Spatial and Syndromic Surveillance for Public Health

Following the events of 9/11 and in the current world climate,there is increasing concern of the impact of potential bioterrorismattacks. Spatial surveillance systems are used to detect changes inpublic health data, and alert us to possible outbreaks of disease,either from natural resources or from bioterrorism attacks.Statistical methods play a key role in spatial surveillance, asthey are used to identify changes in data, and build models of thatdata in order to make predictions about future activity.This book is the first to provide an overview of all the currentkey methods in spatial surveillance, and present them in anaccessible form, suitable for the public health professional. Itfeatures an abundance of examples using real data, highlighting thepractical application of the methodology. It is edited and authoredby leading researchers and practitioners in spatial surveillancemethods.* Provides an overview of the current key methods in spatialsurveillance of public health data.* Includes coverage of both single and multiple diseasesurveillance.* Covers all of the key topics, including syndromic surveillance,spatial cluster detection, and Bayesian data mining.