• DocumentCode
    2851568
  • Title

    An Improved SIRS Epidemic Model on Complex Network

  • Author

    Han, Hua ; Ma, Aina ; Huang, Zhangcan

  • Author_Institution
    Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on the SIRS model with the direct immunization on complex network, an improved SIRS epidemic model is proposed in this paper. The proposed model is built by considering the case that infective individuals enter into the removed or susceptible state when they are cured. By using the mean-field theory, an epidemic threshold of the model is obtained focusing on the improved model. The simulated results illustrate the valid of the theory analysis. Both the theoretical analytical and simulated results indicate that whether the disease becomes the endemic disease or not is influenced by the proportion from the infective state to the susceptible state.
  • Keywords
    combinatorial mathematics; complex networks; epidemics; SIRS epidemic model; complex network; direct immunization; epidemic threshold; mean-field theory; Analytical models; Complex networks; Diseases; Educational institutions; Immune system; State estimation; Viruses (medical);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365422
  • Filename
    5365422