- Discusses the technologies involved in collecting, sharing, reporting, & analyzing, infectious disease data. Provides data & decision-making support for infectious disease prevention, detection, & management
- Outlines how to detect, analyze, & stop bio-terrorism of both natural causes & political motivation that are major problems for the researchers, students & practitioners of the medical & public health
- Handbook developed by top-notch editors from fields that contributed to IDI
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.
Drawing on their collective and respective expertise, the Editors and contributing authors are developing a handbook project on two intersecting modern problems: infectious disease informatics and biosurveillance. Infectious Disease Informatics (IDI) is a field that has emerged from biomedical informatics. Biosurveillance is an IDI application focusing on monitoring for new outbreaks of infectious diseases. Both areas are closely related and they have significant practical implications in the globalized world we live in.INFECTIOUS DISEASE INFORMATICS AND BIOSURVEILLANCE: A Handbook of Research, Systems and Case Studies will be a systematic combined work which will accomplish the following: (1) provide structure to the multidisciplinary research in this fast moving, dynamic field, (2) define and further build the field, and (3) create an authoritative reference book for researchers, students and practitioners in the field.