Agent-based vs. equation-based epidemiological models: A model selection case study

Sreenivas R. Sukumar, James J. Nutaro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

This paper is motivated by the need to design model validation strategies for epidemiological disease-spread models. We consider both agent-based and equation-based models of pandemic disease spread and study the nuances and complexities one has to consider from the perspective of model validation. For this purpose, we instantiate an equation-based model and an agent-based model of the 1918 Spanish flu and we leverage data published in the literature for our case study. We present our observations from the perspective of each implementation and discuss the application of model-selection criteria to compare the risk in choosing one modeling paradigm to another. We conclude with a discussion of our experience and document future ideas for a model validation framework.

Original languageEnglish
Title of host publicationProceedings of the 2012 ASE International Conference on BioMedical Computing, BioMedCom 2012
PublisherIEEE Computer Society
Pages74-79
Number of pages6
ISBN (Print)9780769549385
DOIs
StatePublished - 2012
Event2012 ASE International Conference on BioMedical Computing, BioMedCom 2012 - Washington, DC, United States
Duration: Dec 14 2012Dec 16 2012

Publication series

NameProceedings of the 2012 ASE International Conference on BioMedical Computing, BioMedCom 2012

Conference

Conference2012 ASE International Conference on BioMedical Computing, BioMedCom 2012
Country/TerritoryUnited States
CityWashington, DC
Period12/14/1212/16/12

Keywords

  • Spanish flu
  • agent-based models
  • epidemiological models
  • model selection
  • model validation

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