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

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  • Thomas Byrne
  • Jana Kovar
  • Sarah Beale
  • Isobel Braithwaite
  • Ellen Fragaszy
  • Wing Lam Erica Fong
  • Cyril Geismar
  • Susan Hoskins
  • Annalan M.D. Navaratnam
  • Vincent Nguyen
  • Parth Patel
  • Madhumita Shrotri
  • Alexei Yavlinsky
  • Pia Hardelid
  • Linda Wijlaars
  • Eleni Nastouli
  • Moira Spyer
  • Anna Aryee
  • Vasileios Lampos
  • Rachel A. McKendry
  • Tao Cheng
  • Anne M. Johnson
  • Susan Michie
  • Jo Gibbs
  • Richard Gilson
  • Alison Rodger
  • Ibrahim Abubakar
  • Andrew Hayward
  • Robert W. Aldridge
This article aims to provide evidence on which public health approaches are most likely to be effective in reducing the spread and impact of the virus and investigates community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviour. In all, 28,527 households and 58,628 participants of age (0-98 years, mean age 48), were recruited between June 2020 and March 2022. Data collected include demographics and details of occupation, comorbidities, medications and infection-prevention behaviours. Households are followed up weekly with illness surveys capturing symptoms and their severity, activities in the week prior to symptom onset and any COVID-19 test results. Additional occasional surveys capture household finance, employment, mental health, access to health care, vaccination uptake, activities and contacts. Data have been linked to Hospital Episode Statistics (HES), inpatient and critical care episodes, outpatient visits, emergency care contacts, mortality, virology testing and vaccination data held by National Health Service (NHS) Digital. Nested within Virus Watch are a serology and Polymerase Chain Reaction (PCR) cohort study (n=12,877) and a vaccine evaluation study (n=19,555).
Original languageEnglish
JournalInternational Journal of Epidemiology
Volume52
Issue number5
Pages (from-to)E263-E272
ISSN0300-5771
DOIs
Publication statusPublished - 2023

ID: 381735952