All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting

Timely, high-resolution forecasts of infectious disease incidence are useful for policy makers in deciding intervention measures and estimating healthcare resource burden. In this paper, we consider the task of forecasting COVID-19 confirmed cases at the county level for the United States. Although...

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Publicado en:medRxiv
Main Authors: Adiga, Aniruddha, Wang, Lijing, Hurt, Benjamin, Peddireddy, Akhil, Porebski, Przemyslaw, Venkatramanan, Srinivasan, Lewis, Bryan, Marathe, Madhav
Formato: Artigo
Idioma:Inglês
Publicado: Cold Spring Harbor Laboratory 2021
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7987052/
https://ncbi.nlm.nih.gov/pubmed/33758893
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2021.03.12.21253495
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