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Preprint Jul 2026

Coevolution of epidemic dynamics and network topology driven by disease fatality and waning immunity

An agent-based model of a fatal infectious disease with an imperfect immunity on an initially scale-free network that evolves via demographic and epidemic-induced changes and undergoes an epidemic transition between a phase in which the disease eventually dies out and a phase in which it becomes endemic.

ThankGod I. S. Ikpe, Takayuki Hiraoka, N. Fujiwara · 0 citations
Aug 2026

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...

Xingli Jing, Mao-Bin Hu, Ming Tang et al. · 0 citations
Aug 2026

Dynamics of SIRS epidemic model in heterogeneous hypernetworks.

In this paper, the complex epidemic behavior of higher-order interactions is investigated by considering heterogeneous hypernetworks with collective contagion mechanisms, and a susceptible-infected-recovered-susceptible epidemic model is established in hypernetworks. First, we propose a mean-field model in heterogeneou...

Wen-Hui Wang, Juping Zhang, Zhen Jin · 0 citations
Jul 2026

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

This work investigates the susceptible-infected-susceptible epidemic model on clustered regular networks using the pair mean-field approach, where higher-order effects are explicitly considered in dynamic analysis and proves the effectiveness of the pair mean-field method for analyzing higher-order network dynamics.

Qing-Chu Wu, Zhao-Yan Wu · 0 citations
Open access Sep 2026

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...

Omar Eldaghar, M. Mahoney, D. Gleich · 0 citations
Preprint Jul 2026

Extreme outbreaks in non-Markovian epidemics on complex networks

Extreme epidemic risk is controlled by the right tail of the outbreak-size distribution, but this distribution is generally unknown for non-Markovian spreading on networks. Here we determine this distribution by mapping non-Markovian SIR dynamics to an effective Markovian description. We show that arbitrary infection a...

Ami Taitelbaum, Michael Assaf · 0 citations

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