Communications Medicine (Dec 2022)

Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system

  • Martin Bicher,
  • Martin Zuba,
  • Lukas Rainer,
  • Florian Bachner,
  • Claire Rippinger,
  • Herwig Ostermann,
  • Nikolas Popper,
  • Stefan Thurner,
  • Peter Klimek

DOI
https://doi.org/10.1038/s43856-022-00219-z
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 11

Abstract

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Bicher, Zuba et al. consolidate the output of three epidemiological models to perform weekly forecasts of COVID-19 cases and required hospital beds. The predictions are more accurate than the individual models and enable planning of health care and COVID-19 interventions by national decision-makers.