Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing
Author
Allen, William E.Altae-Tran, Han
Briggs, James
Jin, Xin
McGee, Glen
Shi, Andy
Raghavan, Rumya
Kamariza, Mireille
Nova, Nicole
Pereta, Albert
Danford, Chris
Kamel, Amine
Gothe, Patrik
Milam, Evrhet
Aurambault, Jean
Primke, Thorben
Li, Weijie
Inkenbrandt, Josh
Huynh, Tuan
Chen, Evan
Lee, Christina
Croatto, Michael
Bentley, Helen
Lu, Wendy
Murray, Robert
Travassos, Mark
Coull, Brent A.
Openshaw, John
Greene, Casey S.
Shalem, Ophir
King, Gary
Probasco, Ryan
Cheng, David R.
Silbermann, Ben
Zhang, Feng
Lin, Xihong
Date
2020-08-26Journal
Nature Human BehaviourPublisher
Springer Science and Business Media LLCType
Article
Metadata
Show full item recordAbstract
Despite the widespread implementation of public health measures, coronavirus disease 2019 (COVID-19) continues to spread in the United States. To facilitate an agile response to the pandemic, we developed How We Feel, a web and mobile application that collects longitudinal self-reported survey responses on health, behaviour and demographics. Here, we report results from over 500,000 users in the United States from 2 April 2020 to 12 May 2020. We show that self-reported surveys can be used to build predictive models to identify likely COVID-19-positive individuals. We find evidence among our users for asymptomatic or presymptomatic presentation; show a variety of exposure, occupational and demographic risk factors for COVID-19 beyond symptoms; reveal factors for which users have been SARS-CoV-2 PCR tested; and highlight the temporal dynamics of symptoms and self-isolation behaviour. These results highlight the utility of collecting a diverse set of symptomatic, demographic, exposure and behavioural self-reported data to fight the COVID-19 pandemic. © 2020, The Author(s).Sponsors
National Cancer InstituteKeyword
How We Feel ProjectCOVID-19--epidemiology
COVID-19--prevention & control
Data Collection--methods
Epidemiological Monitoring
Mobile Applications
Self Report
Identifier to cite or link to this item
http://hdl.handle.net/10713/13624ae974a485f413a2113503eed53cd6c53
10.1038/s41562-020-00944-2
Scopus Count
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