EXTINCTION AND STATIONARY DISTRIBUTION OF A HEROIN EPIDEMIC MODEL WITH LÉVY JUMPS AND MARKOV SWITCHING

This paper endeavors to construct and embark on a rigorous investigation of a heroin epidemic model, subject to influences from both Lévy jumps and regime-switching. The primary objective is to conduct an in-depth analysis of the dynamical behaviors of this complex system. Firstly, we establish sufficient conditions for both the persistence in the mean and the extinction of the heroin epidemic model. Subsequently, under some certain conditions, we demonstrate the existence of a unique stationary distribution for this system. Finally, some numerical examples and figures are presented to illustrate and validate the theoretical results in an intuitive manner.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-12-30
DOI
https://doi.org/10.11948/20250174
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

EXTINCTION AND STATIONARY DISTRIBUTION OF A HEROIN EPIDEMIC MODEL WITH LÉVY JUMPS AND MARKOV SWITCHING

Yongchang Wei, Jinhai Guo, Kouling Li
Journal of Applied Analysis & Computation
Mathematical and Theoretical Epidemiology and Ecology Models
article

EXTINCTION AND STATIONARY DISTRIBUTION OF A HEROIN EPIDEMIC MODEL WITH LÉVY JUMPS AND MARKOV SWITCHING

Yongchang Wei, Jinhai Guo, Kouling Li
article en

Abstract

This paper endeavors to construct and embark on a rigorous investigation of a heroin epidemic model, subject to influences from both Lévy jumps and regime-switching. The primary objective is to conduct an in-depth analysis of the dynamical behaviors of this complex system. Firstly, we establish sufficient conditions for both the persistence in the mean and the extinction of the heroin epidemic model. Subsequently, under some certain conditions, we demonstrate the existence of a unique stationary distribution for this system. Finally, some numerical examples and figures are presented to illustrate and validate the theoretical results in an intuitive manner.

Journal of Applied Analysis & ComputationVol. 16(3)
Good health and well-being
Openalex Percentile: Top 25%
Mathematical and Theoretical Epidemiology and Ecology Models
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