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Author(s) Drew, David A.; Nguyen, Long H.; Steves, Claire J. et al.

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

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Science
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The rapid pace of the severe acute respiratory syndrome coronavirus pandemic (COVID-19) presents challenges to the robust collection of population-scale data to address this global health crisis. The COronavirus Pandemic Epidemiology (COPE) consortium was established to bring together scientists with expertise in big data research and epidemiology to develop a COVID-19 Symptom Tracker mobile application that we launched in the UK and the US. This mobile application offers data on risk factors, herald symptoms, clinical outcomes, and geographical hot spots. This initiative offers critical 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.

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

Document links last validated on: 16 July 2021

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Hazards Epidemic and Pandemic
Themes Risk identification and assessment Science and technology
Country and region United Kingdom of Great Britain and Northern Ireland United States of America
ISBN/ISSN/DOI
10.1126/science.abc0473 (DOI)
Number of pages
9 p.
Publication year
2020

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