IJIMT 2015 Vol.6(4): 278-284 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2015.V6.615

A Multi-stage Manufacturing and Delivering Medical Model with Dynamic Decision-Making System Based on SIQR Model

Yihui Chen, Donglin Wang, Can Pu, and Wenxiao Mou
Abstract— Outbreak of Ebola has urged local government and medical institution to control the epidemic with low cost. We propose a multi-stage manufacturing and delivering medical model with dynamic decision-making system based on SIQR model, and then Linear Programming is employed to obtain the optimal distribution plan. In the model, the use of vaccine can quickly immunize people, while the treatment of drugs will last for a period of time. On the basis of the different mechanisms of vaccine and drugs, we improve the traditional SIQR model. The use of drugs and vaccine in each time period will have influence on the epidemic in the next time period, which will in turn influence production and delivery of drugs and vaccine. Considering the features of Ebola, we set up simulated data by experience. It turns out that the model can effectively simulate the spread and control of an epidemic. Therefore, the model in this paper is reasonable and is worthy of generalization and application.

Index Terms— Epidemic control, dynamic decision-making, multi-stage, SIQR model.

Yihui Chen is with the Department of Mathematics, School of Science, Tianjin University, Tianjin, China (e-mail: chenyihui@tju.edu.cn).
Donglin Wang is with the Department of Computer Science and Technology, Tianjin University, Tianjin, China (e-mail: alien@tju.edu.cn).
Can Pu is with the Department of Electronics Science and Technology (Optoelectronic Technology), Tianjin University, Tianjin, China (corresponding author; e-mail: canpu999@163.com; Tel.: 86-18680748866).
Wenxiao Mou is with Wistron Chongqing Branch, Chongqing, China (e-mail: 2522623666@qq.com).

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Cite: Yihui Chen, Donglin Wang, Can Pu, and Wenxiao Mou, " A Multi-stage Manufacturing and Delivering Medical Model with Dynamic Decision-Making System Based on SIQR Model," International Journal of Innovation, Management and Technology vol. 6, no. 4, pp. 278-284, 2015.

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