Dynamics of pairwise-based SIS epidemic models on clustered networks with higher-order interactions

Traffic-driven sequential spread of two interacting epidemics on complex networks.

While the coupling between traffic dynamics and epidemic spreading on complex networks has been widely studied, existing research has predominantly focused on single-pathogen transmission. In this paper, we investigate the sequential spreading dynamics of two interacting epidemics driven by traffic flow. The model inco...

A Networked SIS Epidemic--Opinion Model with Higher-Order Interactions

This paper studies a susceptible--infected--susceptible (SIS) epidemic model coupled with opinion dynamics over a network of communities with higher-order interactions. Unlike standard networked SIS models, which account only for pairwise transmission, the proposed model incorporates group-level infection mechanisms an...

Fear-driven higher-order epidemic dynamics on heterogeneous hypergraphs

This paper investigates a higher-order Susceptible-Infectious-Susceptible (SIS) epidemic model incorporating disease-fear and vaccine-fear behavioral states on heterogeneous hypergraphs, revealing that fear-related behavioral responses can substantially affect epidemic outbreaks.

Applied Mathematical Modelling

Multi-scale local network structure critically impacts epidemic spread and interventions

Network epidemic simulation enables fine-grained understanding of epidemic behavior. However, empirical samples of interaction networks display properties that are challenging to capture with popular synthetic models of networks. Our empirical results show that epidemic spread behavior is sensitive to a form of multi-s...

A principled closure framework for higher-order SIS epidemic models on networks

A bottom-up derivation of higher-order SIS dynamics, building systematically from node-level equations to pairs, triplets, and three-body interactions and provides a principled method of generating new models.