Extinction and stationary distribution of stochastic hepatitis B virus model

In this article, we develop a Hepatitis B virus model with six compartments affected by environmental fluctuations since the Hepatitis B virus produces serious liver infections in the human body, putting many people at high risk. The existence of a global positive solution is shown to prove the positivity of solutions. We demonstrate that the system experiences the extinction property for a specific parametric restriction. Besides that, we obtain the stochastic stability region for the proposed model through the stationary distribution. To determine the appearance and disappearance of infection in the population, we find and analyze the reproduction ratio . In addition, we have verified the condition of the reproduction ratio through the graphical simulations.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-09-05
DOI
https://doi.org/10.1002/mma.10467
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.09
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article

Extinction and stationary distribution of stochastic hepatitis B virus model

M. Sambath, C. Gokila
2 citations
Mathematical Methods in the Applied Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
1.09
article

Extinction and stationary distribution of stochastic hepatitis B virus model

M. Sambath, C. Gokila
article en
2 citations

Abstract

In this article, we develop a Hepatitis B virus model with six compartments affected by environmental fluctuations since the Hepatitis B virus produces serious liver infections in the human body, putting many people at high risk. The existence of a global positive solution is shown to prove the positivity of solutions. We demonstrate that the system experiences the extinction property for a specific parametric restriction. Besides that, we obtain the stochastic stability region for the proposed model through the stationary distribution. To determine the appearance and disappearance of infection in the population, we find and analyze the reproduction ratio . In addition, we have verified the condition of the reproduction ratio through the graphical simulations.

Mathematical Methods in the Applied SciencesVol. 48(3)
Periyar University (IN), Sri Eshwar College of Engineering
Openalex Percentile: Top 21%
Mathematical and Theoretical Epidemiology and Ecology Models
1.09
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