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Handbook of Spatial Epidemiology

Edited by: Andrew B. Lawson , Sudipto Banerjee , Robert P. Haining , María Dolores Ugarte

Print publication date:  April  2016
Online publication date:  April  2016

Print ISBN: 9781482253016
eBook ISBN: 9781482253023
Adobe ISBN:

 Cite  Marc Record

Book description

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.

Table of contents

Chapter  1:  Integration of Different Epidemiologic Perspectives and Applications to Spatial Epidemiology Download PDF
Chapter  2:  Environmental Studies Download PDF
Chapter  3:  Interpreting Clusters of Health Events Download PDF
Chapter  4:  Geographic Information Systems in Spatial Epidemiology and Public Health Download PDF
Chapter  5:  Ecological Modeling: General Issues Download PDF
Chapter  6:  Case Event and Count Data Modeling Download PDF
Chapter  7:  Bayesian Modeling and Inference Download PDF
Chapter  8:  Statistical Tests for Clustering and Surveillance Download PDF
Chapter  9:  Scan Tests Download PDF
Chapter  10:  Kernel Smoothing Methods Download PDF
Chapter  11:  Geostatistics in Small-Area Health Applications Download PDF
Chapter  12:  Splines in Disease Mapping Download PDF
Chapter  13:  Quantile Regression for Epidemiological Applications Download PDF
Chapter  14:  Focused Clustering: Statistical Analysis of Spatial Patterns of Disease around Putative Sources of Increased Risk Download PDF
Chapter  15:  Estimating the Health Impact of Air Pollution Fields Download PDF
Chapter  16:  Data Assimilation for Environmental Pollution Fields Download PDF
Chapter  17:  Spatial Survival Models Download PDF
Chapter  18:  Spatial Longitudinal Analysis Download PDF
Chapter  19:  Spatiotemporal Disease Mapping Download PDF
Chapter  20:  Mixtures and Latent Structure in Spatial Epidemiology Download PDF
Chapter  21:  Bayesian Nonparametric Modeling for Disease Incidence Data Download PDF
Chapter  22:  Multivariate Spatial Models Download PDF
Chapter  23:  Bayesian Variable Selection in Semiparametric and Nonstationary Geostatistical Models: An Application to Mapping Malaria Risk in Mali Download PDF
Chapter  24:  Computational Issues and R Packages for Spatial Data Analysis Download PDF
Chapter  25:  The Role of Spatial Analysis in Risk-Based Animal Disease Management Download PDF
Chapter  26:  Infectious Disease Modelling Download PDF
Chapter  27:  Spatial Health Surveillance Download PDF
Chapter  28:  Cluster Modeling and Detection Download PDF
Chapter  29:  Spatial Data Analysis for Health Services Research Download PDF
Chapter  30:  Spatial Health Survey Data Download PDF
Chapter  31:  Graphical Modeling of Spatial Health Data Download PDF
Chapter  32:  Smoothed ANOVA Modeling Download PDF
Chapter  33:  Sociospatial Epidemiology: Segregation Download PDF
Chapter  34:  Sociospatial Epidemiology: Residential History Analysis Download PDF
Chapter  35:  Spatiotemporal Modeling of Preterm Birth Download PDF
prelims Download PDF
Index Download PDF
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