DocumentCode :
3774100
Title :
Partial Differential Equation Optimation for Infectious Disease Model
Author :
Lifeng Zhang;Peng Lian;Jianing Zou;Huakai Deng
Author_Institution :
Sch. of Sci., Dalian Ocean Univ., Dalian, China
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
630
Lastpage :
633
Abstract :
The most basic infectious disease model, SIR model is widely used and upgraded to evaluate the affect of viruses now, because of the outbreak of Ebola. In this paper, we give a brief introduction to SIRS model, and adopt the SEIRS (Suspectable-Exposed-Infective-Recovered Suspectable), which apply partial differential equations to optimize the SIRS. By solving four Partial Differential Equations, we set a description of the relationship between the four kinds of people, time and space. The advantage of this method is that we consider the incubation period of viruses. Meanwhile, we show the numerical solution through diffusion figure of Ebola by using mat lab.
Keywords :
"Mathematical model","Viruses (medical)","Oceans","Partial differential equations"
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
Type :
conf
DOI :
10.1109/ICICTA.2015.160
Filename :
7473376
Link To Document :
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