Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …

The emergence and spread of infections can contribute to the decline and extinction of
populations, particularly in conjunction with anthropogenic environmental change. The …

Infections can change social behaviour in multiple ways, with profound impacts on pathogen
transmission. However, these impacts might depend on the type of behaviour, how sociality …

Social interactions are required for the direct transmission of infectious diseases.
Consequently, the social network structure of populations plays a key role in shaping …

The Susceptible–Infectious–Recovered (SIR) model is the canonical model of epidemics of
infections that make people immune upon recovery. Many of the open questions in …

Sociocentric network maps of entire populations, when combined with data on the nature of
constituent dyadic relationships, offer the dual promise of advancing understanding of the …

Assume one has the capability of determining whether a node in a network is infectious or
not by probing it. Then problem of optimizing sentinel surveillance in networks is to identify …

We investigate the impact of misinformation about the contact structure on the ability to
predict disease outbreaks. We base our study on 31 empirical temporal networks and tune …

COVID-19 highlighted modeling as a cornerstone of pandemic response. But it also
revealed that current models may not fully exploit the high-resolution data on disease …

Agent-based simulation models are excellent tools for addressing questions about the
spread of infectious diseases in human populations because realistic, complex behaviors as …