syndromic.org

Eighth Annual International Society for Disease Surveillance (ISDS) Conference

2009 International Society for Disease
Surveillance Eighth Annual Conference

Biosurveillance across disciplines:
Advancing health threat awareness and public health protection

Post-Marketing Pharmaco-vigilance and Medical Product Safety

Use of the National Poison Data System (NDPS) for National Public Health Hazardous Exposure and Illness Surveillance
Colleen Martin, CDC
FDA’s Sentinel Initiative
Judith Racoosin, FDA
Machine Assisted Signal Detection Framework Using Text Mining Techniques for Medical Devices
Raoul Jetley, FDA

Outbreak Detection and Management

Outbreak Detection Based on the Time Patients Present to the Emergency Department
Aaron Kite-Powell, Florida Dept. of Health
Utility of the Exposure Syndrome in ESSENCE
Lizbeth Londono, Miami-Dade County Health Dept.
Using Severity Information to Bridge the Gap Between Statistics and Epidemiology
Yevgeniy Elbert, Johns Hopkins University
Awareness at the Edges: How Informal Networks Complement
Michael Prietula, Emory University

Natural Language Processing for Biosurveillance

Evaluation of Triage Note Negation Processing for Syndromic Surveillance
Amy Ising, University of North Carolina at Chapel Hill
Automated Classification of Pneumonia Cases Using Chest XRay Reports for Hospital and Public Health Surveillance
Brett South, University of Utah
Classification in Biosurveillance Systems
Matthew Scholer, University of North Carolina at Chapel Hill
Identifying ILI Cases from Chief Complaints: Comparing Keyword and Support Vector Machine Methods
Norman Vinson, National Research Council of Canada
The ProMed-mail Co-reference Corpus: Outbreak Detection Reports Annotated for Coreference Resolution
Scott DuVall, University of Utah

Event Surveillance/Situational Awareness

A Comparison of Syndromic Surveillance and Mortality Statistics for Heat-Related Illness in Missouri
Emily Kuo, MO Dept. of Health and Senior Services
Q Fever Outbreaks: A Syndromic Approach for Detection of Hidden Clusters
Cees van den Wijngaard, Nat’l Inst. For Public Health and the Environment, The Netherland
Intervention to Enhance Public Health Waterborne Disease Surveillance: Initial Findings
Mary Derby, University of Arizona
Event-Based Biosurveillance of Respiratory Disease in Mexico, 2007—2009: Connection to Swine-Origin Influenza A (H1N1)
Noele Nelson, Georgetown
Emergency Department Visits for Assault and Abuse in Miami- Dade County, 2007-2008
Pamela Mann, Miami-Dade County Health Dept

Enhanced Surveillance for Influenza Using Novel Data Sources or Methods

Taxonomy-Based Pandemic Influenza Surveillance Utilizing Media Sourc
Emily A. Iarocci, Georgetown University
The Utilization of Administrative Surveillance Data to Assess Herd Immunity Against Influenza
Steven Cohen, HHS
Enhanced Surveillance for the Early Detection of the Novel Influenza A/H1N1 pdm in Japan
Yasushi Ohkusa, National Institute of Infectious Disease, Japan

Spatial and Network Methods for Biosurveillance

Fast Graph Scan for Scalable Detection of Arbitrary Connected Clusters
Skyler Speakman, Carnegie Mellon Universit
Small-World Network Models of Epidemic Spread for Bio-Defense Application
Karen Cheng, Applied Research Associates
T-Cube Web Interface for Real-Time Biosurveillance in Sri Lanka
Maheshkumar Sabhnani, Carnegie Mellon University
A Space Time Clustering Method for Crime Surveillance
Marcelo Costa, Universidade Federal de minas Gerais, Brazil