Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units

This paper presents a mathematical model that provides a real-time forecast of the number of COVID-19 patients admitted to the ward and the Intensive Care Unit (ICU) of a hospital based on the predicted inflow of patients, their Length of Stay (LoS) in both the ward and the ICU as well as transfer o...

Descripción completa

Detalles Bibliográficos
Autores principales: Baas, Stef, Dijkstra, Sander, Braaksma, Aleida, van Rooij, Plom, Snijders, Fieke J., Tiemessen, Lars, Boucherie, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993447/
https://www.ncbi.nlm.nih.gov/pubmed/33768389
http://dx.doi.org/10.1007/s10729-021-09553-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993447/
https://www.ncbi.nlm.nih.gov/pubmed/33768389
http://dx.doi.org/10.1007/s10729-021-09553-5

Ejemplares similares