A Markovian switching diffusion for an Sirs epidemic model on complex network

The purpose of this research is to deepen our comprehension of a scale-free network stochastic SIRS epidemic model. Our investigation centers on the global dynamics of a scale-free network that undergoes regime switching. We begin by demonstrating that, for every positive starting value, the system has a unique global positive solution. Then, under the right circumstances, we show that the model has some interesting asymptotic properties. These properties include the extinction of the disease and its persistence in the mean. Through rigorous analysis, we explore the circumstances under which these outcomes occur and provide scientific evidence to support our findings.

Authors

Institutions

Publication Details

Journal
Gulf Journal of Mathematics
Published
2025-08-18
DOI
https://doi.org/10.56947/gjom.v20i2.3079
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Markovian switching diffusion for an Sirs epidemic model on complex network

Adil El Haitami
Gulf Journal of Mathematics
Complex Network Analysis Techniques
article

A Markovian switching diffusion for an Sirs epidemic model on complex network

Adil El Haitami
article en

Abstract

The purpose of this research is to deepen our comprehension of a scale-free network stochastic SIRS epidemic model. Our investigation centers on the global dynamics of a scale-free network that undergoes regime switching. We begin by demonstrating that, for every positive starting value, the system has a unique global positive solution. Then, under the right circumstances, we show that the model has some interesting asymptotic properties. These properties include the extinction of the disease and its persistence in the mean. Through rigorous analysis, we explore the circumstances under which these outcomes occur and provide scientific evidence to support our findings.

Gulf Journal of MathematicsVol. 20(2)
Abdelmalek Essaâdi University (MA)
Openalex Percentile: Top 83%
Complex Network Analysis Techniques
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.