Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study-Reference-Cited by-同舟云学术

Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study

Published:2022-11 Issue:11 Volume:4 Page:e777-e786
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Radin Jennifer M,Quer Giorgio,Pandit Jay A,Gadaleta Matteo,Baca-Motes Katie,Ramos Edward,Coughlin Erin,Quartuccio Katie,Kheterpal Vik,Wolansky Leo M,Steinhubl Steven R,Topol Eric J

Funder

Amazon Web Services Inc

National Institutes of Health

Rockefeller Foundation

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference26 articles.

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2. Pre-symptomatic detection of COVID-19 from smartwatch data;Mishra;Nat Biomed Eng,2020

3. Analyzing changes in respiratory rate to predict the risk of COVID-19 infection;Miller;PLoS One,2020

4. Feasibility of continuous fever monitoring using wearable devices;Smarr;Sci Rep,2020

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