Stochastic Formulation of Multiscale Model of Hepatitis B Viral Infections

The study investigates and analyzes certain qualitative properties of a stochastic dynamical multiscale model for hepatitis B viral infection. By formulating appropriate stochastic Lyapunov functions, the study derives sufficient conditions for the existence and uniqueness of an ergodic stationary distribution of the positive solutions of the multiscale model. Additionally, the study establishes conditions under which the virus can be eradicated from the population. The findings indicate that low-intensity white noise guarantees a unique ergodic stationary distribution, while higher noise levels can result in viral extinction.

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Publication Details

Journal
Mathematics
Published
2025-11-19
DOI
https://doi.org/10.3390/math13223706
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Stochastic Formulation of Multiscale Model of Hepatitis B Viral Infections

Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stochastic Formulation of Multiscale Model of Hepatitis B Viral Infections

article en

Abstract

The study investigates and analyzes certain qualitative properties of a stochastic dynamical multiscale model for hepatitis B viral infection. By formulating appropriate stochastic Lyapunov functions, the study derives sufficient conditions for the existence and uniqueness of an ergodic stationary distribution of the positive solutions of the multiscale model. Additionally, the study establishes conditions under which the virus can be eradicated from the population. The findings indicate that low-intensity white noise guarantees a unique ergodic stationary distribution, while higher noise levels can result in viral extinction.

MathematicsVol. 13(22)
Sol Plaatje University (ZA), University of Venda (ZA)
Good health and well-being
Openalex Percentile: Top 33%
Mathematical and Theoretical Epidemiology and Ecology Models
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