Examination of models for cholera

insights into model comparison methods

Authors

  • Olcay Akman Department of Mathematics, Illinois State University, Normal, IL, USA Author
  • Marina Romadan Corby Department of Mathematics, Computer Science and Statistics, University of Illinois at Chicago, Chicago, IL, USA Author
  • Elsa Schaefer Department of Mathematics, Marymount University, Arlington, TX, USA Author

DOI:

https://doi.org/10.30707/LiB3.1Akman

Keywords:

Model comparison, AIC, cholera

Abstract

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.

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Published

2023-11-11

Issue

Section

Research

How to Cite

Examination of models for cholera: insights into model comparison methods. (2023). Letters in Biomathematics, 3(1), 93–118. https://doi.org/10.30707/LiB3.1Akman

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