STATISTICAL METHODS SPATIAL EPIDEMIOLOGY
Comprehensive overview of the main statistical methods used in spatial epidemiology
Contains many data examples - each represents a different approach to the analysis, and provides an insight into the various modelling techniques
Describes modern simulation-based methods suitable for highly complex modelling problems
Discusses the wide range of software available for analysing spatial data
Contains an extensive bibliography
The first part of the book provides all the necessary definitions and terminology, introduces some data examples, and considers map construction along with some basic models. The second part covers important problems in spatial epidemiology, with detailed coverage of disease mapping, ecological analysis, disease clustering and infectious disease modelling.
Primarily aimed at medical statisticians, epidemiologists, environmental statisticians, and researchers in public health, this text will also appeal to postgraduate students of statistics or epidemiology.
Table of Contents:
THE NATURE OF SPATIAL EPIDEMIOLOGY.
Definitions, Terminology and Data Sets.
Scales of Measurement and Data Availability.
Geographical Representation and Mapping.
Exploratory Approaches, Parametric Estimation and Inference.
IMPORTANT PROBLEMS IN SPATIAL EPIDEMIOLOGY.
Small Scale: Disease Clustering.
Small Scale: Putative Sources of Hazard.
Large Scale: Disease Mapping.
Large Scale: Surveillance.
Infectious Disease Modelling.
Appendix A: Monte Carlo Testing and Simulation Envelopes.
Appendix B: Markov Chain Monte Carlo Methods.
Appendix C: Metropolis-Hastings Cluster Sampling.
Appendix D: Glossary of Estimators.
Appendix E: Software.