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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 897532, 18 pages
Review Article

A Modeling and Experiment Framework for the Emergency Management in AHC Transmission

College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received 2 May 2013; Revised 21 October 2013; Accepted 25 November 2013; Published 16 February 2014

Academic Editor: Gabriel Turinici

Copyright © 2014 Bin Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Emergency management is crucial to finding effective ways to minimize or even eliminate the damage of emergent events, but there still exists no quantified method to study the events by computation. Statistical algorithms, such as susceptible-infected-recovered (SIR) models on epidemic transmission, ignore many details, thus always influencing the spread of emergent events. In this paper, we first propose an agent-based modeling and experiment framework to model the real world with the emergent events. The model of the real world is called artificial society, which is composed of agent model, agent activity model, and environment model, and it employs finite state automata (FSA) as its modeling paradigm. An artificial campus, on which a series of experiments are done to analyze the key factors of the acute hemorrhagic conjunctivitis (AHC) transmission, is then constructed to illustrate how our method works on the emergency management. Intervention measures and optional configurations (such as the isolation period) of them for the emergency management are also given through the evaluations in these experiments.