138 citations · 226 across the 10 of their papers we have counts for
11 papers
Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
Xiahui Li, Dongni Zhang, Neha Bansal +12
Contact (or mixing, or more generally connectivity) matrices are a fundamental component of modelling and inference for infectious disease epidemiology. Their structure and paramet…
A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands
R. G. Seymour, T. Kypraios, P. D. O'Neill +1
Infectious diseases on farms pose both public and animal health risks, so understanding how they spread between farms is crucial for developing disease control strategies to preven…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
Bayes factors for partially observed stochastic epidemic models
Muteb Alharthi, Theodore Kypraios, Philip D. O'Neill
We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors.…
Bayesian nonparametrics for stochastic epidemic models
Theodore Kypraios, Philip D. O'Neill
The vast majority of models for the spread of communicable diseases are parametric in nature and involve underlying assumptions about how the disease spreads through a population.…
Modelling and Bayesian analysis of the Abakaliki Smallpox Data
Jessica E. Stockdale, Theodore Kypraios, Philip D. O'Neill
The celebrated Abakaliki smallpox data have appeared numerous times in the epidemic modelling literature, but in almost all cases only a specific subset of the data is considered.…