Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Summary: The fight against COVID-19 is hindered by similarly presenting viral infections that may confound detection and monitoring. We examined person-generated health data (PGHD), consisting of survey and commercial wearable data from individuals' everyday lives, for 230 people who reported a COVI...

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Detalhes bibliográficos

Principais autores:	Allison Shapiro, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2021-01-01
coleção:	Patterns
Assuntos:	COVID-19 SARS-CoV-2 influenza-like illness flu person-generated health data digital health
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666389920302580
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