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

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

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.

Afiliación

Watson GL; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Xiong D; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Zhang L; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Zoller JA; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Shamshoian J; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Sundin P; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Bufford T; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Rimoin AW; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Suchard MA; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, California, United States of America.
Ramirez CM; Departments of Computational Medicine and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, United States of America.

PLoS Comput Biol ; 17(3): e1008837, 2021 03.

Article en En | MEDLINE | ID: mdl-33780443

Asunto(s)

COVID-19/epidemiología; COVID-19/mortalidad; Predicción/métodos; Modelos Estadísticos; Pandemias/estadística & datos numéricos; SARS-CoV-2; Algoritmos; Teorema de Bayes; COVID-19/transmisión; Biología Computacional; Humanos; Aprendizaje Automático; Estados Unidos/epidemiología

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Pandemias / Predicción / SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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