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Open Access

Peer-reviewed

Research Article

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

Alpha Forna ,

Roles Conceptualization, Data curation, Formal analysis, Visualization, Writing – original draft, Writing – review & editing

* E-mail: aforna@sfu.ca

Affiliation School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada

https://orcid.org/0000-0003-4485-8511

⨯
Ilaria Dorigatti,

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom
⨯
Pierre Nouvellet,

Roles Conceptualization, Methodology, Supervision, Visualization, Writing – review & editing

Affiliations Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom, School of Life Sciences, University of Sussex, Brighton, United Kingdom
⨯
Christl A. Donnelly

Roles Conceptualization, Formal analysis, Methodology, Project administration, Resources, Supervision, Visualization, Writing – review & editing

Affiliations Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom, Department of Statistics, University of Oxford, Oxford, United Kingdom
⨯

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

Alpha Forna,
Ilaria Dorigatti,
Pierre Nouvellet,
Christl A. Donnelly

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Published: September 15, 2021
https://doi.org/10.1371/journal.pone.0257005

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Infectious diseases
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