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Spatial Epidemiology
Methods and Applications
Edited by Paul Elliott, Jon Wakefield, Nicola Best, and David Briggs
502 pages
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8pp colour plates and numerous line figures
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240x168mm
978-0-19-851532-6
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Paperback
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23 August 2001
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This item is printed to order. Items which are printed to order are normally despatched and charged within 5-10 days.
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- Only critical review of subject available
- Easy to read, clear and concise
- Mixes practical application with theory
- Useful for researchers at any level
- Serves as teaching and reference book
- Internationally known expert contributors
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.
Readership: Biostatisticians, epidemiologists, geographers and pollution modellers - all those interested in spatial analysis and those concerned with
understanding the geographical distribution of disease and the effects of environmental exposures on health. UG and PG courses in epidemiology, medical geography, biostatistics, environmental health and environmental science as well as a useful reference source for health policy makers, health economists and others in the field of environmental health.
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Edited by Paul Elliott, Professor of Epidemiology and Public Health Medicine, Imperial College School of Medicine, Jon Wakefield, Small Area Health Statistics Unit, Imperial College School of Medicine and Department of Statistics, University of Washington, Seattle, Nicola Best, Small Area Health Statistics Unit, Imperial College School of Medicine, and David Briggs, Small Area Health Statistics Unit, Imperial College School of Medicine
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". . . this book is a very valuable addition to the bookshelf of public health officials, epidemiologists, environmental scientists, medical geographers and biostatisticians who collect and analyse geographical health data. It is a resource for experts and novices alike." - Statistics in Medicine, Vol 22, No 14 ". . . a bench-mark text: an excellent addition to the literature on spatial epidemiology." - Biometrics
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Section 1 - Introduction: health and population data
1.: Elliott, Wakefield, Best & Briggs: Spatial epidemiology: methods and applications
2.: Staines & Järup: 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.: Mollié: 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.: Järup: 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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