Spatial Analysis in Epidemiology | 
enlarge | Authors: Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.a. Clements Creators: Dirk U. Pfeiffer, Timothy P. Robinson Publisher: Oxford University Press, USA Category: Book
List Price: $70.00 Buy New: $54.51 You Save: $15.49 (22%)
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Sales Rank: 266982
Media: Paperback Edition: 1 Number Of Items: 1 Pages: 208 Shipping Weight (lbs): 0.8 Dimensions (in): 9.5 x 7.4 x 0.5
ISBN: 0198509898 Dewey Decimal Number: 614.40727 EAN: 9780198509899 ASIN: 0198509898
Publication Date: July 25, 2008 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.
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Product Description 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
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