For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …

Epidemic models have become a routinely used tool to inform policy on infectious disease.
A particular interest at the moment is the use of computationally intensive inference to …

It has long been realised that the standard assumptions of mass-action mixing are a crude
approximation of the true mechanistic processes that govern the transmission of infection. In …

The study of epidemics on social networks has attracted considerable attention recently. In
this paper, we consider a stochastic SIR (susceptible→ infective→ removed) model for the …

We study the susceptible‐infective‐recovered (SIR) epidemic on a random graph chosen
uniformly subject to having given vertex degrees. In this model infective vertices infect each …

In this paper a branching process approximation for the spread of a Reed-Frost epidemic on
a network with tunable clustering is derived. The approximation gives rise to expressions for …

We study a simple model of epidemics where an infected node transmits the infection to its
neighbors independently with probability p. This is also known as the independent cascade …

Moment-closure techniques are commonly used to generate low-dimensional deterministic
models to approximate the average dynamics of stochastic systems on networks. The quality …

Social network analyses were used to investigate contact patterns in a free-living possum
Trichosurus vulpecula population and to estimate the influence of contact on R0 for bovine …

We consider the so-called Independent Cascade Model for rumor spreading or epidemic
processes popularized by Kempe et al.(2003). In this model, a node of a network is the …