Part I: Introduction
Chapter 1: Integration of Different Epidemiologic Perspectives and Applications to Spatial Epidemiology
Sara Wagner Robb, Sarah E. Bauer, John E. Vena
Chapter 2: Environmental Studies
Mark J. Nieuwenhuijsen
Chapter 3: Interpreting Clusters of Health Events
Geoffrey Jacquez, Jared Aldstadt
Chapter 4: Geographic Information Systems in Spatial Epidemiology and Public Health
Robert Haining, Ravi Maheswaran
Chapter 5: Ecological Modeling: General Issues
Jon C. Wakefield, Theresa R. Smith
Part II: Basic Methods
Chapter 6: Case Event and Count Data Modeling
Andrew B. Lawson
Chapter 7: Bayesian Modeling and Inference
Georgiana Onicescu, Andrew B. Lawson
Chapter 8: Statistical Tests for Clustering and Surveillance
Peter A. Rogerson, Geoffrey Jacquez
Chapter 9: Scan Tests
Inkyung Jung
Chapter 10: Kernel Smoothing Methods
Martin L. Hazelton
Part III: Special Methods
Chapter 11: Geostatistics in Small-Area Health Applications
Patrick E. Brown
Chapter 12: Splines in Disease Mapping
Tomas Goicoa, Jaione Etxeberria, and Maria Dolores Ugarte
Chapter 13: Quantile Regression for Epidemiological Applications
Brian J. Reich
Chapter 14: Focused Clustering: Statistical Analysis of Spatial Patterns of Disease around Putative Sources of Increased Risk
Lance A. Waller, David C. Wheeler, Jeffrey M. Switchenko
Chapter 15: Estimating the Health Impact of Air Pollution Fields
Duncan Lee, Sujit K. Sahu
Chapter 16: Data Assimilation for Environmental Pollution Fields
Howard H. Chang
Chapter 17: Spatial Survival Models
Sudipto Banerjee
Chapter 18: Spatial Longitudinal Analysis
Andrew B. Lawson
Chapter 19: Spatiotemporal Disease Mapping
Andrew B. Lawson, Jungsoon Choi
Chapter 20: Mixtures and Latent Structure in Spatial Epidemiology
Md. Monir Hossain and Andrew B. Lawson
Chapter 21: Bayesian Nonparametric Modeling for Disease Incidence Data
Athanasios Kottas
Chapter 22: Multivariate Spatial Models
Sudipto Banerjee
Part IV: Special Problems and Applications
Chapter 23: Bayesian Variable Selection in Semiparametric and Nonstationary Geostatistical Models: An Application to Mapping Malaria Risk in Mali
Federica Giardina, Nafomon Sogoba, Penelope Vounatsou
Chapter 24: Computational Issues and R Packages for Spatial Data Analysis
Marta Blangiardo, Michela Cameletti
Chapter 25: The Role of Spatial Analysis in Risk-Based Animal Disease Management
Kim B. Stevens, Dirk U. Pfeiffer
Chapter 26: Infectious Disease Modelling
Michael Hoehle
Chapter 27: Spatial Health Surveillance
Ana Corberan-Vallet and Andrew B. Lawson
Chapter 28: Cluster Modeling and Detection
Andrew B. Lawson
Chapter 29: Spatial Data Analysis for Health Services Research
Brian Neelon
Chapter 30: Spatial Health Survey Data
Christel Faes, Yannick Vandendijck, Andrew B. Lawson
Chapter 31: Graphical Modeling of Spatial Health Data
Adrian Dobra
Chapter 32: Smoothed ANOVA Modeling
Miguel A. Martinez-Beneito, James S. Hodges, and Marc Mari-Dell'Olmo
Chapter 33: Sociospatial Epidemiology: Segregation
Sue C. Grady
Chapter 34: Sociospatial Epidemiology: Residential History Analysis
David C. Wheeler, Catherine A. Calder
Chapter 35: Spatiotemporal Modeling of Preterm Birth
Joshua L. Warren, Montserrat Fuentes, Amy H. Herring, Peter H. Langlois