A hybrid Neural Network-SEIR model for forecasting intensive care occupancy in Switzerland during COVID-19 epidemics

Anticipating intensive care unit (ICU) occupancy is critical in supporting decision makers to impose (or relax) measures that mitigate COVID-19 transmission. Mechanistic approaches such as Susceptible-Infected-Recovered (SIR) models have traditionally been used to achieve this objective. However, fo...

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Detalles Bibliográficos
Autores principales: Delli Compagni, Riccardo, Cheng, Zhao, Russo, Stefania, Van Boeckel, Thomas P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893679/
https://www.ncbi.nlm.nih.gov/pubmed/35239662
http://dx.doi.org/10.1371/journal.pone.0263789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893679/
https://www.ncbi.nlm.nih.gov/pubmed/35239662
http://dx.doi.org/10.1371/journal.pone.0263789

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