Spatial and Syndromic Surveillance for Public Health
Andrew B. Lawson, Ken Kleinman
John Wiley & Sons, Sep 27, 2005 - Medical - 284 pages
Following the events of 9/11 and in the current world climate, there is increasing concern of the impact of potential bioterrorism attacks. Spatial surveillance systems are used to detect changes in public 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, as they are used to identify changes in data, and build models of that data in order to make predictions about future activity.
This book is the first to provide an overview of all the current key methods in spatial surveillance, and present them in an accessible form, suitable for the public health professional. It features an abundance of examples using real data, highlighting the practical application of the methodology. It is edited and authored by leading researchers and practitioners in spatial surveillance methods.
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Part I Introduction to Temporal Surveillance
Part II Basic Methods for Spatial and Syndromic Surveillance
Part III Database Mining and Bayesian Methods