Spatial epidemiology: methods and applications.
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SECTION 1 - INTRODUCTION: HEALTH AND POPULATION DATA 1. Spatial epidemiology: methods and applications 2. Health event data 3. The use of population data in spatial epidemiology 4. Socio-economic factors at area level and their relationship with health 5. Bias and confounding in spatial epidemiology SECTION 2 - STATISTICAL METHODS 6. Overview of statistical methods for disease mapping and its relationship to cluster detection 7. Bayesian approaches to disease mapping 8. Clustering, cluster detection and spatial variation in risk 9. Assessment of disease risk in relation to a pre-specified source 10. Geostatistical methods for mapping environmental exposures 11. Ecological correlation studies SECTION 3 - DISEASE MAPPING AND CLUSTERING 12. Disease mapping: a historical perspective 13. Mapping mortality data in the United States 14. Geographical analysis of communicable disease data 15. Bayesian mapping of Hodgkin's disease in France 16. Investigating the genetic association between diabetes and malaria: an application of Bayesian ecological regression models with errors in covariates 17. Do cancers cluster? 18. Geographical variations in childhood leukaemia incidence SECTION 4 - EXPOSURE DATA AND THE LINK TO HEALTH 19. Exposure assessment 20. Personal exposure monitoring in environmental epidemiology 21. Dispersion modelling 22. Combining models of health and exposure data: the SAVIAH study 23. The role of geographical studies in risk assessment 24. Water quality and health 25. Climate change and human health: mapping and modelling potential impacts