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Navigating hospitals safely through the COVID-19 epidemic tide: Predicting case load for adjusting bed capacity.

Tjibbe DonkerFabian M BürkinMartin WolkewitzChristian HaverkampDominic ChristoffelOliver KappertThorsten HammerHans-Jörg BuschPaul BieverJohannes KalbhennHartmut BürkleWinfried V KernFrederik WenzHajo Grundmann
Published in: Infection control and hospital epidemiology (2020)
The models provided data-based guidance for the preparation and allocation of critical resources of a university hospital well in advance of the epidemic surge, despite overestimating the service demand. Overestimates should resolve when the population contact pattern before and during restrictions can be taken into account, but for now they may provide an acceptable safety margin for preparing during times of uncertainty.
Keyphrases
  • healthcare
  • coronavirus disease
  • sars cov
  • mental health
  • big data
  • molecularly imprinted
  • machine learning