Analysis of SIS epidemic model in bi-uniform hypernetworks

Abstract To describe the dynamics of epidemic spread with multiple individuals interacting with each other, we develop a susceptible-infected-susceptible (SIS) spread model with collective and individual contagion in general hypernetworks with higher-order interactions. The constructed model is applied to a bi-uniform hypernetwork to obtain a mean-field model for the SIS model. The threshold value at which an epidemic can spread in the bi-uniform hypernetwork is obtained and analyzed dynamically. By analysis, the model leads to bistability, in which a disease-free equilibrium and an endemic equilibrium coexist. Finally, numerical simulations of the developed model are carried out to give the effect of the proportion of individual contagion hyperedges on the spread of an epidemic.

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Publication Details

Journal
Journal of Statistical Mechanics Theory and Experiment
Published
2024-08-22
DOI
https://doi.org/10.1088/1742-5468/ad6c30
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.28
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article

Analysis of SIS epidemic model in bi-uniform hypernetworks

Juping Zhang, Wenhui Wang, Zhen Jin, Maoxing Liu
1 citations
Journal of Statistical Mechanics Theory and Experiment
Complex Network Analysis Techniques
0.28
article

Analysis of SIS epidemic model in bi-uniform hypernetworks

Juping Zhang, Wenhui Wang, Zhen Jin, Maoxing Liu
article en
1 citations

Abstract

Abstract To describe the dynamics of epidemic spread with multiple individuals interacting with each other, we develop a susceptible-infected-susceptible (SIS) spread model with collective and individual contagion in general hypernetworks with higher-order interactions. The constructed model is applied to a bi-uniform hypernetwork to obtain a mean-field model for the SIS model. The threshold value at which an epidemic can spread in the bi-uniform hypernetwork is obtained and analyzed dynamically. By analysis, the model leads to bistability, in which a disease-free equilibrium and an endemic equilibrium coexist. Finally, numerical simulations of the developed model are carried out to give the effect of the proportion of individual contagion hyperedges on the spread of an epidemic.

Journal of Statistical Mechanics Theory and ExperimentVol. 2024(8)
Shanxi University (CN), Beijing University of Civil Engineering and Architecture (CN)
Good health and well-being
Openalex Percentile: Top 46%
Complex Network Analysis Techniques
0.28
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