Forecasting local hospital bed demand for COVID-19 using on-request simulations

Forecasting local hospital bed demand for COVID-19 using on-request simulations

Abstract Accurate forecasting of hospital bed demand is crucial during infectious disease epidemics to avoid overwhelming healthcare facilities. To address this, we developed an intuitive online tool for individual hospitals to forecast COVID-19 bed demand. The tool utilizes local data, including in...

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Bibliographic Details
Main Authors: Raisa Kociurzynski, Angelo D’Ambrosio, Alexis Papathanassopoulos, Fabian Bürkin, Stephan Hertweck, Vanessa M. Eichel, Alexandra Heininger, Jan Liese, Nico T. Mutters, Silke Peter, Nina Wismath, Sophia Wolf, Hajo Grundmann, Tjibbe Donker
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-48601-8

Internet

https://doi.org/10.1038/s41598-023-48601-8

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