Handbook of Biosurveillance

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 outbreaksProvides extensive coverage of existing surveillance dataDiscusses experimental methods for data measurement and evaluationAddresses engineering and practical implementation of effective early detection systemsIncludes real case studies

PART 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 Agreement—Personnel

Data Use Agreement with Commercial Data Provider

Glossary

Index