A Bayesian Spatio-Temporal Model of COVID-19 Cases in England

Title

A Bayesian Spatio-Temporal Model of COVID-19 Cases in England

Subject

Statistics

Creator

George Cornish

Contributor

Dr Samuel Touchard

Abstract

This project studies the regional disparities in COVID-19 cases, and asks which factors are responsible. The epidemic is modelled using Bayesian statistics with the R-INLA package to investigate spatial and temporal trends in the data.

Meta Tags

Bayesian Statistics, Statistics, Epidemiology

Files

Citation

George Cornish, “A Bayesian Spatio-Temporal Model of COVID-19 Cases in England,” URSS SHOWCASE, accessed October 14, 2026, https://urss.warwick.ac.uk/items/show/1114.