Long‐Term Behavior and Extinction of a Stochastic Avian Influenza Model With Reaction–Diffusion

In this paper, the long‐term behavior and extinction of stochastic avian influenza model with reaction–diffusion are studied. For the model, on the one hand, considering the cross‐regional transmission between avian and humans, we introduce spatial diffusion. On the other hand, since the mortality rate is easily affected by external factors, we have introduced random noise on the basis of the mortality rate. Furthermore, the existence, uniqueness, positivity, and boundedness of the solution are given. Most of the previous studies have analyzed the dynamic behavior of diseases using by the basic reproduction number. In this paper, we provide the conditions for disease persistence and extinction from another perspective. Through numerical simulations, we verify the long‐term behavior and extinction of the model, which can be observed when , the infected avian population will become extinct. Therefore, when a disease outbreak occurs, we can control the development of the disease by adjusting the relevant parameters.

Authors

Institutions

Publication Details

Journal
Journal of Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1155/jom/9978127
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long‐Term Behavior and Extinction of a Stochastic Avian Influenza Model With Reaction–Diffusion

Kangkang Chang, Guizhen Liang, Fuyu Wei
Journal of Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Long‐Term Behavior and Extinction of a Stochastic Avian Influenza Model With Reaction–Diffusion

Kangkang Chang, Guizhen Liang, Fuyu Wei
article en

Abstract

In this paper, the long‐term behavior and extinction of stochastic avian influenza model with reaction–diffusion are studied. For the model, on the one hand, considering the cross‐regional transmission between avian and humans, we introduce spatial diffusion. On the other hand, since the mortality rate is easily affected by external factors, we have introduced random noise on the basis of the mortality rate. Furthermore, the existence, uniqueness, positivity, and boundedness of the solution are given. Most of the previous studies have analyzed the dynamic behavior of diseases using by the basic reproduction number. In this paper, we provide the conditions for disease persistence and extinction from another perspective. Through numerical simulations, we verify the long‐term behavior and extinction of the model, which can be observed when , the infected avian population will become extinct. Therefore, when a disease outbreak occurs, we can control the development of the disease by adjusting the relevant parameters.

Journal of MathematicsVol. 2025(1)
Henan Institute of Technology (CN), Henan Institute of Science and Technology (CN), Xinxiang University (CN)
Openalex Percentile: Top 65%
Mathematical and Theoretical Epidemiology and Ecology Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Long‐Term Behavior and Extinction of a Stochastic Avian Influenza Model With Reaction–Diffusion — Kangkang Chang, Guizhen Liang, et al. · Journal of Mathematics (2025) | TGRS Research Map | TGRS