Main description:

This book 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. It reviews the current mathematical, statistical, and computer science systems for early detection of disease outbreaks. It provides extensive coverage of existing surveillance data, and discusses experimental methods for data measurement and evaluation. It addresses engineering and practical implementation of effective early detection systems, and includes real case studies.

Contents:

Section Contents: Preface Acknowledgments Part I: The Challenge of Biodefense Part II: Organizations that Conduct Biosurveillance and the Data they Collect Part III: Analysis Part IV. Other Sources of Surveillance Data Part V: Decision Making Part VI: Building Biosurveillance Systems Epilogue: The Future of Biosurveillance