39 citations · 39 across the 5 of their papers we have counts for
5 papers
Structure induced by a multiple membership transformation on the Conditional Autoregressive model
Marco Gramatica, Silvia Liverani, Peter Congdon
The objective of disease mapping is to model data aggregated at the areal level. In some contexts, however, (e.g. residential histories, general practitioner catchment areas) when…
A Link Mixture Model for Spatio-temporal Infection Data, with Applications to the COVID Epidemic
P. Congdon
Spatio-temporal models for infection counts generally follow themes of the broader disease mapping literature, but may need to address specific features of spatio-temporal infectio…
Mid-Epidemic Forecasts of COVID-19 Cases and Deaths: A Bivariate Model applied to the UK
Peter Congdon
The evolution of the COVID-19 epidemic has been accompanied by accumulating evidence on the underlying epidemiological parameters. Hence there is potential for models providing mid…
Bayesian modelling for spatially misaligned health areal data: a multiple membership approach
Marco Gramatica, Peter Congdon, Silvia Liverani
Diabetes prevalence is on the rise in the UK, and for public health strategy, estimation of relative disease risk and subsequent mapping is important. We consider an application to…
The insignificant evolution of the richness-mass relation of galaxy clusters
S. Andreon, P. Congdon
We analysed the richness--mass scaling of 23 very massive clusters at with homogenously measured weak-lensing masses and richnesses within a fixed aperture of M…