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...
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-12-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-48601-8 |
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