271 citations · 277 across the 4 of their papers we have counts for
4 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…
Visualising spatio-temporal health data: the importance of capturing the 4th dimension
Alison C. Hale, Charlotte Appleton, P. -J. M. Noble +5
Confronted by a rapidly evolving health threat, such as an infectious disease outbreak, it is essential that decision-makers are able to comprehend the complex dynamics not just in…
Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm
Peter J. Diggle, Paula Moraga, Barry Rowlingson +1
In this paper we first describe the class of log-Gaussian Cox processes (LGCPs) as models for spatial and spatio-temporal point process data. We discuss inference, with a particula…
lgcp An R Package for Inference with Spatio-Temporal Log-Gaussian Cox Processes
Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson +1
This paper introduces an R package for spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte…