62 citations · 177 across the 23 of their papers we have counts for
5 papers · 1 filter
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…
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.…
Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: application to Vancomycin-Resistant Enterococci in intensive care units
Yinghui Wei, Theodore Kypraios, Philip D. O'Neill +3
Nosocomial pathogens such as Methicillin-Resistant {\em Staphylococcus aureus} (MRSA) and Vancomycin-resistant {\em Enterococci} (VRE) are the cause of significant morbidity and mo…
Reconstructing transmission trees for communicable diseases using densely sampled genetic data
Colin J. Worby, Philip D. O'Neill, Theodore Kypraios +5
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to investigate who infected whom with unparalleled resolution, potentially yielding imp…
Statistical inference for stochastic epidemic models with three levels of mixing
Tom Britton, Theodore Kypraios, Philip O'Neill
A stochastic epidemic model is defined in which each individual belongs to a household, a secondary grouping (typically school or workplace) and also the community as a whole. More…