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Modeling the spread of COVID‐19 in New York City

This paper proposes an ensemble predictor for the weekly increase in the number of confirmed COVID‐19 cases in the city of New York at zip code level. Within a Bayesian model averaging framework, the baseline is a Poisson regression for count data. The set of covariates includes autoregressive terms...

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Detalles Bibliográficos
Autores principales:	Olmo, Jose, Sanso‐Navarro, Marcos
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Full Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242800/ https://www.ncbi.nlm.nih.gov/pubmed/34226811 http://dx.doi.org/10.1111/pirs.12615

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