数学物理学报(英文版) ›› 2022, Vol. 42 ›› Issue (5): 2087-2112.doi: 10.1007/s10473-022-0521-1

• 论文 • 上一篇    

PROBING A STOCHASTIC EPIDEMIC HEPATITIS C VIRUS MODEL WITH A CHRONICALLY INFECTED TREATED POPULATION

S. P. RAJASEKAR1,2, M. PITCHAIMANI1, Quanxin ZHU3   

  1. 1. Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, Tamil Nadu, 600 005, India;
    2. Department of Mathematics, Government Arts College for Women, Nilakottai, Tamil Nadu, 624 202, India;
    3. CHP-LCOCS, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China
  • 收稿日期:2020-06-28 修回日期:2022-05-25 发布日期:2022-11-02
  • 通讯作者: Quanxin Zhu,E-mail:zqx22@126.com E-mail:zqx22@126.com
  • 基金资助:
    This work was jointly supported by National Natural Science Foundation of China (62173139), the Science and Technology Innovation Program of Hunan Province (2021RC4030), Hunan Provincial Science and Technology Project Foundation (2019RS1033), the Science and Engineering Research Board (SERB) of India (EEQ/2021/001003).

PROBING A STOCHASTIC EPIDEMIC HEPATITIS C VIRUS MODEL WITH A CHRONICALLY INFECTED TREATED POPULATION

S. P. RAJASEKAR1,2, M. PITCHAIMANI1, Quanxin ZHU3   

  1. 1. Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, Tamil Nadu, 600 005, India;
    2. Department of Mathematics, Government Arts College for Women, Nilakottai, Tamil Nadu, 624 202, India;
    3. CHP-LCOCS, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, China
  • Received:2020-06-28 Revised:2022-05-25 Published:2022-11-02
  • Contact: Quanxin Zhu,E-mail:zqx22@126.com E-mail:zqx22@126.com
  • Supported by:
    This work was jointly supported by National Natural Science Foundation of China (62173139), the Science and Technology Innovation Program of Hunan Province (2021RC4030), Hunan Provincial Science and Technology Project Foundation (2019RS1033), the Science and Engineering Research Board (SERB) of India (EEQ/2021/001003).

摘要: The hepatitis C virus is hitherto a tremendous threat to human beings, but many researchers have analyzed mathematical models for hepatitis C virus transmission dynamics only in the deterministic case. Stochasticity plays an immense role in pathology and epidemiology. Hence, the main theme of this article is to investigate a stochastic epidemic hepatitis C virus model with five states of epidemiological classification: susceptible, acutely infected, chronically infected, recovered or removed and chronically infected, and treated. The stochastic hepatitis C virus model in epidemiology is established based on the environmental influence on individuals, is manifested by stochastic perturbations, and is proportional to each state. We assert that the stochastic HCV model has a unique global positive solution and attains sufficient conditions for the extinction of the hepatotropic RNA virus. Furthermore, by constructing a suitable Lyapunov function, we obtain sufficient conditions for the existence of an ergodic stationary distribution of the solutions to the stochastic HCV model. Moreover, this article confirms that using numerical simulations, the six parameters of the stochastic HCV model can have a high impact over the disease transmission dynamics, specifically the disease transmission rate, the rate of chronically infected population, the rate of progression to chronic infection, the treatment failure rate of chronically infected population, the recovery rate from chronic infection and the treatment rate of the chronically infected population. Eventually, numerical simulations validate the effectiveness of our theoretical conclusions.

关键词: hepatitis C virus, acute and chronically infected, chronically infected treated, extinction, stationary distribution

Abstract: The hepatitis C virus is hitherto a tremendous threat to human beings, but many researchers have analyzed mathematical models for hepatitis C virus transmission dynamics only in the deterministic case. Stochasticity plays an immense role in pathology and epidemiology. Hence, the main theme of this article is to investigate a stochastic epidemic hepatitis C virus model with five states of epidemiological classification: susceptible, acutely infected, chronically infected, recovered or removed and chronically infected, and treated. The stochastic hepatitis C virus model in epidemiology is established based on the environmental influence on individuals, is manifested by stochastic perturbations, and is proportional to each state. We assert that the stochastic HCV model has a unique global positive solution and attains sufficient conditions for the extinction of the hepatotropic RNA virus. Furthermore, by constructing a suitable Lyapunov function, we obtain sufficient conditions for the existence of an ergodic stationary distribution of the solutions to the stochastic HCV model. Moreover, this article confirms that using numerical simulations, the six parameters of the stochastic HCV model can have a high impact over the disease transmission dynamics, specifically the disease transmission rate, the rate of chronically infected population, the rate of progression to chronic infection, the treatment failure rate of chronically infected population, the recovery rate from chronic infection and the treatment rate of the chronically infected population. Eventually, numerical simulations validate the effectiveness of our theoretical conclusions.

Key words: hepatitis C virus, acute and chronically infected, chronically infected treated, extinction, stationary distribution

中图分类号: 

  • 34E10