Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales

Autor: Jana Kovar, Isobel Braithwaite, Thomas Byrne, Nguyen, Delan Devakumar, Srinivasa Vittal Katikireddi, Robert W Aldridge, Andrew Hayward, Parth Patel, Jonathon Taylor, Cyril Geismar, Anna Aryee, CJ Smith, Madhumita Shrotri, Max T. Eyre, Ellen Fragaszy, Anne M Johnson, Navaratnam Amd, Helen Pineo, Sarah Beale, Erica Fong Wl

Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7a810fb8e8286c396f63660fbbb77d5
https://doi.org/10.1101/2021.05.10.21256912

Eyeglasses and risk of COVID-19 transmission-analysis of the Virus Watch Community Cohort study.

Autor: Navaratnam AMD; Institute of Health Informatics, University College London, London, UK. Electronic address: a.navaratnam@ucl.ac.uk., O'Callaghan C; Infection, Immunity & Inflammation Department, Great Ormond Street Institute of Child Health, University College London, London, UK., Beale S; Institute of Health Informatics, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK., Nguyen V; Institute of Health Informatics, University College London, London, UK., Aryee A; Institute of Health Informatics, University College London, London, UK., Braithwaite I; Institute of Health Informatics, University College London, London, UK., Byrne TE; Institute of Health Informatics, University College London, London, UK., Fong WLE; Institute of Health Informatics, University College London, London, UK., Fragaszy E; Institute of Health Informatics, University College London, London, UK; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Geismar C; Institute of Health Informatics, University College London, London, UK., Hoskins S; Institute of Health Informatics, University College London, London, UK., Kovar J; Institute of Epidemiology and Health Care, University College London, London, UK., Patel P; Institute of Health Informatics, University College London, London, UK., Shrotri M; Institute of Health Informatics, University College London, London, UK., Weber S; Institute of Health Informatics, University College London, London, UK., Yavlinsky A; Institute of Health Informatics, University College London, London, UK., Aldridge RW; Institute of Health Informatics, University College London, London, UK., Hayward AC; Institute of Epidemiology and Health Care, University College London, London, UK.

Publikováno v: International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [Int J Infect Dis] 2024 Feb; Vol. 139, pp. 28-33. Date of Electronic Publication: 2023 Nov 25.

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.

Autor: Hoskins S; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK., Beale S; 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., Nguyen VG; 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., Byrne T; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK., Yavlinsky A; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK., Kovar J; Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK., Fong EWL; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK., Geismar C; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK.; Department of Infectious Disease Epidemiology, Imperial College London, London, W2 1NY, UK., Navaratnam AMD; 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., van Tongeren M; Centre for Occupational and Environmental Health, The University of Manchester, Manchester, England, UK., Johnson AM; Institute for Global Health, University College London, London, England, WC1E 6BT, UK., Aldridge RW; Institute of Health Informatics, University College London, London, England, NW1 2DA, UK., Hayward A; Institute of Epidemiology and Health Care, University College London, London, WC1E 6BT, UK.

Publikováno v: NIHR open research [NIHR Open Res] 2023 Nov 03; Vol. 3, pp. 58. Date of Electronic Publication: 2023 Nov 03 (Print Publication: 2023).

Cohort Profile: Virus Watch-understanding community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviour.

Autor: Byrne T; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Kovar J; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Beale S; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.; Institute of Epidemiology and Health Care, University College London, London, UK., Braithwaite I; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Fragaszy E; Institute of Epidemiology and Health Care, University College London, London, UK.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Fong WLE; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Geismar C; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK., Hoskins S; Institute of Epidemiology and Health Care, University College London, London, UK., Navaratnam AMD; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.; Institute of Epidemiology and Health Care, University College London, London, UK., Nguyen V; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.; Institute of Epidemiology and Health Care, University College London, London, UK., Patel P; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Shrotri M; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Yavlinsky A; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Hardelid P; Department of Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK., Wijlaars L; Department of Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK., Nastouli E; Department of Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.; Francis Crick Institute, London, UK.; University College London Hospital, London, UK., Spyer M; Francis Crick Institute, London, UK., Aryee A; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK., Cox I; Department of Computer Science, University College London, London, UK., Lampos V; Department of Computer Science, University College London, London, UK., Mckendry RA; London Centre for Nanotechnology and Division of Medicine, University College London, London, UK., Cheng T; SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK., Johnson AM; Centre for Population Research in Sexual Health and HIV, Institute for Global Health, London, UK., Michie S; Centre for Behaviour Change, University College London, London, UK., Gibbs J; Institute for Global Health, University College London, London, UK., Gilson R; Institute for Global Health, University College London, London, UK., Rodger A; Institute for Global Health, University College London, London, UK.; Royal Free London NHS Foundation Trust, London, UK., Abubakar I; Institute for Global Health, University College London, London, UK., Hayward A; Institute of Epidemiology and Health Care, University College London, London, UK., Aldridge RW; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.

Publikováno v: International journal of epidemiology [Int J Epidemiol] 2023 Oct 05; Vol. 52 (5), pp. e263-e272.

Comparative effectiveness of different primary vaccination courses on mRNA-based booster vaccines against SARs-COV-2 infections: a time-varying cohort analysis using trial emulation in the Virus Watch community cohort.

Autor: Nguyen VG; Institute of Health Informatics, University College London, London, UK.; Institute of Epidemiology and Health Care, University College London, London, UK., Yavlinsky A; Institute of Health Informatics, University College London, London, UK., Beale S; Institute of Health Informatics, University College London, London, UK.; Institute of Epidemiology and Health Care, University College London, London, UK., Hoskins S; Institute of Epidemiology and Health Care, University College London, London, UK., Byrne TE; Institute of Health Informatics, University College London, London, UK., Lampos V; Department of Computer Science, University College London, London, UK., Braithwaite I; Institute of Health Informatics, University College London, London, UK., Fong WLE; Institute of Health Informatics, University College London, London, UK., Fragaszy E; Institute of Health Informatics, University College London, London, UK.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Geismar C; Institute of Health Informatics, University College London, London, UK., Kovar J; Institute of Epidemiology and Health Care, University College London, London, UK., Navaratnam AMD; Institute of Health Informatics, University College London, London, UK., Patel P; Institute of Health Informatics, University College London, London, UK., Shrotri M; Institute of Health Informatics, University College London, London, UK., Weber S; Institute of Health Informatics, University College London, London, UK., Hayward AC; Institute of Epidemiology and Health Care, University College London, London, UK., Aldridge RW; Institute of Health Informatics, University College London, London, UK.

Publikováno v: International journal of epidemiology [Int J Epidemiol] 2023 Apr 19; Vol. 52 (2), pp. 342-354.