图书简介
This book describes, quantifies and explains geographical variations in disease, especially with respect to environmental exposures at the small area scale. It is useful for researchers at any level of experiance with spatial analysis and serves well as both a teaching text and reference book.
Section 1 - Introduction: health and population data; 1. Elliott, Wakefield, Best & Briggs: Spatial epidemiology: methods and applications; 2. Staines & Jarup: Health event data; 3. Arnold, Diamond & Wakefield: The use of population data in spatial epidemiology; 4. Carstairs: Socio-economic factors at area level and their relationship with health; 5. Elliott & Wakefield: Bias and confounding in spatial epidemiology; Section 2 - Statistical methods; 6. Diggle: Overview of statistical methods for disease mapping and its relationship to cluster detection; 7. Wakefield, Best & Waller: Bayesian approaches to disease mapping; 8. Wakefield, Kelsall & Morris: Clustering, cluster detection and spatial variation in risk; 9. Morris & Wakefield: Assessment of disease risk in relation to a pre-specified source; 10. Cressie: Geostatistical methods for mapping environmental exposures; 11. Richardson & Monfort: Ecological correlation studies; Section 3 - Disease mapping and clustering; 12. Walter: Disease mapping: a historical perspective; 13. Pickle: Mapping mortality data in the United States; 14. Atkinson & Molesworth: Geographical analysis of communicable disease data; 15. Mollie: Bayesian mapping of Hodgkin’s disease in France; 16. Bernardinelli, Pascutto, Montmoli & Gilks: Investigating the genetic association between diabetes and malaria: an application of Bayesian ecological regression models with errors in covariates; 17. Alexander & Boyle: Do cancers cluster?; 18. Bithell & Vincent: Geographical variations in childhood leukaemia incidence; Section 4 - Exposure data and the link to health; 19. Briggs: Exposure assessment; 20. Nieuwenhuijsen: Personal exposure monitoring in environmental epidemiology; 21. Colvile & Briggs: Dispersion modelling; 22. Best, Ickstadt, Wolpert & Briggs: Combining models of health and exposure data: the SAVIAH study; 23. Jarup: The role of geographical studies in risk assessment; 24. Kanarek: Water quality and health; 25. McMichael, Martens, Kovats & Lele: Climate change and human health: mapping and modelling potential impacts
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