A Valid Transport Related SVEIHR Stochastic Epidemic Model with Coverage and Time Delays

The ability of people to move freely between cities is thought to be a major factor in accelerating the spread of infectious diseases. To investigate this issue, we propose a SEVIHR stochastic epidemic model, which emphasizes the effects of transport related infections and media coverage. At the same time, the time delay caused by the information time difference is considered. Firstly, we study the existence and uniqueness of the global positive solution of the model by means of Lyapunov function and stopping time, and obtain sufficient conditions for the extinction and persistence of the disease. Secondly, in order to control the spread of the disease in time and effectively, appropriate control strategies are formulated according to the stochastic optimal theory. Finally, the extinction and persistence of the disease were simulated by MATLAB.

Authors

Institutions

Publication Details

Journal
WSEAS TRANSACTIONS ON MATHEMATICS
Published
2024-12-03
DOI
https://doi.org/10.37394/23206.2024.23.84
Citations
3
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Valid Transport Related SVEIHR Stochastic Epidemic Model with Coverage and Time Delays

Rong Yang, Hong Qiu
3 citations
WSEAS TRANSACTIONS ON MATHEMATICS
COVID-19 epidemiological studies
1.19
article

A Valid Transport Related SVEIHR Stochastic Epidemic Model with Coverage and Time Delays

Rong Yang, Hong Qiu
article en
3 citations

Abstract

The ability of people to move freely between cities is thought to be a major factor in accelerating the spread of infectious diseases. To investigate this issue, we propose a SEVIHR stochastic epidemic model, which emphasizes the effects of transport related infections and media coverage. At the same time, the time delay caused by the information time difference is considered. Firstly, we study the existence and uniqueness of the global positive solution of the model by means of Lyapunov function and stopping time, and obtain sufficient conditions for the extinction and persistence of the disease. Secondly, in order to control the spread of the disease in time and effectively, appropriate control strategies are formulated according to the stochastic optimal theory. Finally, the extinction and persistence of the disease were simulated by MATLAB.

WSEAS TRANSACTIONS ON MATHEMATICSVol. 23
Civil Aviation University of China (CN)
Openalex Percentile: Top 22%
COVID-19 epidemiological studies
1.19
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.