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

Methods of Enhancing Surveillance II

Poison Center Data Use for Enhanced Public Health Surveillance
Amy Ising, University of North Carolina at Chapel Hill
Spatial Epidemiology Improves a Prediction Model for Lyme Facial Palsy
Andrew Fine, Harvard Medical School
Using Poison Control Data to Identify Pesticide Exposure in Miami-Dade County
Erin O’Connell, Miami-Dade County Health Dept.
Automated and Customized Report System for Enhanced Emergency Department Influenza Surveillance
Fermin Leguen, Miami Dade County Health Department

Bayesian Methods for Outbreak Detection

Fast Subset Sums for Multivariate Bayesian Scan Statistics
Daniel Neill, Carnegie Mellon University
Endemic Disease Surveillance Using Bayes Factor
Luiz Duczmal, Universidade Federal de Minas Gerais, Brazil
Using MSA-Specific Bayesian Predictive Distributions to Detect Outbreaks of Influenza- Like Illness
Owen Devine, CDC
Spatio-Temporal Bayesian Hierarchical Model for Influenza Surveillance
Ta-Chien Chan, National Taiwan University

Information Fusion and Visualization

Yes We Can! Use of Multiple Syndromic Surveillance Systems for Detection of Post Inauguration and Late- Season Influenza Events
Alan Siniscalchi, Connecticut Dept. of Public Health
Georgia Flu Trends: Developing a Concise, Accessible Spatial- Temporal Visualization of Influenza-Like Illness Data from Open Source Tools
Karl Soetebier, Georgia Div. of Public Health

Data Visualization and Evaluation

Evaluating the Validity of Emergency Department Data for Biosurveillance
Clifton Barnett, University of North Carolina at Chapel Hill
Evaluation of Syndromic Surveillance: Influenza-Like Illness
Ellen Whitney, Emory University
Analyzing ILINET Data for Increased Spatial Resolution
Howard Burkom, Johns Hopkins University
Did Advances in Global Surveillance and Notification Systems Make a Difference in the 2009 H1N1 Pandemic
Michael Stoto, Georgetown University

Information Systems and Structure

An Agile Technical Infrastructure for Syndromic Surveillance: DiSTRIBuTE
Ian Painter, University of Washington
Tracking Influenza Using a Multi-Sectoral Healthcare Data Mart
Data Mart— Joel Greenspan, SDI, Pennsylvania