Examination of models for cholera

insights into model comparison methods

  • Olcay Akman Department of Mathematics, Illinois State University, Normal, IL, USA
  • Marina Romadan Corby Department of Mathematics, Computer Science and Statistics, University of Illinois at Chicago, Chicago, IL, USA
  • Elsa Schaefer Department of Mathematics, Marymount University, Arlington, TX, USA
Keywords: Model comparison, AIC, cholera


This article provides an overview of the Akaike and Bayesian Information Criteria as applied to the setting of deterministic modelling, with the perspective that this may be a useful tool for biomathematics researchers whose primary interests lie in the analysis of compartmental models. We additionally examine a wide range mechanistic and parameter assumptions in the cholera literature through the unifying lens of model selection criteria. Five models for cholera are considered using multiple model selection formulations, and implications for cholera modelling and for model selection criteria are discussed.

How to Cite
Akman, Olcay, Marina Romadan Corby, and Elsa Schaefer. 2016. “Examination of Models for Cholera”. Letters in Biomathematics 3 (1), 93–118. https://doi.org/10.1080/23737867.2016.1211495.

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