Handbook of Spatial Epidemiology

Andrew B. Lawson, Sudipto Banerjee, Robert P. Haining, Maria Dolores Ugarte

April 4, 2016 by Chapman and Hall/CRC
Reference - 686 Pages - 129 B/W Illustrations
ISBN 9781482253016 - CAT# K23899
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

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Features

  • Explores the use of GIS and spatial statistics as tools for the analysis of spatial epidemiological data
  • Presents methodological advances, including linear quantile regression, nonparametric spatial/spatiotemporal prior models, and smoothed analysis of variance (SANOVA)
  • Covers applications in human and veterinary epidemiology
  • Uses R and other computational tools for spatial data analysis
  • Offers color versions of the figures, program code for the models fitted, and datasets used in the examples on a supplementary website

Summary

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.

Spatial epidemiology, also known as disease mapping, studies the geographical or spatial distribution of health outcomes. This handbook offers a wide-ranging overview of state-of-the-art approaches to determine the relationships between health and various risk factors, empowering researchers and policy makers to tackle public health problems.