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Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app.
Bowyer, Ruth C E; Varsavsky, Thomas; Thompson, Ellen J; Sudre, Carole H; Murray, Benjamin A K; Freidin, Maxim B; Yarand, Darioush; Ganesh, Sajaysurya; Capdevila, Joan; Bakker, Elco; Cardoso, M Jorge; Davies, Richard; Wolf, Jonathan; Spector, Tim D; Ourselin, Sebastien; Steves, Claire J; Menni, Cristina.
  • Bowyer RCE; Twin Research, King's College London, London, UK.
  • Varsavsky T; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Thompson EJ; Twin Research, King's College London, London, UK.
  • Sudre CH; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Murray BAK; MRC Unit for Lifelong Health and Ageing, University College London, London, UK.
  • Freidin MB; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Yarand D; Twin Research, King's College London, London, UK.
  • Ganesh S; Twin Research, King's College London, London, UK.
  • Capdevila J; Zoe Global Limited, London, UK.
  • Bakker E; Zoe Global Limited, London, UK.
  • Cardoso MJ; Zoe Global Limited, London, UK.
  • Davies R; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Wolf J; Zoe Global Limited, London, UK.
  • Spector TD; Zoe Global Limited, London, UK.
  • Ourselin S; Twin Research, King's College London, London, UK.
  • Steves CJ; School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Menni C; Twin Research, King's College London, London, UK.
Thorax ; 76(7): 723-725, 2021 07.
Article in English | MEDLINE | ID: covidwho-999303
ABSTRACT
Understanding the geographical distribution of COVID-19 through the general population is key to the provision of adequate healthcare services. Using self-reported data from 1 960 242 unique users in Great Britain (GB) of the COVID-19 Symptom Study app, we estimated that, concurrent to the GB government sanctioning lockdown, COVID-19 was distributed across GB, with evidence of 'urban hotspots'. We found a geo-social gradient associated with predicted disease prevalence suggesting urban areas and areas of higher deprivation are most affected. Our results demonstrate use of self-reported symptoms data to provide focus on geographical areas with identified risk factors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Self Report / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Thorax Year: 2021 Document Type: Article Affiliation country: Thoraxjnl-2020-215119

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Self Report / Mobile Applications / COVID-19 Type of study: Observational study / Prognostic study Limits: Adult / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Thorax Year: 2021 Document Type: Article Affiliation country: Thoraxjnl-2020-215119