Establishing how many people have been infected by SARS-CoV-2 remains an urgent
priority for controlling the COVID-19 pandemic. Serological tests that identify past infection …

Contagion phenomena are often the results of multibody interactions—such as
superspreading events or social reinforcement—describable as hypergraphs. We develop …

Social media embeddedness relationships consist of online social networks formed by self-
organized individual actors and significantly affect many aspects of our lives. Since the high …

Recommendations around epidemics tend to focus on individual behaviors, with much less
efforts attempting to guide event cancellations and other collective behaviors since most …

Simple models of infectious diseases tend to assume random mixing of individuals, but real
interactions are not random pairwise encounters: they occur within various types of …

Digital contact tracing (DCT) applications have been introduced in many countries to aid the
containment of COVID-19 outbreaks. Initially, enthusiasm was high regarding their …

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 …

Network-based intervention strategies can be effective and cost-efficient approaches to
curtailing harmful contagions in myriad settings. As studied, these strategies are often …

Many multiagent dynamics can be modeled as a stochastic process in which the agents in
the system change their state over time in interaction with each other. The Gillespie …

Network science has increasingly become central to the field of epidemiology and our ability
to respond to infectious disease threats. However, many networks derived from modern …