期刊
NATURE HUMAN BEHAVIOUR
卷 4, 期 9, 页码 972-+出版社
NATURE PORTFOLIO
DOI: 10.1038/s41562-020-00944-2
关键词
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资金
- Bill & Melinda Gates Foundation
- Harvard University
- NCI [R35-CA197449-05]
- Howard Hughes Medical Institute
- McGovern Foundation
- Poitras Center
How We Feel is a web and mobile-phone application for collecting de-identified self-reported COVID-19-related data. These data are used to map a diverse set of symptomatic, demographic, exposure and behavioural factors relevant to the ongoing pandemic. 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.
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