Activity: Participating in or organising event(s) › Organising a conference, workshop, exhibition, performance, inquiry, course etc › Research
Disease risk is influenced by a complex interplay of factors including climate, socio-economic, and environmental factors. Spatial and spatiotemporal modelling approaches in disease risk mapping continue to advance in scope with the availability of climate and environmental variables. Spatial and spatiotemporal methods offer the opportunity to identify the direction of climate-disease relationships, quantify these relationships and allows for spatial prediction and forecast of disease risk. Despite the advances in this area, some scientific and methodological challenges have not been fully addressed: these include the spatial/temporal scale used to construct the climate/environmental variables, variable selection among potential (correlated and uncorrelated) climate/environmental variables, and accounting for migration.
The aim of this session is to gather experts working in the field of spatial statistics in the context of environmental epidemiology/health, to develop networks and disseminate important new findings on spatial and spatiotemporal modelling of climate and environmental-sensitive diseases.