Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model

Predictions of COVID-19 case growth and mortality are critical to the decisions of political leaders, businesses, and individuals grappling with the pandemic. This predictive task is challenging due to the novelty of the virus, limited data, and dynamic political and societal responses. We embed a B...

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Detalles Bibliográficos
Autores principales: Watson, Gregory L., Xiong, Di, Zhang, Lu, Zoller, Joseph A., Shamshoian, John, Sundin, Phillip, Bufford, Teresa, Rimoin, Anne W., Suchard, Marc A., Ramirez, Christina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031749/
https://www.ncbi.nlm.nih.gov/pubmed/33780443
http://dx.doi.org/10.1371/journal.pcbi.1008837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031749/
https://www.ncbi.nlm.nih.gov/pubmed/33780443
http://dx.doi.org/10.1371/journal.pcbi.1008837

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