Operational analysis framework for emergency operations center preparedness training
WSC '04 Proceedings of the 36th conference on Winter simulation
An application of agent-based simulation to knowledge sharing
Decision Support Systems
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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 Bio War simulations to see whether the results will, at the population level, match the IPF results. We showed that Bio War 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.