Analysis of SEIR network epidemic model considering self-protection awareness

The susceptible population is categorized into two cohorts in proportion, and a network-based SEIR model is established to examine how self-protection awareness affects disease propagation. From the perspective of media reports and information dissemination among people, we carefully capture the enhancement of individuals’ awareness of self-protection amid the disease outbreak. The basic reproduction number [Formula: see text] is derived through the application of spectral analysis. We demonstrate the unique existence of the positive equilibrium, and then the stability of the two equilibria is determined by developing different Lyapunov functions. Sensitivity analysis determines the importance of parameters for [Formula: see text]. Our numerical simulations suggest that decreasing the proportion of unconscious susceptible people in the input population and strengthening self-protection awareness can effectively curb the expansion of infection.

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Publication Details

Journal
International Journal of Biomathematics
Published
2024-12-20
DOI
https://doi.org/10.1142/s1793524524501572
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
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article

Analysis of SEIR network epidemic model considering self-protection awareness

Jing Liang Qin, Shuping Li
International Journal of Biomathematics
Mental Health Research Topics
article

Analysis of SEIR network epidemic model considering self-protection awareness

Jing Liang Qin, Shuping Li
article en

Abstract

The susceptible population is categorized into two cohorts in proportion, and a network-based SEIR model is established to examine how self-protection awareness affects disease propagation. From the perspective of media reports and information dissemination among people, we carefully capture the enhancement of individuals’ awareness of self-protection amid the disease outbreak. The basic reproduction number [Formula: see text] is derived through the application of spectral analysis. We demonstrate the unique existence of the positive equilibrium, and then the stability of the two equilibria is determined by developing different Lyapunov functions. Sensitivity analysis determines the importance of parameters for [Formula: see text]. Our numerical simulations suggest that decreasing the proportion of unconscious susceptible people in the input population and strengthening self-protection awareness can effectively curb the expansion of infection.

International Journal of Biomathematics
North University of China (CN)
Openalex Percentile: Top 71%
Mental Health Research Topics
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