Buch, Englisch, 496 Seiten, Format (B × H): 168 mm x 242 mm, Gewicht: 849 g
Methods and Applications
Buch, Englisch, 496 Seiten, Format (B × H): 168 mm x 242 mm, Gewicht: 849 g
ISBN: 978-0-19-851532-6
Verlag: Oxford University Press
This is a new paperback edition of the well received text Spatial Epidemiology: methods and applications. It is an easy to read, clear and concise exploration of the field of geographical variations in disease. Especially with respect to variations in environmental exposures at the small-area scale this book gives an authoritative account of current practice and developments. The recent and rapid expansion of the field looks set to continue in line with growing public, governmental and media concern about environmental and health issues, and the scientific need to understand and explain the effects of environmental pollutants on health.
Of interest to epidemiologists, public health practitioners, statisticians, geographers, environmental scientists and others concerned with understanding the geographical distribution of disease and the effects of environmental exposures on human health. It will be a valuable source for undergraduate and postgraduate courses in epidemiology, medical geography, biostatistics, environmental health and environmental science as well as a useful source of reference for health policy makers, health economists, regulators and others in the field of environmental health.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Section 1 - Introduction: health and population data
- 1.: Elliott, Wakefield, Best and Briggs: Spatial epidemiology: methods and applications
- 2.: Staines and Järup: Health event data
- 3.: Arnold, Diamond and Wakefield: The use of population data in spatial epidemiology
- 4.: Carstairs: Socio-economic factors at area level and their relationship with health
- 5.: Elliott and 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 and Waller: Bayesian approaches to disease mapping
- 8.: Wakefield, Kelsall and Morris: Clustering, cluster detection and spatial variation in risk
- 9.: Morris and Wakefield: Assessment of disease risk in relation to a pre-specified source
- 10.: Cressie: Geostatistical methods for mapping environmental exposures
- 11.: Richardson and 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 and Molesworth: Geographical analysis of communicable disease data
- 15.: Mollié: Bayesian mapping of Hodgkin's disease in France
- 16.: Bernardinelli, Pascutto, Montmoli and Gilks: Investigating the genetic association between diabetes and malaria: an application of Bayesian ecological regression models with errors in covariates
- 17.: Alexander and Boyle: Do cancers cluster?
- 18.: Bithell and 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 and Briggs: Dispersion modelling
- 22.: Best, Ickstadt, Wolpert and Briggs: Combining models of health and exposure data: the SAVIAH study
- 23.: Järup: The role of geographical studies in risk assessment
- 24.: Kanarek: Water quality and health
- 25.: McMichael, Martens, Kovats and Lele: Climate change and human health: mapping and modelling potential impacts
