Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference

BACKGROUND: One of the main challenges of the COVID-19 pandemic is to make sense of available, but often heterogeneous and noisy data. This contribution presents a data-driven methodology that allows exploring the hospitalization dynamics of COVID-19, exemplified with a study of 17 autonomous region...

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Detalles Bibliográficos
Autores principales: Aleta, Alberto, Blas-Laína, Juan Luis, Tirado Anglés, Gabriel, Moreno, Yamir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875773/
https://www.ncbi.nlm.nih.gov/pubmed/36698070
http://dx.doi.org/10.1186/s12874-023-01842-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875773/
https://www.ncbi.nlm.nih.gov/pubmed/36698070
http://dx.doi.org/10.1186/s12874-023-01842-7

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