Handbook of Spatial Epidemiology

Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in...

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Bibliographic Details
Other Authors: Lawson, Andrew B. (Editor), Banerjee, Sudipto (Editor), Haining, Robert P. (Editor), Ugarte, María Dolores (Editor)
Format: Book
Language:English
Published: Boca Raton CRC Press/Taylor & Francis 2016
Series:Chapman & Hall/CRC handbooks of modern statistical methods
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Online Access:Click Here to View Status and Holdings.
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245 0 0 |a Handbook of Spatial Epidemiology  |c edited by Andrew B. Lawson, Medical University of South Carolina, Charleston, USA, Sudipto Banerjee, UCLA Fielding School of Public Health, Los Angeles, California, USA, Robert P. Haining, University of Cambridge, United Kingdom, María Dolores Ugarte, Public University of Navarre, Pamplona, Spain 
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504 # # |a Includes bibliographical references and index 
520 # # |a Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide important information that leads to better decision making in public health. The first part of the book addresses general issues related to epidemiology, GIS, environmental studies, clustering, and ecological analysis. The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods, and testing and nonparametric approaches. With a focus on special methods, the third part describes geostatistical models, splines, quantile regression, focused clustering, mixtures, multivariate methods, and much more. The final part examines special problems and application areas, such as residential history analysis, segregation, health services research, health surveys, infectious disease, veterinary topics, and health surveillance and clustering 
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