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Decision Support Systems
Volume 41, Issue 3, March 2006, Pages 654-668
Intelligence and security informatics
 
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doi:10.1016/j.dss.2004.06.012    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Elsevier B.V. All rights reserved.

Model alignment of anthrax attack simulations

Li-Chiou Chena, Corresponding Author Contact Information, E-mail The Corresponding Author, Kathleen M. Carleya, Douglas Fridsmab, Boris Kaminskya and Alex Yahjaa

aInstitute for Software Research, International School of Computer Science, Carnegie Mellon University, 231 Smith Hall, Pittsburgh, PA 15213, United States bCenter for Biomedical Informatics, School of Medicine, University of Pittsburgh, United States

Available online 12 August 2004.

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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.

Keywords: Model alignment; Anthrax; Bioinformatics; Agent-based model; Biosurveillance; Simulations

Article Outline

1. Introduction
2. The two models
3. The process of model alignment
3.1. Alignment of model components
3.2. BioWar scenario
4. Results and discussion
4.1. First-order analysis—death rate, infection rate, and stabilization time
4.2. Second-order analysis—dynamics of populations over time
4.3. Lessons learned from validating BioWar
4.4. Comparisons between BioWar and IPF Models
5. Conclusions
Acknowledgements
Appendix A. The IPF model
Appendix B. Construction of the empirical data sets
References
Vitae










Decision Support Systems
Volume 41, Issue 3, March 2006, Pages 654-668
Intelligence and security informatics
 
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