A Stochastic Hepatitis C Epidemic Model in Cellular Level With a Lévy Noise

ABSTRACT In this paper, we deal with a Lévy noise‐driven epidemic model reflecting the dynamics of hepatitis C virus infection subject to the effect of the immune cells. A stochastic model for hepatitis C at the cellular level is developed, considering random fluctuations and the influence of immune cells. After formulating the model, the system's feasibility was examined using the fundamental principles of existence and uniqueness theory. Additionally, the behavior of the solutions near the disease‐free and endemic equilibrium points was analyzed. To evaluate the persistence or elimination of the infection, the threshold parameter a reproduction number ( and ) was computed, revealing that the disease dies out whenever and . Numerical simulations are performed to illustrate the analysis results. Finally, we establish the stochastic stability of the disease‐free equilibrium point. We examine stochastic disease extinction. Furthermore, we have demonstrated that the disease persists with or without immunity under appropriate conditions. Numerical simulations have been performed to confirm the theoretical results and demonstrate the stochastic dynamics of infection.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-12-26
DOI
https://doi.org/10.1002/mma.70436
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
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article
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article

A Stochastic Hepatitis C Epidemic Model in Cellular Level With a Lévy Noise

Noorma Yulia Megawati, Nanang Susyanto, Karam Allali, Dwi Lestari et al.
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
article

A Stochastic Hepatitis C Epidemic Model in Cellular Level With a Lévy Noise

Noorma Yulia Megawati, Nanang Susyanto, Karam Allali, Dwi Lestari, Fajar Adi‐Kusumo
article en

Abstract

ABSTRACT In this paper, we deal with a Lévy noise‐driven epidemic model reflecting the dynamics of hepatitis C virus infection subject to the effect of the immune cells. A stochastic model for hepatitis C at the cellular level is developed, considering random fluctuations and the influence of immune cells. After formulating the model, the system's feasibility was examined using the fundamental principles of existence and uniqueness theory. Additionally, the behavior of the solutions near the disease‐free and endemic equilibrium points was analyzed. To evaluate the persistence or elimination of the infection, the threshold parameter a reproduction number ( and ) was computed, revealing that the disease dies out whenever and . Numerical simulations are performed to illustrate the analysis results. Finally, we establish the stochastic stability of the disease‐free equilibrium point. We examine stochastic disease extinction. Furthermore, we have demonstrated that the disease persists with or without immunity under appropriate conditions. Numerical simulations have been performed to confirm the theoretical results and demonstrate the stochastic dynamics of infection.

Mathematical Methods in the Applied Sciences
Yogyakarta State University (ID), Universitas Gadjah Mada (ID), Université Hassan II Mohammedia (MA), University of Hassan II Casablanca (MA)
Good health and well-being
Openalex Percentile: Top 26%
Mathematical and Theoretical Epidemiology and Ecology Models
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