344 citations · 394 across the 9 of their papers we have counts for
9 papers
Bayesian inference for high-dimensional discrete-time epidemic models: spatial dynamics of the UK COVID-19 outbreak
Chris P Jewell, Alison C Hale, Barry S Rowlingson +3
Stochastic epidemic models which incorporate interactions between space and human mobility are a key tool to inform prioritisation of outbreak control to appropriate locations. How…
Modelling the impact of social mixing and behaviour on infectious disease transmission: application to SARS-CoV-2
Alison C Hale, Jonathan M Read, Christopher P Jewell
In regard to infectious diseases socioeconomic determinants are strongly associated with differential exposure and susceptibility however they are seldom accounted for by standard…
An approach for benchmarking the numerical solutions of stochastic compartmental models
Alison C Hale, Christopher P Jewell
An approach is introduced for comparing the estimated states of stochastic compartmental models for an epidemic or biological process with analytically obtained solutions from the…
Approximating optimal SMC proposal distributions in individual-based epidemic models
Lorenzo Rimella, Christopher Jewell, Paul Fearnhead
Many epidemic models are naturally defined as individual-based models: where we track the state of each individual within a susceptible population. Inference for individual-based m…
EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage +9
The first year of the COVID-19 pandemic put considerable strain on the national healthcare system in England. In order to predict the effect of the local epidemic on hospital capac…
sourceR: Classification and Source Attribution of Infectious Agents among Heterogeneous Populations
Poppy Miller, Jonathan Marshall, Nigel French +1
Zoonotic diseases are a major cause of morbidity, and productivity losses in both humans and animal populations. Identifying the source of food-borne zoonoses (e.g. an animal reser…