health to identify workers in individual occupations at highest risk of COVID-19 infection.
methodsThe O*NET database was screened for potential predictors of differential COVID-19 risk by occupation. Case counts delineated by occupational group were obtained from public sources. Prevalence by occupation was estimated and correlated with O*NET data to build a regression model to predict individual occupations at greatest risk.
resultsTwo variables correlate with case prevalence: disease exposure (r = 0.66; p = 0.001) and physical proximity (r = 0.64; p = 0.002), and predict 47.5% of prevalence variance (p = 0.003) on multiple linear regression analysis. The highest risk occupations are in healthcare, particularly dental, but many nonhealthcare occupations are also vulnerable.
conclusionsModels can be used to identify workers vulnerable to COVID-19, but predictions are tempered by methodological limitations. Comprehensive data across many states must be collected to adequately guide implementation of occupation-specific interventions in the battle against COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.