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Central Library - Vidyasagar University

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Spatial Analysis in Epidemiology / by Dirk U. Pfeiffer ...[ et al].

By: Pfeiffer, Dirk U.
Contributor(s): Robinson, Timothy P [joint author] | Stevenson, Mark [joint author] | Stevens, Kim B [joint author] | Rogers, David J [joint author] | Clements, Archie C. A, joint author.
Material type: TextTextPublisher: Oxford: Oxford Scholarship Online, 2008ISBN: 9780191709128 ( e-book ).Subject(s): BiologyGenre/Form: Electronic booksDDC classification: 614.4 Online resources: https://doi.org/10.1093/acprof:oso/9780198509882.001.0001 View to click Summary: This book provides an 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 book 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 on application rather than theory, this book includes examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. It also 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.
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This book provides an 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 book 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 on application rather than theory, this book includes examples taken from both medical (human) and veterinary (animal) disciplines, and describes both infectious diseases and non-infectious conditions. It also 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.

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