Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Coronavirus disease 2019 (COVID-19) continues to affect the world, and the design of strategies to curb disease outbreaks requires close monitoring of their trajectories. We present machine learning methods that leverage internet-based digital traces to anticipate sharp increases in COVID-19 activit...

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Detalles Bibliográficos
Autores principales: Stolerman, Lucas M., Clemente, Leonardo, Poirier, Canelle, Parag, Kris V., Majumder, Atreyee, Masyn, Serge, Resch, Bernd, Santillana, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Social and Interdisciplinary Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848273/
https://www.ncbi.nlm.nih.gov/pubmed/36652520
http://dx.doi.org/10.1126/sciadv.abq0199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848273/
https://www.ncbi.nlm.nih.gov/pubmed/36652520
http://dx.doi.org/10.1126/sciadv.abq0199

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