Evidence map›Paper›PMID 36854599›Full record

SynthesisBMJ open2023

Occupation and SARS-CoV-2 seroprevalence studies: a systematic review.

Emily Boucher, Christian Cao, Sean D'Mello, Nathan Duarte, Claire Donnici, Natalie Duarte, Graham Bennett, SeroTracker Consortium, Anil Adisesh, Rahul Arora and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Occupation and COVID-19: Lessons From the Pandemic.The journal of allergy and clinical immunology. In practice · 2024
    Article
  5. Occupation and SARS-CoV-2 in Europe: a review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  6. Observational
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.

Emily BoucherCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada emily.boucher@ucalgary.ca.ORCID 0000-0002-9854-3462
Christian CaoCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sean D'MelloFaculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
Nathan DuarteFaculty of Engineering, McGill University, Montreal, Québec, Canada.
Claire DonniciCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Natalie DuarteFaculty of Arts and Science, University of Toronto, Toronto, Ontario, Canada.
Graham BennettDepartment of Economics, McGill University, Montreal, Québec, Canada.
SeroTracker Consortium
Anil AdiseshSt. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4973-8474
Rahul AroraCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
David KodamaSt. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.
Niklas BobrovitzTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-7883-4484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe and synthesise studies of SARS-CoV-2 seroprevalence by occupation prior to the widespread vaccine roll-out.

methodsWe identified studies of occupational seroprevalence from a living systematic review (PROSPERO CRD42020183634). Electronic databases, grey literature and news media were searched for studies published during January-December 2020. Seroprevalence estimates and a free-text description of the occupation were extracted and classified according to the Standard Occupational Classification (SOC) 2010 system using a machine-learning algorithm. Due to heterogeneity, results were synthesised narratively.

resultsWe identified 196 studies including 591 940 participants from 38 countries. Most studies (n=162; 83%) were conducted locally versus regionally or nationally. Sample sizes were generally small (median=220 participants per occupation) and 135 studies (69%) were at a high risk of bias. One or more estimates were available for 21/23 major SOC occupation groups, but over half of the estimates identified (n=359/600) were for healthcare-related occupations. 'Personal Care and Service Occupations' (median 22% (IQR 9-28%); n=14) had the highest median seroprevalence.

conclusionsMany seroprevalence studies covering a broad range of occupations were published in the first year of the pandemic. Results suggest considerable differences in seroprevalence between occupations, although few large, high-quality studies were done. Well-designed studies are required to improve our understanding of the occupational risk of SARS-CoV-2 and should be considered as an element of pandemic preparedness for future respiratory pathogens.

Indexed as

COVID-19AlgorithmsHumansOccupationsSARS-CoV-2Seroepidemiologic StudiesCOVID-19occupational & industrial medicinepublic health

Identifiers

PMID36854599
PMCPMC9979591

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.