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Laarman C, Hahné SJ, de Melker HE, Knol MJ. SARS-CoV-2 risk factors among symptomatic vaccinated adults attending community testing locations in the Netherlands from June 2021 till February 2022. PLoS One 2024; 19:e0311229. [PMID: 39774370 PMCID: PMC11684634 DOI: 10.1371/journal.pone.0311229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 09/13/2024] [Indexed: 01/11/2025] Open
Abstract
INTRODUCTION Most studies on risk factors for a SARS-CoV-2 infection were conducted in the pre-vaccination era with many non-pharmaceutical prevention measures in place. We investigated risk factors for symptomatic SARS-CoV-2 infections in vaccinated persons in a period with a varying degree of prevention measures. METHODS In a test-negative case control study among vaccinated adults attending community COVID-19 testing locations between June 1st 2021 till February 28th 2022, we compared symptomatic cases with symptomatic controls (to study risk factors specific for SARS-CoV-2) and with asymptomatic controls (to study risk factors that could apply to respiratory infections in general). We examined potential risk factors including household composition and mitigation behaviour by logistic regression, adjusting for age, sex, and week of testing. RESULTS Risk factors for a positive SARS-CoV-2 test when symptomatic cases were compared to symptomatic controls were: having a household size of more than 4 (adjusted odds ratio: 1.47; 95% CI 1.14-1.92), being a healthcare worker (1.27;1.18-1.47), and visiting busy locations outside (1.49;1.19-1.87). When symptomatic cases were compared to asymptomatic controls, a household size of more than 4 members (1.71;1.25-2.33), living with children aged 0-12 (1.59;1.12-2.26), visiting busy locations outside (1.64;1.24-2.17) were independent risk factors for a positive SARS-CoV-2 test. Risk factors for separate periods and waves differed from the study period as a whole. CONCLUSION This study was conducted in a period with a varying degree of prevention measures. Among vaccinated individuals, we identified several SARS-CoV-2 specific risk factors and SARS-CoV-2 risk factors that could be more general for respiratory infections. For SARS-CoV-2 transmission more attention could be given to visiting busy outdoor locations, having a household size that consists of more than 4 persons, being a healthcare worker, and living with children aged 0-12. Risk factors varied with different phases in the pandemic, emphasizing the importance of repeated assessment of risk factors.
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Affiliation(s)
- Claudia Laarman
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Susan J. Hahné
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Hester E. de Melker
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Mirjam J. Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
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Ghoroubi N, Counil E, Khlat M. Potential Work-related Exposure to SARS-CoV-2 by Standard Occupational Grouping Based on Pre-lockdown Working Conditions in France. Saf Health Work 2023; 14:488-491. [PMID: 38187207 PMCID: PMC10770273 DOI: 10.1016/j.shaw.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/12/2023] [Accepted: 10/23/2023] [Indexed: 01/09/2024] Open
Abstract
This study aims to ascertain occupations potentially at greatest risk of exposure to SARS-CoV-2 based on pre-lockdown working conditions in France. We combined two French population-based surveys documenting workplace exposures to infectious agents, face-to-face contact with the public, and working with colleagues just before the pandemic. Then, for each 87-level standard French occupational grouping, we estimated the number and percentage of the French working population reporting these occupational exposure factors, by gender, using survey weights. As much as 40% (11 million) of all workers reported at least two exposure factors. Most of the workers concerned were in the healthcare sector. However, army/police officers, firefighters, hairdressers, teachers, cultural/sports professionals, and some manual workers were also exposed. Women were overrepresented in certain occupations with potentially higher risks of exposure such as home caregivers, childminders, and hairdressers. Our gender-stratified matrix can be used to assign prelockdown work-related exposures to cohorts implemented during the pandemic.
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Affiliation(s)
- Narges Ghoroubi
- Mortality, Health and Epidemiology Research Unit, The French Institute for Demographic Studies (Ined), Aubervilliers, France
- Doctoral School of Public Health (EDSP), Paris Saclay University, Villejuif, France
| | - Emilie Counil
- Mortality, Health and Epidemiology Research Unit, The French Institute for Demographic Studies (Ined), Aubervilliers, France
- Institut de Recherche Interdisciplinaire sur les Enjeux Sociaux – Sciences Sociales, Politique, Santé, IRIS (UMR 8156 CNRS – EHESS – U997 INSERM), Aubervilliers, France
| | - Myriam Khlat
- Mortality, Health and Epidemiology Research Unit, The French Institute for Demographic Studies (Ined), Aubervilliers, France
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Hoskins S, Beale S, Nguyen VG, Byrne T, Yavlinsky A, Kovar J, Fong EWL, Geismar C, Navaratnam AMD, van Tongeren M, Johnson AM, Aldridge RW, Hayward A. The changing contributory role to infections of work, public transport, shopping, hospitality and leisure activities throughout the SARS-CoV-2 pandemic in England and Wales. NIHR OPEN RESEARCH 2023; 3:58. [PMID: 39286314 PMCID: PMC11403290 DOI: 10.3310/nihropenres.13443.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 10/26/2023] [Indexed: 09/19/2024]
Abstract
Background Understanding how non-household activities contributed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections under different levels of national health restrictions is vital. Methods Among adult Virus Watch participants in England and Wales, we used multivariable logistic regressions and adjusted-weighted population attributable fractions (aPAF) assessing the contribution of work, public transport, shopping, and hospitality and leisure activities to infections. Results Under restrictions, among 17,256 participants (502 infections), work [adjusted odds ratio (aOR) 2.01 (1.65-2.44), (aPAF) 30% (22-38%)] and transport [(aOR 1.15 (0.94-1.40), aPAF 5% (-3-12%)], were risk factors for SARS-CoV-2 but shopping, hospitality and leisure were not. Following the lifting of restrictions, among 11,413 participants (493 infections), work [(aOR 1.35 (1.11-1.64), aPAF 17% (6-26%)] and transport [(aOR 1.27 (1.04-1.57), aPAF 12% (2-22%)] contributed most, with indoor hospitality [(aOR 1.21 (0.98-1.48), aPAF 7% (-1-15%)] and leisure [(aOR 1.24 (1.02-1.51), aPAF 10% (1-18%)] increasing. During the Omicron variant, with individuals more socially engaged, among 11,964 participants (2335 infections), work [(aOR 1.28 (1.16-1.41), aPAF (11% (7-15%)] and transport [(aOR 1.16 (1.04-1.28), aPAF 6% (2-9%)] remained important but indoor hospitality [(aOR 1.43 (1.26-1.62), aPAF 20% (13-26%)] and leisure [(aOR 1.35 (1.22-1.48), aPAF 10% (7-14%)] dominated. Conclusions Work and public transport were important to transmissions throughout the pandemic with hospitality and leisure's contribution increasing as restrictions were lifted, highlighting the importance of restricting leisure and hospitality alongside advising working from home, when facing a highly infectious and virulent respiratory infection.
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Affiliation(s)
- Susan Hoskins
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
| | - Sarah Beale
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
- Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK
| | - Vincent G Nguyen
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
- Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK
| | - Thomas Byrne
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
| | - Alexei Yavlinsky
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
| | - Jana Kovar
- Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK
| | - Erica Wing Lam Fong
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
| | - Cyril Geismar
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
- Department of Infectious Disease Epidemiology, Imperial College London, London, W2 1NY, UK
| | - Annalan M D Navaratnam
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
- Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK
| | - Martie van Tongeren
- Centre for Occupational and Environmental Health, The University of Manchester, Manchester, England, UK
| | - Anne M Johnson
- Institute for Global Health, University College London, London, England, WC1E 6BT, UK
| | - Robert W Aldridge
- Institute of Health Informatics, University College London, London, England, NW1 2DA, UK
| | - Andrew Hayward
- Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK
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