Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app.


Journal

Thorax
ISSN: 1468-3296
Titre abrégé: Thorax
Pays: England
ID NLM: 0417353

Informations de publication

Date de publication:
07 2021
Historique:
received: 24 04 2020
revised: 23 11 2020
accepted: 24 11 2020
pubmed: 31 12 2020
medline: 2 7 2021
entrez: 30 12 2020
Statut: ppublish

Résumé

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

Identifiants

pubmed: 33376145
pii: thoraxjnl-2020-215119
doi: 10.1136/thoraxjnl-2020-215119
pmc: PMC8223682
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

723-725

Subventions

Organisme : Wellcome Trust
ID : WT213038/Z/18/Z
Pays : United Kingdom
Organisme : Medical Research Council
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT203148/Z/16/Z
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: TDS is a consultant to Zoe Global Ltd ('Zoe'). SG, JC, EB, RD and JW are or have been employees of Zoe Global Limited. Other authors have no conflict of interest to declare.

Références

Science. 2020 Jun 19;368(6497):1362-1367
pubmed: 32371477
Nat Commun. 2020 Nov 12;11(1):5749
pubmed: 33184277
BMJ Open. 2018 Dec 19;8(12):e023275
pubmed: 30573483
BMJ. 2020 Feb 24;368:m693
pubmed: 32094110
Emerg Infect Dis. 2008 May;14(5):709-15
pubmed: 18439350
Sci Total Environ. 2008 Jul 15;398(1-3):212-21
pubmed: 18440599
Nat Med. 2020 Jul;26(7):1037-1040
pubmed: 32393804
BMJ. 2020 Apr 20;369:m1548
pubmed: 32312785

Auteurs

Ruth C E Bowyer (RCE)

Twin Research, King's College London, London, UK.

Thomas Varsavsky (T)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Ellen J Thompson (EJ)

Twin Research, King's College London, London, UK.

Carole H Sudre (CH)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
MRC Unit for Lifelong Health and Ageing, University College London, London, UK.

Benjamin A K Murray (BAK)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Maxim B Freidin (MB)

Twin Research, King's College London, London, UK.

Darioush Yarand (D)

Twin Research, King's College London, London, UK.

Sajaysurya Ganesh (S)

Zoe Global Limited, London, UK.

Joan Capdevila (J)

Zoe Global Limited, London, UK.

Elco Bakker (E)

Zoe Global Limited, London, UK.

M Jorge Cardoso (MJ)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Richard Davies (R)

Zoe Global Limited, London, UK.

Jonathan Wolf (J)

Zoe Global Limited, London, UK.

Tim D Spector (TD)

Twin Research, King's College London, London, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Claire J Steves (CJ)

Twin Research, King's College London, London, UK.

Cristina Menni (C)

Twin Research, King's College London, London, UK cristina.menni@kcl.ac.uk.

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Classifications MeSH