Nature Communications (Feb 2019)

On the predictability of infectious disease outbreaks

  • Samuel V. Scarpino,
  • Giovanni Petri

DOI
https://doi.org/10.1038/s41467-019-08616-0
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 8

Abstract

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Forecasting of infectious disease outbreaks can inform appropriate intervention measures, but whether fundamental limits to accurate prediction exist is unclear. Here, the authors use permutation entropy as a model independent measure of predictability to study limitations across a broad set of infectious diseases.