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

BACKGROUND: Traditional viral illness surveillance relies on in-person clinical or laboratory data, paper-based data collection, and outdated technology for data transfer and aggregation. We aimed to assess whether continuous sensor data can provide an early warning signal for COVID-19 activity as i...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499390/
https://www.ncbi.nlm.nih.gov/pubmed/36154810
http://dx.doi.org/10.1016/S2589-7500(22)00156-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499390/
https://www.ncbi.nlm.nih.gov/pubmed/36154810
http://dx.doi.org/10.1016/S2589-7500(22)00156-X

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