3 papers
stat.AP2026
Comparing statistical learning models in wastewater-based epidemiology: An application to norovirus
Caelan McNamara, Fion Tan, Ella White +2
Wastewater-based epidemiology (WBE) is an increasingly important tool for infectious disease surveillance, but there has been limited direct comparison of modelling approaches for…
stat.AP2026
A spatio-temporal block aggregation model for latent log Gaussian outcomes: application on modelling wastewater virus concentration in Wales
Stephen Jun Villejo, Peter Diggle, Guangquan Li +6
Wastewater-based epidemiology has emerged as a valuable tool for monitoring community-level infectious disease dynamics, providing population-wide signals that complement clinical…
stat.ME2026
Spatially continuous modelling of aggregated outcome data
Stephen Jun Villejo, Peter Diggle, Finn Lindgren +5
This work develops a block aggregation approach to spatial estimation and prediction when the response is observed at a coarse spatial scale, for example as counts of events in adm…