Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing
Author(s)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; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Department of Biological Engineering; Harvard University--MIT Division of Health Sciences and Technology; McGovern Institute for Brain Research at MIT; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Nature Human Behaviour
Springer Science and Business Media LLC
Allen, William E. et al. "Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing." Nature Human Behaviour 4, 9 (August 2020): 972–982 © 2020 The Author(s)