3 citations · 3 across the 5 of their papers we have counts for
5 papers
Real-time growth rate for general stochastic SIR epidemics on unclustered networks
Lorenzo Pellis, Simon E. F. Spencer, Thomas House
Networks have become an important tool for infectious disease epidemiology. Most previous theoretical studies of transmission network models have either considered simple Markovian…
Algebraic moment closure for population dynamics on discrete structures
Thomas House
Moment closure on general discrete structures often requires one of the following: (i) an absence of short closed loops (zero clustering); (ii) existence of a spatial scale; (iii)…
For principled model fitting in mathematical biology
Thomas House
The mathematical models used to capture features of complex, biological systems are typically non-linear, meaning that there are no generally valid simple relationships between the…
Non-Markovian stochastic epidemics in extremely heterogeneous populations
Thomas House
A feature often observed in epidemiological networks is significant heterogeneity in degree. A popular modelling approach to this has been to consider large populations with highly…
Generalised network clustering and its dynamical implications
Thomas House
A parameterisation of generalised network clustering, in the form of four-motif prevalences, is presented. This involves three real parameters that are conditional on one- two- and…