The short course is a practical introduction to a suite of geostatistical methods specifically designed for the joint analysis of exposure and health data.
Participants will learn how to
- analyse the spatial and temporal distributions of data using statistical and geostatistical tools,
- detect local clusters of pathologies and outliers of health outcomes,
- estimate and map disease risk from health data,
- perform spatial interpolation and stochastic modeling of exposure data,
- quantify uncertainty linked to these estimations and modeling,
- study and visualize relationships between exposure and health data in space.
Lectures will alternate with analysis of real environmental and health data in exercises, using a space-time information system (STIS developed by TerraSeer) and a geostatistical modeling software.
Last update: 12/20/2005 by Hélène Demougeot-Renard.