Abstract

The deterministic stability of a model of Hepatitis C which includes a term defining the effect of immune system is studied on both local and global scales. Random effect is added to the model to investigate the random behavior of the model. The numerical characteristics such as the expectation, variance and confidence interval are calculated for random effects with two different distributions from the results of numerical simulations. In addition, the compliance of the random behavior of the model and the deterministic stability results is examined.

Highlights

  • Hepatitis C is an infectious liver disease

  • The results show that the disease-free equilibrium point of the model is locally asymptotically stable if R0 1 and unstable if R0 > 1

  • A Lyapunov function was constructed for the global stability analysis of the disease free equilibrium

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Summary

Introduction

Hepatitis C is an infectious liver disease. The virus which causes this disease was identified in 1989 but the worldwide presence of the virus shows that it has been active for a much longer period. It should be noted that the use of spatial effects may provide useful results for analyzing Hepatitis C transmission dynamics [13,14,15,16] These models use mathematical tools to guide and enhance studies in medicine, biology and etc. The components of the basic three-component model are uninfected hepatocytes, infected hepatocytes and the virus, which are denoted by T(t), I(t) and V(t), respectively. DV dt 1⁄4 ð1 À pÞpI À cV: The parameters of the model describe the rates of change in the uninfected hepatocytes, infected hepatocytes and virus during treatment. The treatment effects are included in the model with two parameters p and η, which describe the virion production blockage and new infection reduction respectively. If R0 > 1, there exists positive equilibria for the System (1) and one of these T1Ã 1⁄4

A B c2 equilibrium E1 pffiffiffiffiffiffiffiffiffi
À ð1 À ZÞbT1Ã
IðtÞ mðBÞds
Findings
Conclusion
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