Dynamics of a nonlocal SEIR model with free boundaries

This paper investigates the dynamics of a nonlocal SEIR epidemic model with free boundaries. We focus on a comprehensive analysis of disease dynamics governed by both nonlocal diffusion and expanding habitat. A spreading-vanishing criterion is established by comparing the basic reproduction number [Formula: see text] with unity, as well as some conclusions that determine whether the disease vanishes or spreads. Our analysis underscores the critical role of free boundaries: in addition to the basic reproduction number [Formula: see text], the initial values of the infected and exposed populations, and the spatial diffusivity of the disease in a new region also exert significant influence on disease transmission. These observations highlight one of the key distinctions between fixed boundary and free boundary problems. Furthermore, we carry out numerical simulations to validate our theoretical results.

Authors

Publication Details

Journal
International Journal of Biomathematics
Published
2026-10-28
DOI
https://doi.org/10.1142/s1793524526501287
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

Dynamics of a nonlocal SEIR model with free boundaries

Jia-Feng Cao, Meng-Xin Song
2 links
International Journal of Biomathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamics of a nonlocal SEIR model with free boundaries

Jia-Feng Cao, Meng-Xin Song
article en

Abstract

This paper investigates the dynamics of a nonlocal SEIR epidemic model with free boundaries. We focus on a comprehensive analysis of disease dynamics governed by both nonlocal diffusion and expanding habitat. A spreading-vanishing criterion is established by comparing the basic reproduction number [Formula: see text] with unity, as well as some conclusions that determine whether the disease vanishes or spreads. Our analysis underscores the critical role of free boundaries: in addition to the basic reproduction number [Formula: see text], the initial values of the infected and exposed populations, and the spatial diffusivity of the disease in a new region also exert significant influence on disease transmission. These observations highlight one of the key distinctions between fixed boundary and free boundary problems. Furthermore, we carry out numerical simulations to validate our theoretical results.

International Journal of Biomathematics
Openalex Percentile: Top 10%
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.

Laika access coming soon