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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PLoS Comput Biol
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2021
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8031749/
https://ncbi.nlm.nih.gov/pubmed/33780443
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008837
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