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Spatial Analysis in Epidemiology
Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, and Archie C.A. Clements
160 pages
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50 illustrations, including an 8 page colour plate section
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246x189mm
978-0-19-850988-2
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Hardback
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29 May 2008
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- Only introductory level text available, bringing together a specialised and widely-dispersed literature
- Examines the use of GIS and remotely sensed data to understand and predict disease prevalence
- Includes a wide range of examples taken from both medical and veterinary disciplines, and including both infectious diseases and non-infectious conditions
- Provides worked examples using a single data set, following standardised nomenclature throughout
- Structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support
This book provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology - the study of the incidence and distribution of diseases. Used appropriately, spatial analytical methods in conjunction with GIS and remotely sensed data can provide significant insights into the biological patterns and processes that underlie disease transmission. In turn, these can be used to understand and predict disease prevalence. This user-friendly text brings together the specialised and widely-dispersed literature on spatial analysis to make these
methodological tools accessible to epidemiologists for the first time.
With its focus is on application rather than theory, Spatial Analysis in Epidemiology includes a wide range of examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. Furthermore, it provides worked examples of methodologies using a single data set from the same disease example throughout, and is structured to follow the logical sequence of description of spatial data, visualisation, exploration, modelling and decision support. This accessible text is aimed at graduate students and researchers dealing with spatial data in the fields of epidemiology (both medical and veterinary), ecology, zoology and
parasitology, environmental science, geography and statistics.Readership: This inter-disciplinary text is aimed at graduate students and researchers dealing with spatial data in the fields of epidemiology (medical and veterinary), ecology, zoology & parasitology, environmental science, geography and statistics.
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Dirk U. Pfeiffer, Epidemiology Division, Royal Veterinary College, University of London, UK, Timothy P. Robinson, Food and Agricultural Organisation of the United Nations, Italy, Mark Stevenson, Epicentre, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, New Zealand, Kim B. Stevens, Epidemiology Division, Royal Veterinary College, University of London, United Kingdom, David J. Rogers, Department of Zoology, Oxford University, UK, and Archie C.A. Clements, Division of Epidemiology and Social Medicine, School of Population Health, University of Queensland, Australia
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Abbreviations
Preface
1: Introduction
2: Spatial data
3: Spatial visualisation
4: Spatial clustering of disease and global estimates of cluster analysis
5: Local estimates of spatial clustering
6: Spatial variation in risk
7: Identifying factors associated with the spatial distribution of disease
8: Spatial assessment and management of disease risk
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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