Evidence map›Paper›PMID 40405221›Full record

ReviewJournal of occupational medicine and toxicology (London, England)2025

SARS-CoV-2 infection risk by non-healthcare occupations: a systematic review and meta-analysis.

Katharina M A Gabriel, Christin Schröder, Rebecca Wolf, Ulrich Bolm-Audorff, Camilla Kienast, Joanna Smolinska, Gabriela Petereit-Haack, Andreas Seidler

Abstract readReview
In one paragraph

Review in Journal of occupational medicine and toxicology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. SARS-CoV-2 infection risk by non-healthcare occupations: a systematic review and meta-analysis.Journal of occupational medicine and toxicology (London, England) · 2025
    Review
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.

Katharina M A GabrielDivision 'Work and Health', Unit 'Medical Occupational Safety and Health, Occupational Diseases', Federal Institute for Occupational Safety and Health, Nöldnerstr. 42, Berlin, 10317, Germany. gabriel.katharina@baua.bund.de.
Christin SchröderDivision 'Work and Health', Unit 'Medical Occupational Safety and Health, Occupational Diseases', Federal Institute for Occupational Safety and Health, Nöldnerstr. 42, Berlin, 10317, Germany.
Rebecca WolfDivision 'Work and Health', Unit 'Medical Occupational Safety and Health, Occupational Diseases', Federal Institute for Occupational Safety and Health, Nöldnerstr. 42, Berlin, 10317, Germany.
Ulrich Bolm-AudorffFaculty of Medicine, Technische Universität Dresden, Institute and Policlinic of Occupational and Social Medicine (IPAS), Fetscherstraße 74, Dresden, 01307, Germany.
Camilla KienastDivision 'Work and Health', Unit 'Medical Occupational Safety and Health, Occupational Diseases', Federal Institute for Occupational Safety and Health, Nöldnerstr. 42, Berlin, 10317, Germany.
Joanna SmolinskaDivision 'Work and Health', Unit 'Medical Occupational Safety and Health, Occupational Diseases', Federal Institute for Occupational Safety and Health, Nöldnerstr. 42, Berlin, 10317, Germany.
Gabriela Petereit-HaackDivision of Occupational Health, Department of Occupational Safety, Regional Government of South Hesse, Kreuzberger Ring 17, Wiesbaden, 65205, Germany.
Andreas SeidlerFaculty of Medicine, Technische Universität Dresden, Institute and Policlinic of Occupational and Social Medicine (IPAS), Fetscherstraße 74, Dresden, 01307, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, several industries were deemed essential. However, information on infection risk in occupational settings outside of healthcare workers and medical staff (HCWs) remain scarce. Thus, a systematic review with meta-analysis was conducted to compile the risk of infection to SARS-CoV-2 in non-healthcare workers (non-HCWs).

methodsWe screened three databases (EMBASE, PubMed, medRχiv) for studies on SARS-CoV-2 infection risk in working population. Several stages of severity (infection, hospitalisation, admission to intensive care unit (ICU), mortality) were eligible. Occupational specifications were harmonised according to the German classification of professions (KldB). All reported risk estimators were considered. Studies were analysed for their risk of bias. Results of random-effects meta-analyses were assessed for their evidence according to GRADE. Subgroup analyses were run for 'outcome', 'comparison group', and 'risk of bias'.

resultsOf 9,081 publications identified, 25 were recognised as eligible, mainly describing the first year of the pandemic. For 20 occupations, we were able to carry out meta-analyses on KldB-4-level by integrating all stages of severity. Nine occupations were identified with a statistically significantly increased risk of infection for SARS-CoV-2, four of which had a relative risk (RR) of > 2: Occupations in meat processing (RR = 3.58 [95%-CI 1.46; 8.77]), occupations in building cleaning services (RR = 2.55 [95%-CI 1.51; 4.31]), occupations in cargo handling (RR = 2.52 [95%-CI 2.27; 2.79]) and cooks (RR = 2.53 [95%-CI 1.75; 3.67]). The certainty of evidence of eight results was found moderate or high.

conclusionsThe first systematic review and meta-analysis of occupational SARS-CoV-2 infection risk in occupations other than HCWs revealed a considerably elevated risk in individual related services as well as in commercial services.

trial registrationPROSPERO CRD42021297572.

Indexed as

COVID-19GlobalMeta-analysisOccupationalWork

Identifiers

PMID40405221
PMCPMC12096541

What OpenQuestion holds

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Registered trials

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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.