Statisical Methods in Spatial Epidemiology offers a complete coverage of the analysis and application of spatial statistical methods.

Features:

• Provides a comprehensive overview of the main statistical methods used in spatial epidemiology
• Updated to include a new emphasis on bio-terrorism and disease surveillance
• Emphasizes the importance of space-time modelling and outlines the practical application of the method
• Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software
• Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques

Contents

Definitions, Terminolgy and Data Sets

• Map Hypotheses and Modelling Approaches
• Definitions and Data Examples

Scales of Measurement and Data Availability

• Small Scale
• Large Scale
• Rate Dependence
• DataQuality and the Ecological Fallacy
• Edge E.ects

Geographical Representation and Mapping

• Maps and Mapping
• Statistical Accuracy
• Aggregation
• Mapping Issues related toAggregated Data

Basic Models

• Sampling Considerations
• Likelihood-based and Bayesian Approaches
• Point EventModels
• CountModels

Exploratory Approaches, Parametric Estimation and Inference

• ExploratoryMethods
• Parameter Estimation
• Residual Diagnostics
• Hypothesis Testing
• Edge E.ects

Small Scale: Disease Clustering

• Definition of Clusters and Clustering
• Modelling Issues
• Hypothesis Tests for Clustering
• Space-Time Clustering
• OtherMethods related to clustering

Small Scale: Putative Sources of Hazard

• StudyDesign
• Problems of Inference
• Modelling the Hazard Exposure Risk
• Models for Case Event Data
• ACase Event Example
• Models for CountData
• ACountData Example

Large Scale: Disease Mapping

• Simple Statistical Representation
• BasicModels
• AdvancedMethods
• Model Variants and Extensions
• ApproximateMethods
• MultivariateMethods
• Evaluation ofModel Performance
• Hypothesis Testing in DiseaseMapping
• Space-Time DiseaseMapping
• Spatial Survival and longitudinal data
• DiseaseMapping: Case Studies

Ecological Analysis and Scale Change

• Ecological Analysis: Introduction
• Small-ScaleModelling Issues
• Changes of Scale andMAUP
• A Simple Example: Sudden Infant Death in North Carolina
• ACase Study: Malaria and IDDM

Infectious Disease Modelling

• GeneralModelDevelopment
• SpatialModelDevelopment
• Modelling Special Cases for Individual Level Data
• Survival Analysis with spatial dependence
• Individual level data example
• Underascertainment and Censoring

Large Scale: Surveillance

• Process ControlMethodology
• Spatio-Temporal Modelling
• Spatio-TemporalMonitoring
• Syndromic Surveillance
• Multivariate-Mulitfocus Surveillance
• Bayesian Approaches
• Computational Considerations
• Infectious Diseases

Index

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