The science of networks has revolutionised research into the dynamics of interacting
elements. It could be argued that epidemiology in particular has embraced the potential of …

The increasing use of computer simulation by theoretical ecologists started a move away
from models formulated at the population level towards individual-based models. However …

The basic reproduction number is one of the conceptual cornerstones of mathematical
epidemiology. Its classical definition as the number of secondary cases generated by a …

During an infectious disease outbreak, biases in the data and complexities of the underlying
dynamics pose significant challenges in mathematically modelling the outbreak and …

Modern infectious disease epidemiology has a strong history of using mathematics both for
prediction and to gain a deeper understanding. However the study of infectious diseases is …

This paper considers metapopulation models in the general sense, ie where the population
is partitioned into sub-populations (groups, patches,...), irrespective of the biological …

The basic reproduction number R0 is one of the most important quantities in epidemiology.
However, for epidemic models with explicit social structure involving small mixing units such …

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 …

The spread of infectious diseases is intimately linked with the strength and type of contact
between individuals. Multiple observational and modelling studies have highlighted the …

The relationship between system-level and subsystem-level master equations is
investigated and then utilised for a systematic and potentially automated derivation of the …