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Rapid implementation of mobile technology for real-time epidemiology of COVID-19.

Authors :
Drew, David A.
Nguyen, Long H.
Steves, Claire J.
Menni, Cristina
Freydin, Maxim
Varsavsky, Thomas
Sudre, Carole H.
Cardoso, M. Jorge
Ourselin, Sebastien
Wolf, Jonathan
Spector, Tim D.
Chan, Andrew T.
Source :
Science. 6/19/2020, Vol. 368 Issue 6497, p1362-1367. 6p. 2 Diagrams, 2 Graphs.
Publication Year :
2020

Abstract

The rapid pace of the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) Consortium to unite scientists with expertise in big data research and epidemiology to develop the COVID Symptom Study, previously known as the COVID Symptom Tracker, mobile application. This application—which offers data on risk factors, predictive symptoms, clinical outcomes, and geographical hotspots—was launched in the United Kingdom on 24 March 2020 and the United States on 29 March 2020 and has garnered more than 2.8 million users as of 2 May 2020. Our initiative offers a proof of concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-driven response to this public health challenge. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00368075
Volume :
368
Issue :
6497
Database :
Academic Search Index
Journal :
Science
Publication Type :
Academic Journal
Accession number :
143869608
Full Text :
https://doi.org/10.1126/science.abc0473