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.
General
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