Mathematical Analysis of the Stochastic Delayed Epidemic Models with Reinfection

• Ishikawa Masaaki

  Graduate School of Sciences and Technology for Innovation, Yamaguchi University

Abstract

At present, the unprecedented cholera outbreak occurs in Yemen and the strategization to control cholera transmission becomes imperative. Hence, infection prevention and control of epidemic are cited as one of the important social problems. In the vector-borne diseases such as malaria and dengue fever, there exists time delay caused by an incubation period in the virus development in the vectors on the transmission of disease. It should be noted that there is possibility of getting reinfected in the infectious disease such as malaria. Moreover, in the realistic spread of the infectious disease, environmental change and individual difference cause some kinds of random fluctuations in the infection, the recovery rates and the vaccination effect. Taking these facts into consideration, we propose two types of the stochastic delayed infectious models with reinfection. Since the spread of infection has reference to the stability of the disease-free steady state (DFS) of the stochastic infectious models, we analyze the stability of the DFS by using the stochastic Lyapunov theorem.

Journal

• Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

  Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2018 (0), 147-152, 2018-06-15

  The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Keywords

• Materials Science (miscellaneous)

Details

• CRID: 1390001288108579328
• NII Article ID: 130007580071
• DOI: 10.5687/sss.2018.147
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2018/0/2018_147/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed