Cristina Menni
Real-time tracking of self-reported symptoms to predict potential COVID-19
Menni, Cristina; Valdes, Ana M.; Freidin, Maxim B.; Sudre, Carole H.; Nguyen, Long H.; Drew, David A.; Ganesh, Sajaysurya; Varsavsky, Thomas; Cardoso, M. Jorge; El-Sayed Moustafa, Julia S.; Visconti, Alessia; Hysi, Pirro; Bowyer, Ruth C. E.; Mangino, Massimo; Falchi, Mario; Wolf, Jonathan; Ourselin, Sebastien; Chan, Andrew T.; Steves, Claire J.; Spector, Tim D.
Authors
Professor ANA VALDES Ana.Valdes@nottingham.ac.uk
Professor of Molecular & Genetic Epidemiology
Maxim B. Freidin
Carole H. Sudre
Long H. Nguyen
David A. Drew
Sajaysurya Ganesh
Thomas Varsavsky
M. Jorge Cardoso
Julia S. El-Sayed Moustafa
Alessia Visconti
Pirro Hysi
Ruth C. E. Bowyer
Massimo Mangino
Mario Falchi
Jonathan Wolf
Sebastien Ourselin
Andrew T. Chan
Claire J. Steves
Tim D. Spector
Abstract
A total of 2,618,862 participants reported their potential symptoms of COVID-19 on a smartphone-based app. Among the 18,401 who had undergone a SARS-CoV-2 test, the proportion of participants who reported loss of smell and taste was higher in those with a positive test result (4,668 of 7,178 individuals; 65.03%) than in those with a negative test result (2,436 of 11,223 participants; 21.71%) (odds ratio = 6.74; 95% confidence interval = 6.31–7.21). A model combining symptoms to predict probable infection was applied to the data from all app users who reported symptoms (805,753) and predicted that 140,312 (17.42%) participants are likely to have COVID-19.
Citation
Menni, C., Valdes, A. M., Freidin, M. B., Sudre, C. H., Nguyen, L. H., Drew, D. A., …Spector, T. D. (2020). Real-time tracking of self-reported symptoms to predict potential COVID-19. Nature Medicine, 26, 1037-1040. https://doi.org/10.1038/s41591-020-0916-2
Journal Article Type | Article |
---|---|
Acceptance Date | May 4, 2020 |
Online Publication Date | May 11, 2020 |
Publication Date | Jul 1, 2020 |
Deposit Date | May 12, 2020 |
Publicly Available Date | Mar 28, 2024 |
Journal | Nature Medicine |
Print ISSN | 1078-8956 |
Electronic ISSN | 1546-170X |
Publisher | Nature Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 26 |
Pages | 1037-1040 |
DOI | https://doi.org/10.1038/s41591-020-0916-2 |
Keywords | General Biochemistry, Genetics and Molecular Biology; General Medicine |
Public URL | https://nottingham-repository.worktribe.com/output/4422306 |
Publisher URL | https://www.nature.com/articles/s41591-020-0916-2 |
Additional Information | Received: 10 April 2020; Accepted: 30 April 2020; First Online: 11 May 2020; : T.D.S. and A.M.V. are consultants to Zoe Global. S.G. and J.W. are employees of Zoe Global.; Free to read: This content has been made available to all. |
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