Evidence map›Paper›PMID 38508710›Full record

ArticleOccupational and environmental medicine2024

Risk factors for SARS-CoV-2 infection at a UK electricity-generating company: a test-negative design case-control study.

Charlotte E Rutter, Martie van Tongeren, Tony Fletcher, Sarah Rhodes, Yiqun Chen, Ian Hall, Nicholas Warren, Neil Pearce

Abstract read
In one paragraph

Article in Occupational and environmental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Charlotte E RutterFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK charlotte.rutter1@lshtm.ac.uk.ORCID 0000-0002-9823-7932
Martie van TongerenDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-1205-1898
Tony FletcherFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Sarah RhodesDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-5837-801X
Yiqun ChenScience Division, Health and Safety Executive, Buxton, UK.ORCID 0000-0003-4218-084X
Ian HallDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
Nicholas WarrenScience Division, Health and Safety Executive, Bootle, UK.
Neil PearceFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-9938-7852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIdentify workplace risk factors for SARS-CoV-2 infection, using data collected by a UK electricity-generating company.

methodsUsing a test-negative design case-control study, we estimated the OR of infection by job category, site, test reason, sex, vaccination status, vulnerability, site outage and site COVID-19 weekly risk rating, adjusting for age, test date and test type.

resultsFrom an original 80 077 COVID-19 tests, there were 70 646 included in the final analysis. Most exclusions were due to being visitor tests (5030) or tests after an individual first tested positive (2968).Women were less likely to test positive than men (OR=0.71; 95% CI 0.58 to 0.86). Test reason was strongly associated with positivity and although not a cause of infection itself, due to differing test regimes by area, it was a strong confounder for other variables. Compared with routine tests, tests due to symptoms were highest risk (94.99; 78.29 to 115.24), followed by close contact (16.73; 13.80 to 20.29) and broader-defined work contact 2.66 (1.99 to 3.56). After adjustment, we found little difference in risk by job category, but some differences by site with three sites showing substantially lower risks, and one site showing higher risks in the final model.

conclusionsIn general, infection risk was not associated with job category. Vulnerable individuals were at slightly lower risk, tests during outages were higher risk, vaccination showed no evidence of an effect on testing positive, and site COVID-19 risk rating did not show an ordered trend in positivity rates.

Indexed as

COVID-19SARS-CoV-2AdultAgedCase-Control StudiesCOVID-19 TestingElectricityFemaleHumansMaleMiddle AgedOccupational DiseasesOccupational ExposurePower PlantsRisk FactorsUnited KingdomCOVID-19Disease OutbreaksEpidemiology

Identifiers

PMID38508710
PMCPMC11103344

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.