Copyright © 2004 Elsevier B.V. All rights reserved.
Model alignment of anthrax attack simulations
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
- 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







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