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Parallel Simulation Decision-Making Method for a Response to Unconventional Public Health Emergencies Based on the Scenario–Response Paradigm and Discrete Event System Theory

Published online by Cambridge University Press:  18 July 2019

Tian Xie Open the ORCID record for Tian Xie [Opens in a new window] ,
Mengna Ni ,
Zhaoyun Zhang  and
Yaoyao Wei
Tian Xie
Affiliation:
Department of Management Science and Engineering, School of Economics, Management and Law, University of South China, Hengyang, China
Mengna Ni
Affiliation:
Department of Management Science and Engineering, School of Economics, Management and Law, University of South China, Hengyang, China
Zhaoyun Zhang
Affiliation:
Department of Management Science and Engineering, School of Economics, Management and Law, University of South China, Hengyang, China
Yaoyao Wei*
Affiliation:
Department of Management Science and Engineering, School of Economics, Management and Law, University of South China, Hengyang, China School of Marxism, University of South China, Hengyang, China
*
Correspondence and reprint requests to Yaoyao Wei, No. 28, West Changsheng Road, Hengyang City, Hunan Province, PR China 421001 (e-mail: [email protected]).
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Abstract

Given the non-repeatability, complexity, and unpredictability of unconventional public health emergencies, building accurate models and making effective response decisions based only on traditional prediction–response decision-making methods are difficult. To solve this problem, under the scenario–response paradigm and theories on parallel emergency management and discrete event system (DES), the parallel simulation decision-making framework (PSDF), which includes the methods of abstract modeling, simulation operation, decision-making optimization, and parallel control, is proposed for unconventional public health emergency response processes. Furthermore, with the example of the severe acute respiratory syndrome (SARS) response process, the evolutionary scenarios that include infected patients and diagnostic processes are transformed into simulation processes. Then, the validity and operability of the DES–PSDF method proposed in this paper are verified by the results of a simulation experiment. The results demonstrated that, in the case of insufficient prior knowledge, effective parallel simulation models can be constructed and improved dynamically by multi-stage parallel controlling. Public health system bottlenecks and relevant effective response solutions can also be obtained by iterative simulation and optimizing decisions. To meet the urgent requirements of emergency response, the DES–PSDF method introduces a new response decision-making concept for unconventional public health emergencies.

Keywords

discrete event systemparallel emergency managementsimulation decisionunconventional public health emergency
Type
Concepts in Disaster Medicine
Information
Disaster Medicine and Public Health Preparedness , Volume 13 , Issue 5-6 , December 2019 , pp. 1017 - 1027
Copyright
Copyright © 2019 Society for Disaster Medicine and Public Health, Inc. 

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