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OverviewProvides 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. Full Product DetailsAuthor: Michael M. Wagner (Real-time Outbreak and Disease Surveillance (RODS) Laboratory, Center for Biomedical Informatics<br>University of Pittsburgh, Pennsylvania, USA) , Andrew W. Moore (School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA) , Ron M. Aryel (Del Rey Technologies, Kansas City, Missouri, USA)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Dimensions: Width: 21.50cm , Height: 3.20cm , Length: 27.80cm Weight: 1.900kg ISBN: 9780123693785ISBN 10: 0123693780 Pages: 624 Publication Date: 10 July 2006 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Out of Print Availability: In Print Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsPART I: THE CHALLENGE OF BIOSURVEILLANCE Chapter 1: Introduction Chapter 2: Outbreaks and Investigations Chapter 3: Case Detection, Outbreak Detection, and Outbreak Characterization Chapter 4: Functional Requirements for Biosurveillance PART II: ORGANIZATIONS THAT CONDUCT BIOSURVEILLANCE AND THE DATA THEY COLLECT Chapter 5: Governmental Public Health Chapter 6: The Healthcare System Chapter 7: Animal Health Chapter 8: Laboratories Chapter 9: Water Suppliers Chapter 10: Food and Pharmaceutical Industries Chapter 11: Coroners and Medical Examiners Chapter 12: Other Organizations That Conduct Biosurveillance PART III: DATA ANALYSIS Chapter 13: Case Detection Algorithms Chapter 14: Classical Time-Series Methods for Biosurveillance Chapter 15: Combining Multiple Signals for Biosurveillance Chapter 16: Methods for Detecting Spatial and Spatio-Temporal Clusters Chapter 17: Natural Language Processing for Biosurveillance Chapter 18: Bayesian Methods for Diagnosing Outbreaks Chapter 19: Atmospheric Dispersion Modeling in Biosurveillance Chapter 20: Methods for Algorithm Evaluation PART IV: NEWER TYPES OF SURVEILLANCE DATA Chapter 21: Methods for Evaluating Surveillance Data Chapter 22: Sales of Over-the-Counter Healthcare Products Chapter 23: Chief Complaints and ICD Codes Chapter 24: Absenteeism Chapter 25: Emergency Call Centers Chapter 26: The Internet as Sentinel Chapter 27: Physiologic and Space-Based Sensors Chapter 28: Data NOS (Not Otherwise Specified) PART V: DECISION MAKING Chapter 29: Decision Analysis Chapter 30: Probabilistic Interpretation of Surveillance Data Chapter 31: Economic Studies in Biosurveillance PART VI: BUILDING AND FIELD TESTING BIOSURVEILLANCE SYSTEMS Chapter 32: Information Technology Standards in Biosurveillance Chapter 33: Architecture Chapter 34: Advancing Organizational Integration: Negotiation, Data Use Agreements, Law and Ethics Chapter 35: Other Design and Implementation Issues Chapter 36: Project Management Chapter 37: Methods for Field Testing of Biosurveillance Systems Epilogue: The Future of Biosurveillance APPENDICES CDCâ„¢ Severe Acute Respiratory Syndrome Sample Questionnaire/Survey Surveillance Data Tables Derivation of Bayes’ Rule Predictive Value Positive and Negative Data Communication to RODS: Technical Specifications Data Use Agreement Department of Health Authorized Use Agreement for Clinical Data National Retail Data Monitor/RODS Account Access Agreement Data Security Agreementâ€Personnel Data Use Agreement with Commercial Data Provider Glossary IndexReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |