Infectious Disease Informatics and Biosurveillance (Hardcover)

Chapter 1: Real-Time Public Health Biosurveillance: Systems and Policy Considerations.- Chapter 2: Clinical Laboratory Data for Biosurveillance.- Chapter 3: Using Emergency Department Data for Biosurveillance: The North Carolina Experience.- Chapter 4: Biosurveillance Based on Test Orders from Veterinary Diagnostic Labs.- Chapter 5: Knowledge Mapping for Bioterrorism-related Literature.- Chapter 6: Designing Ethical Pratice in Biosurveillane: The Project Argus Doctrine.- Chapter 7: Markov Switching Models for Outbreak Detection.- Chapter 8: Detection of Events in Multiple Streams of Surveillance Data: Multivariate, Multi-stream and Multidimensional Approaches.- Chapter 9: Algorithm Combination for Improved Performance in Biosurveillance: Algorithms Combination for Improved Surveillance.- Chapter 10: Modeling in Space and Time: A Framework for Visualization and Collaboration.- Chapter 11: Surveillance of Infectious Diseases Using Spatial and Temporal Clustering Methods: Spatial and Temporal Clustering Methods Used in Epidemiology of Infectious Diseases.- Chapter 12: Natural Language Processing for Biosurveillance: Detection and Characterization from Textual Clinical Reports.- Chapter 13: Modeling in Immunization and Biosurveillance.- Chapter 14: Age-Adjustment in National Biosurveillance Systems: A Survey of Issues and Analytical Tools for Age-adjustment in Biosurveillance.- Chapter 15: Social Networking Analysis for Contract Tracing.- Chapter 16: Multi-Agent Modeling of Biological and Chemical Threats.- Chapter 17: Integrated Health Altering and Notification: A Case Study in New York State.- Chapter 18: Design and Performance of a Public Health Preparedness Informatics Framework.- Chapter 19: System Evaluation and User Technology Adoption: A Case Study of BioPortal.- Chapter 20: Syndromic Surveillance for the G8 Hokkaido Toyako Summit Meeting.