Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing

William E. Allen (), Han Altae-Tran, James Briggs, Xin Jin, Glen McGee, Andy Shi, Rumya Raghavan, Mireille Kamariza, Nicole Nova, Albert Pereta, Chris Danford, Amine Kamel, Patrik Gothe, Evrhet Milam, Jean Aurambault, Thorben Primke, Weijie Li, Josh Inkenbrandt, Tuan Huynh, Evan Chen, Christina Lee, Michael Croatto, Helen Bentley, Wendy Lu, Robert Murray, Mark Travassos, Brent A. Coull, John Openshaw, Casey S. Greene, Ophir Shalem, Gary King, Ryan Probasco, David R. Cheng, Ben Silbermann, Feng Zhang () and Xihong Lin ()
Additional contact information
William E. Allen: The How We Feel Project
Han Altae-Tran: The How We Feel Project
James Briggs: The How We Feel Project
Xin Jin: The How We Feel Project
Glen McGee: The How We Feel Project
Andy Shi: The How We Feel Project
Rumya Raghavan: The How We Feel Project
Mireille Kamariza: The How We Feel Project
Nicole Nova: The How We Feel Project
Albert Pereta: The How We Feel Project
Chris Danford: The How We Feel Project
Amine Kamel: The How We Feel Project
Patrik Gothe: The How We Feel Project
Evrhet Milam: The How We Feel Project
Jean Aurambault: The How We Feel Project
Thorben Primke: The How We Feel Project
Weijie Li: The How We Feel Project
Josh Inkenbrandt: The How We Feel Project
Tuan Huynh: The How We Feel Project
Evan Chen: The How We Feel Project
Christina Lee: The How We Feel Project
Michael Croatto: The How We Feel Project
Helen Bentley: The How We Feel Project
Wendy Lu: The How We Feel Project
Robert Murray: The How We Feel Project
Mark Travassos: The How We Feel Project
Brent A. Coull: Harvard T.H. Chan School of Public Health
John Openshaw: The How We Feel Project
Casey S. Greene: The How We Feel Project
Ophir Shalem: The How We Feel Project
Gary King: The How We Feel Project
Ryan Probasco: The How We Feel Project
David R. Cheng: The How We Feel Project
Ben Silbermann: The How We Feel Project
Feng Zhang: The How We Feel Project
Xihong Lin: The How We Feel Project

Nature Human Behaviour, 2020, vol. 4, issue 9, 972-982

Abstract: Abstract 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.

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.nature.com/articles/s41562-020-00944-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:4:y:2020:i:9:d:10.1038_s41562-020-00944-2

Ordering information: This journal article can be ordered from
https://www.nature.com/nathumbehav/

DOI: 10.1038/s41562-020-00944-2

Access Statistics for this article

Nature Human Behaviour is currently edited by Stavroula Kousta

More articles in Nature Human Behaviour from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().