• 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