Model alignment of anthrax attack simulations

  • Authors:

  • Li-Chiou Chen;Kathleen M. Carley;Douglas Fridsma;Boris Kaminsky;Alex Yahja

  • Affiliations:

  • Institute for Software Research, International School of Computer Science, Carnegie Mellon University, 231 Smith Hall, Pittsburgh, PA 15213, United States;Institute for Software Research, International School of Computer Science, Carnegie Mellon University, 231 Smith Hall, Pittsburgh, PA 15213, United States;Center for Biomedical Informatics, School of Medicine, University of Pittsburgh, United States;Institute for Software Research, International School of Computer Science, Carnegie Mellon University, 231 Smith Hall, Pittsburgh, PA 15213, United States;Institute for Software Research, International School of Computer Science, Carnegie Mellon University, 231 Smith Hall, Pittsburgh, PA 15213, United States

  • Venue:
  • Decision Support Systems - Special issue: Intelligence and security informatics
  • Year:
  • 2006

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Abstract

This paper describes our experience aligning two simulation models of disease progression after biological attacks. The first model is the Incubation-Prodromal-Fulminant (IPF) model, a variation of the Susceptible-Infected-Recovered (SIR) epidemiological model, and the second is an agent-based model called BioWar. We run BioWar simulations to see whether the results will, at the population level, match the IPF results. We showed that BioWar can generate population level results that are close to IPF. In addition, BioWar outputs emergent properties that cannot be simulated in IPF. This study provides insights for modelers who are developing simulation tools for investigating bioterrorism attacks and for decision makers who use these tools.