Spatial Analysis in Epidemiology

Name: Spatial Analysis in Epidemiology
Brand: Oxford University Press
SKU: 9780198509882
Price: 802.0 PLN
Availability: InStock

Autor: Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.A. Clements

Język:

Oprawa: Twarda

Wydawca: Oxford University Press

Dostępność: Dostępna u dostawcy

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This book provides a practical, comprehensive and up-to-date overview of the use of spatial statisti...

Informacje o książce

Autor

Dirk U. Pfeiffer, Timothy P. Robinson, Mark Stevenson, Kim B. Stevens, David J. Rogers, Archie C.A. Clements

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2008

strony

160

EAN

9780198509882

ISBN

019850988X

Enbook ID

04866074

Wydawca

Oxford University Press

Waga

539

Wymiary

194 x 253 x 15

Pełny opis

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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