Stationary distribution and extinction of an HCV transmission model with protection awareness and environmental fluctuations

We propose a stochastic HCV model with protection awareness and exposed-acute-chronic phases in this study. First of all, we show that the stochastic HCV model admits a unique global positive solution for any given positive initial values. Then, we verify that HCV model has a unique stationary distribution under the sufficient criterion R0s>1, which indicates that HCV transmission undergoes the persistence in the long term. Furthermore, we derive the sufficient conditions for HCV extinction under the condition R0e<1. As a consequence, we derive the relationships among the stochastic persistence index R0s, the stochastic extinction index R0e and the threshold (the basic reproduction number R0) of the model without fluctuations. The condition R0>R0s>1 reveals that the existence of the white noises triggers the less stochastic persistence index. While, the condition R0

Publication Details

Journal
Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
Published
2025-01-01
DOI
https://doi.org/10.17868/strath.00091198
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Stationary distribution and extinction of an HCV transmission model with protection awareness and environmental fluctuations

Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stationary distribution and extinction of an HCV transmission model with protection awareness and environmental fluctuations

article en

Abstract

We propose a stochastic HCV model with protection awareness and exposed-acute-chronic phases in this study. First of all, we show that the stochastic HCV model admits a unique global positive solution for any given positive initial values. Then, we verify that HCV model has a unique stationary distribution under the sufficient criterion R0s>1, which indicates that HCV transmission undergoes the persistence in the long term. Furthermore, we derive the sufficient conditions for HCV extinction under the condition R0e<1. As a consequence, we derive the relationships among the stochastic persistence index R0s, the stochastic extinction index R0e and the threshold (the basic reproduction number R0) of the model without fluctuations. The condition R0>R0s>1 reveals that the existence of the white noises triggers the less stochastic persistence index. While, the condition R0

Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
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Mathematical and Theoretical Epidemiology and Ecology Models
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