LONG-TIME BEHAVIOR OF AVIAN INFLUENZA MODEL WITH NONLOCAL DIFFUSION

The aim of this study is to investigate the long-time behavior of a model of avian influenza incorporating nonlocal diffusion. We establish the existence, uniqueness, positivity and boundedness of the solution by constructing a Lyapunov function and utilizing the eigenvalue problem of the nonlocal diffusion term. The basic reproduction number is determined through the generation matrix method. By constructing Lyapunov function and using the comparison principle, we demonstrate the global stability and uniform persistence of the system. Numerical simulations are performed to validate our theoretical findings, indicating that diffusion has a pronounced impact on the disease. Our findings reveal that slight changes in the diffusion coefficient lead to significant changes in both susceptible and infected groups. Therefore, to control the development and spread of the disease, it is essential to cull avian populations and limit human movement during outbreaks.

Authors

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-07-21
DOI
https://doi.org/10.11948/20240061
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-TIME BEHAVIOR OF AVIAN INFLUENZA MODEL WITH NONLOCAL DIFFUSION

Kangkang Chang, Guizhen Liang, Zhenyu Zhang, Fuyu Wei
Journal of Applied Analysis & Computation
Mathematical and Theoretical Epidemiology and Ecology Models
article

LONG-TIME BEHAVIOR OF AVIAN INFLUENZA MODEL WITH NONLOCAL DIFFUSION

Kangkang Chang, Guizhen Liang, Zhenyu Zhang, Fuyu Wei
article en

Abstract

The aim of this study is to investigate the long-time behavior of a model of avian influenza incorporating nonlocal diffusion. We establish the existence, uniqueness, positivity and boundedness of the solution by constructing a Lyapunov function and utilizing the eigenvalue problem of the nonlocal diffusion term. The basic reproduction number is determined through the generation matrix method. By constructing Lyapunov function and using the comparison principle, we demonstrate the global stability and uniform persistence of the system. Numerical simulations are performed to validate our theoretical findings, indicating that diffusion has a pronounced impact on the disease. Our findings reveal that slight changes in the diffusion coefficient lead to significant changes in both susceptible and infected groups. Therefore, to control the development and spread of the disease, it is essential to cull avian populations and limit human movement during outbreaks.

Journal of Applied Analysis & ComputationVol. 16(1)
Openalex Percentile: Top 75%
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.