Evidence map›Paper›PMID 35817467›Full record

ArticleJournal of epidemiology and community health2022

Occupational differences in SARS-CoV-2 infection: analysis of the UK ONS COVID-19 infection survey.

Sarah Rhodes, Jack Wilkinson, Neil Pearce, William Mueller, Mark Cherrie, Katie Stocking, Matthew Gittins, Srinivasa Vittal Katikireddi, Martie Van Tongeren

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Occupation and SARS-CoV-2 in Europe: a review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

Sarah RhodesCentre for Biostatistics, University of Manchester, Manchester, UK Sarah.A.Rhodes@manchester.ac.uk.ORCID http://orcid.org/0000-0002-5837-801X
Jack WilkinsonCentre for Biostatistics, University of Manchester, Manchester, UK.
Neil PearceEpidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
William MuellerInstitute of Occupational Medicine, Edinburgh, UK.ORCID http://orcid.org/0000-0001-8712-736X
Mark CherrieInstitute of Occupational Medicine, Edinburgh, UK.
Katie StockingCentre for Biostatistics, University of Manchester, Manchester, UK.
Matthew GittinsCentre for Biostatistics, University of Manchester, Manchester, UK.
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-6593-9092
Martie Van TongerenCentre for Occupation and Environmental Health, The University of Manchester, Manchester, UK.
University of Manchester · GBInstitute of Occupational Medicine · GBLondon School of Hygiene & Tropical Medicine · GBMRC/CSO Social and Public Health Sciences Unit · GB

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_00022/2
6 · The paper itself

Abstract

backgroundConcern remains about how occupational SARS-CoV-2 risk has evolved during the COVID-19 pandemic. We aimed to ascertain occupations with the greatest risk of SARS-CoV-2 infection and explore how relative differences varied over the pandemic.

methodsAnalysis of cohort data from the UK Office of National Statistics COVID-19 Infection Survey from April 2020 to November 2021. This survey is designed to be representative of the UK population and uses regular PCR testing. Cox and multilevel logistic regression were used to compare SARS-CoV-2 infection between occupational/sector groups, overall and by four time periods with interactions, adjusted for age, sex, ethnicity, deprivation, region, household size, urban/rural neighbourhood and current health conditions.

resultsBased on 3 910 311 observations (visits) from 312 304 working age adults, elevated risks of infection can be seen overall for social care (HR 1.14; 95% CI 1.04 to 1.24), education (HR 1.31; 95% CI 1.23 to 1.39), bus and coach drivers (1.43; 95% CI 1.03 to 1.97) and police and protective services (HR 1.45; 95% CI 1.29 to 1.62) when compared with non-essential workers. By time period, relative differences were more pronounced early in the pandemic. For healthcare elevated odds in the early waves switched to a reduction in the later stages. Education saw raises after the initial lockdown and this has persisted. Adjustment for covariates made very little difference to effect estimates.

conclusionsElevated risks among healthcare workers have diminished over time but education workers have had persistently higher risks. Long-term mitigation measures in certain workplaces may be warranted.

Indexed as

COVID-19EPIDEMIOLOGYOCCUPATIONAL HEALTH

Identifiers

PMID35817467
PMCPMC9484374
OpenAlexW4285007905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.