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

Title: Risk factors for SARS-CoV-2 infection at a UK electricity-generating company:a test-negative design case-control study
Authors: Rutter, CE; van Tongeren, M; Fletcher, T; Rhodes, S; Chen, YQ; Hall, I; Warren, N; Pearce, N
Source: Rutter, CE, van Tongeren, M, Fletcher, T, Rhodes, S, Chen, YQ, Hall, I, Warren, N & Pearce, N 2024, 'Risk factors for SARS-CoV-2 infection at a UK electricity-generating company : a test-negative design case-control study', Occupational and Environmental Medicine, vol. 81, no. 4, pp. 184-190. https://doi.org/10.1136/oemed-2023-109184
Publication Year: 2024
Collection: The University of Manchester: Research Explorer - Publications
Subject Terms: Adult; Aged; COVID-19 Testing/statistics & numerical data; COVID-19/epidemiology; Case-Control Studies; Electricity; Female; Humans; Male; Middle Aged; Occupational Diseases/epidemiology; Occupational Exposure/adverse effects; Power Plants; Risk Factors; SARS-CoV-2; United Kingdom/epidemiology; Workplace; Young Adult
Description: Objectives Identify workplace risk factors for SARSCoV-2 infection, using data collected by a UK electricity-generating company. Methods Using 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. Results From 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. Conclusions In 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.
Document Type: article in journal/newspaper
Language: English
ISSN: 1351-0711; 1470-7926
Relation: info:eu-repo/semantics/altIdentifier/pmid/38508710; info:eu-repo/semantics/altIdentifier/wos/001188995600001; info:eu-repo/semantics/altIdentifier/pissn/1351-0711; info:eu-repo/semantics/altIdentifier/eissn/1470-7926
DOI: 10.1136/oemed-2023-109184
Availability: https://research.manchester.ac.uk/en/publications/53936ad2-28d1-435a-9eac-d440758297b4; https://doi.org/10.1136/oemed-2023-109184; https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_starter&SrcAuth=WosAPI&KeyUT=WOS:001188995600001&DestLinkType=FullRecord&DestApp=WOS_CPL; https://www.scopus.com/pages/publications/85188646353; https://www.mendeley.com/catalogue/2048e6a1-953e-3348-a6b1-2bf173206df6/
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.1C33C3B5
Database: BASE