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Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance. - Reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks - Provides extensive coverage of existing surveillance data - Discusses experimental methods for data measurement and evaluation - Addresses engineering and practical implementation of effective early detection systems - Includes real case studies
Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in
As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geographic or nat
After the September 11, 2001, terrorist attacks and subsequent anthrax mailings, the U.S. government prioritized a biosurveillance strategy aimed at detecting,
Recently, there has been an increased focus on developing the ability to provide early detection of and situational awareness during a disease outbreak. The Imp
