Spatial Epidemiology is a rapidly growing field of research concerned with the analysis of the geographical distribution of disease. This principally involves mapping the location of disease cases and the analysis of the mapped data using spatial statistical methods. The growth of the field looks set to continue in line with increasing public, government and media concern about environmental and health issues. 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.
Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio–terrorism making such analysis even more complex. This second edition of
Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as
disease mapping,
ecological analysis,
disease clustering,
bio–terrorism,
space–time analysis,
surveillance and
infectious disease modelling.
- 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.
This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.
