We aim to develop epidemiological models that describe and predict the evolution of
infectious diseases. To this end, we integrate mobility data, represented by networks with …

The dynamics of contact networks and epidemics of infectious diseases often occur on
comparable time scales. Ignoring one of these time scales may provide an incomplete …

Network theory has greatly contributed to an improved understanding of epidemic
processes, offering an empowering framework for the analysis of real-world data, prediction …

We consider the spread of infectious disease through contact networks of Configuration
Model type. We assume that the disease spreads through contacts and infected individuals …

The infectious period of a transmissible disease is a key factor for disease spread and
persistence. Epidemic models on networks typically assume an identical average infectious …

Epidemiological contact network models have emerged as an important tool in
understanding and predicting spread of infectious disease, due to their capacity to engage …

In this paper we present a new ODE based framework for modelling disease transmission
on dynamic contact networks. We adapt and extend the effective degree model for a static …

Mathematical models of infectious diseases, which are in principle analytically tractable, use
two general approaches. The first approach, generally known as compartmental modeling …

This thesis is concerned with modelling the spread of diseases amongst host populations
and the epidemics that result from this process. We are primarily interested in how networks …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …