Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

Journal: PloS one
PMID: 34525098

Abstract

BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.

Authors

  • Alpha Forna
    School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
  • Ilaria Dorigatti
    Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.
  • Pierre Nouvellet
    Pierre Nouvellet, PhD, is a Reader, School of Life Sciences, University of Sussex, Brighton, UK.
  • Christl A Donnelly
    Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.

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