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Handbook of Spatial Epidemiology
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Main 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.


Introduction Integration of Different Epidemiologic Perspectives and Applications to Spatial Epidemiology Sara Wagner Robb, Sarah E. Bauer, and John E. Vena Environmental Studies Mark J. Nieuwenhuijsen Interpreting Clusters of Health Events Geoffrey Jacquez and Jared Aldstadt Geographic Information Systems in Spatial Epidemiology and Public Health Robert Haining and Ravi Maheswaran Ecological Modeling: General Issues Jon Wakefield and Theresa R. Smith Basic Methods Case Event and Count Data Modeling Andrew B. Lawson Bayesian Modeling and Inference Georgiana Onicescu and Andrew B. Lawson Statistical Tests for Clustering and Surveillance Peter A. Rogerson and Geoffrey Jacquez Scan Tests Inkyung Jung Kernel Smoothing Methods Martin L. Hazelton Special Methods Geostatistics in Small-Area Health Applications Patrick E. Brown Splines in Disease Mapping Tomas Goicoa, Jaione Etxeberria, and Maria Dolores Ugarte Quantile Regression for Epidemiological Applications Brian J. Reich Focused Clustering: Statistical Analysis of Spatial Patterns of Disease around Putative Sources of Increased Risk Lance A. Waller, David C. Wheeler, and Jeffrey M. Switchenko Estimating the Health Impact of Air Pollution Fields Duncan Lee and Sujit K. Sahu Data Assimilation for Environmental Pollution Fields Howard H. Chang Spatial Survival Models Sudipto Banerjee Spatial Longitudinal Analysis Andrew B. Lawson Spatiotemporal Disease Mapping Andrew B. Lawson and Jungsoon Choi Mixtures and Latent Structure in Spatial Epidemiology Md. Monir Hossain and Andrew B. Lawson Bayesian Nonparametric Modeling for Disease Incidence Data Athanasios Kottas Multivariate Spatial Models Sudipto Banerjee Special Problems and Applications Bayesian Variable Selection in Semiparametric and Nonstationary Geostatistical Models: An Application to Mapping Malaria Risk in Mali Federica Giardina, Nafomon Sogoba, and Penelope Vounatsou Computational Issues and R Packages for Spatial Data Analysis Marta Blangiardo and Michela Cameletti The Role of Spatial Analysis in Risk-Based Animal Disease Management Kim B. Stevens and Dirk U. Pfeiffer Infectious Disease Modelling Michael Hohle Spatial Health Surveillance Ana Corberan-Vallet and Andrew B. Lawson Cluster Modeling and Detection Andrew B. Lawson Spatial Data Analysis for Health Services Research Brian Neelon Spatial Health Survey Data Christel Faes, Yannick Vandendijck, and Andrew B. Lawson Graphical Modeling of Spatial Health Data Adrian Dobra Smoothed ANOVA Modeling Miguel A. Martinez-Beneito, James S. Hodges, and Marc Mari-Dell'Olmo Sociospatial Epidemiology: Segregation Sue C. Grady Sociospatial Epidemiology: Residential History Analysis David C. Wheeler and Catherine A. Calder Spatiotemporal Modeling of Preterm Birth Joshua L. Warren, Montserrat Fuentes, Amy H. Herring, and Peter H. Langlois Index


ISBN-13: 9781482253023
Publisher: Elsevier (Apple Academic Press Inc.)
Publication date: April, 2016
Pages: 680

Subcategories: Epidemiology