Welcome, Program Overview,
Greeting from the International Society for Disease Surveillance
Plenary Session: Opening Remarks and Keynote Speeches
Opening Remarks
Virginia Caine, MD
Director, Marion County Public Health Department
Associate Professor of Medicine, Indiana University School of Medicine
Past President, American Public Health Association
Keynote Speakers
William Karesh, DVM
Director, Field Veterinary Program (FVP) of the Wildlife Conservation Society
David Blazes, MD
Director of the Emerging Infections Program at the Naval Medical Research Center Detachment, Lima, Peru
Plenary session: “Best of the conference: Novel Applications” Incorporating Water Security into Syndromic Surveillance – Steve Babin
Surveillance of Extreme Urban Heat Events Using Satellite Imagery and Geographical Information Systems – Daniel Johnson
Early Detection of Tuberculosis Outbreaks among the San Francisco Homeless – Mojdeh Mohtashemi
T rack 2: Analytical Methods: Spatial Detection Methods – Grand 2 – Second Floor
Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distribution – James Edgerton
An Outbreak Detection Algorithm that Efficiently Performs Complete Bayesian Model Averaging Over All Spatial Clusters of Disease – Yanna Shen
Dual Graph Spatial Cluster Detection for Syndromic Surveillance in Networks – Luiz Duczmal
A Scan Statistic based on Anscombe’s Variance Stabilization Transformation – Kunihiko Takahashi
A Spatial Scan Statistic Scanning Only the Regions with Elevated Risk – Toshiro Tango
Track 3: Public Health Practice: Expanding the use of surveillance systems
Emergency Department Syndromic Surveillance and Population-Based Health Monitoring in Los Angeles County – Emily Kajita
Increasing the Return-on-Investment from Syndromic Surveillance – Shandy Dearth
Detection of Carbon Monoxide Poisoning in Chief Complaint Data – Jian-Hua Chen
Improving Rabies Surveillance Using Syndromic Data – Michael Wade
Using Syndromic Surveillance Data for Enhanced Case-Capture of Conditions of Public Health Interest – Jeffrey Johnson
Track 4: Evaluation and Performance: Evaluation of data sources
Is Crude Mortality Data Suitable for Real Time Surveillance? – Liselotte van Asten
High-Performance, EMR-Based Detection Of Acute Infectious Respiratory Illnesses – Sylvain DeLisle
Comparing the Utility of Ambulatory Care and Emergency Room Data for Disease Outbreak Detection – Marcelo Costa
Combining Laboratory Test Orders and Outpatient Visits to Monitor Respiratory Illness – Cara Olsen
Correlation between Alerts Generated from Electronic Medical Record (EMR) Data Sources and Traditional Data Sources – Michael Thompson
Track 5: Novel Applications: Novel Health Outcomes –
Detecting and Preventing Emerging Epidemics of Crime – Daniel Neill
A Novel Application of Surveillance Algorithms in Childhood Immunization Program Monitoring – Laura McDonald
Health Impact of the 2006 Heat Wave Based on Syndromic Surveillance in Gironde, France – Gaelle Gault
The Association Between Temperature and 911 Calls for Heat-Illness: Potential for Surveillance – Kate Bassil
Identifying Fractures in BioSense Radiology Reports – Achintya Dey
Track 1: Data Acquisition and Processing: Approaches to System Architecture and Data Capture
Services Oriented Architectures and Just in Time Deployment of Ad-Hoc Health Surveillance Systems – Parsa Mirhaji
Electronic Support for Public Health (ESP): Automated Detection and Reporting of Notifiable Diseases – Michael Klompas
SurvNet – Electronic Surveillance System for Infectious Disease Outbreaks in Germany – Karl Schenkel
The Snow Agent System: A Peer-to-Peer System for Disease Surveillance and Diagnostic Assistance – Johan Bellika
Experimental Fully Automatic Syndromic Surveillance in Japan – Yasushi Ohkusa
Track 2: Analytical Methods: Multivariate Detection Methods
Nonparametric Scan Statistic for Multivariate Disease Surveillance – Daniel Neill
Designing Epidemiological Networks for Real-world Surveillance Settings – Ben Reis
Minimizing False Alarms in Syndromic Surveillance – William Peter
A Simple Method of Using Linked Health Data in Syndromic Surveillance – Steve Babin
Incorporating Learning into Disease Surveillance Systems – Daniel Neill
Track 3: Public Health Practice: Surveillance System Sensitivity
Use of Syndromic Surveillance in the Investigation of Salmonella Wandsworth Outbreak – Erin Murray
Use of Surveillance Data to Measure the Impact of Viral Infections among Young Children – Florence Bourgeois
Event Detection in a Vulnerable Population – Erin Murray
Surveillance for Influenza Using the EDSS and HASS Systems, Connecticut, 2004-2007 – Katherine Purviance
Clinical Surveillance Markers of Influenza-like Illness (ILI) at the Veterans Affairs (VA) Hospital – Supriya Rao
Track 4 : Evaluation and Performance: Approaches and Tools for Evaluation
Proposal of a Framework for Evaluating Military Surveillance Systems for Early Detection of Outbreaks – Jean-Baptiste Meynard
The Tradeoffs Driving Policy and Research Decisions in Biosurveillance –
Howard Burkom
Effect of Work-related Mobility in the Simulation of Aerosol Anthrax Releases with BARD – Aurel Cami
Benchmark Data Generation from Discrete Event Contact Network Models – David Bauer
Learning Stable Multivariate Baseline Models for Outbreak Detection — Sajid Siddiqi
Track 5: Novel Applications: Novel Public Health/Epidemiology Applications
Spatial Analysis of an Outbreak of Q Fever – Louise Wilson
Using Electronic Surveillance Systems in Resource-Poor Settings: Why and How –Sheryl Happel Lewis
Tuberculosis Surveillance, Republics of Armenia and Georgia, 2003-2004 –
Daniel Ehlman
Active Fever Surveillance During Malaria Outbreak in Western Jamaica – Maung Aung
Real Time EMS Events as Surrogate Events in Syndromic Surveillance – Alex Garza
Track 1: Data Acquisition and Processing: Beyond the Chief Complaint
Processes for Data Gathering, Assessment and Disease Event Tracking — Camilla Kristensen
An Efficient Approach To Map LOINC Concepts To Notifiable Conditions – Wendy Li
Investigating Syndromic Peaks Using Remotely Available Electronic Medical Records – John Allegra
Automated Detection of GI Syndrome using Structured and Non-Structured data from the VA EMR – Brett South
Automated Detection of Tuberculosis Using Electronic Medical Record Data –
Michael Calderwood
Track 2: Analytical Methods: Spatio-temporal and Temporal Detection Methods
Performance Characteristics of Control Chart Detection Methods – Jerome Tokars
Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Da ta – Yegneniy Elbert
Recursive Least Squares Prediction of Syndromic Data for Surveillance – Amir Najmi
STL and Local Regression for Modeling Disease Surveillance Counts – David Anderson
A Space Time Permutation Scan Statistic with Irregular Shape for Disease Outbreak Detection – Marcelo Costa
Track 3: Public Health Practice: Inter-agency Coordination of Surveillance
Cross Border Syndromic Surveillance: Overview and Recommendations from an ISDS Consultation – Kieran Moore
Super Bowl Surveillance: An Exercise in Inter-Jurisdictional Public Health Information Sharing – Carol Sniegoski
Increasing Local Access to Syndromic Surveillance Data – Michael Wade
Expert Meeting on Legal and Ethical Issues in Syndromic Surveillance – Mike Stoto
Situational Awareness Using Web-based Annotation and Custom Reporting – Amy Ising
Track 4 : Evaluation and Performance: Applied System Evaluation
Enhanced surveillance improved timeliness and sensitivity at the FIFA 2006 World Cup in Germany — Karl Schenkel
Performance of a Syndromic Surveillance System During a Heat Wave – Loic Josseran
Navy Disease Reporting System Case Validation through Use of HL7 and SADR/SIDR Databases : Chlamydia – Gosia Kubiak
Preliminary Findings from the BioSense Evaluation Project – James Buehler
Syndromic Surveillance for Influenza in Washington State: A Local and Regional Perspective – Nicola Marsden-Haug
Track 5: Novel Applications: Novel Data Sources
Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data – Cathy Larson
Implementation of a Syndromic Surveillance System Using a General Practitioners House Calls Network – Claude Flamand
Arizona’s Near Real Time School-based Syndromic Surveillance Program – Lea Trujillo
Death Certificate Surveillance in New Hampshire – Christopher Taylor
North Dakota Electronic Animal Health Surveillance System – Julie Goplin
Track 1: Analytical Methods/Data Acqu isition and Processing Joint Se ssion: Syndrome Definition and Classification
Syndromic Surveillance Case Definition Development Using Recursive Partitioning Techniques – Nicholas Soulakis
Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data – Samantha DeLeyon
The Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes – Hwa-Gan Chang
Detection of Pneumonia Using Keywords in the Radiology Text Reports: Experience from BioSense – Armen Asatryan
Exception Reporting Systems for Flu Like Syndromes in Scotland – James McMenamin
Track 2: Analytical Methods: Agents, Visualization, and Decision Support
A Nationwide Geo-Referenced Synthesized Agent Database for Infectious Disease Models – William Wheaton
Distributed Multi-agent Architecture for Decision Support in Public Health Networks – Zahrui Mnatsakanyan
Bayesian Network Data Fusion Visualization – Charles Hodanics
Delineating Spatial Clusters with Artificial Neural Networks – Luiz Duczmal
Structured Information Sharing in Disease Surveillance Systems – Wayne Loschen
Track 3: Public Health Practice: System Design and Alert Analyses
A Model-Based Architecture for Supporting Situational Diagnosis in Real-Time Surveillance Systems – Herve Chaudet
Criteria for Prioritizing Statistical Anomalies Identified in BioSense – Colleen Martin
Could Syndromic Surveillance Data Be Used Effectively with Other Data Sources? A Transposable Local View – Sarah Winn
Can Telehealth Ontario Respiratory Call Volume be Used as a Proxy for Emergency Department Respiratory Visit Surveillance by Public Health ? – Adam van Dijk
Utilizing a Patient Tracking System for Public Health Emergencies – Laura Williams
Track 4 : Evaluation and Performance: Evaluation of Detection Algorithms
Empirical Comparison of Spatial Scan Statistics for Outbreak Detection – Daniel Neill
Evaluation of Spatial Estimation Methods for Cluster Detection – Jian Xing
A Pilot Study of Aberration Detection Algorithms with Simulated Data –
Hwa-Gan Chang
Performance of an Adaptive Anomaly Detection Algorithm for a Low Incidence Syndrome Before and After a Major Outbreak – Sylvia Halasz
Characterization of Patients with Clinical Features Consistent with Inhalational Anthrax in an ED – Nicholas Soulakis
Track 5: Novel Applications: Novel use of On-line Data Sources
Use of Google Earth to Facilitate GIS-based Decision Support Systems for Arthropod-borne Diseases – Lars Eisen
Automatic Foot-and-Mouth Disease (FMD) News Monitoring and Classification – Cathy Larson
Detecting Web Rumours with a Multilingual Ontology Supported Text Classification System – Nigel Collier
Evaluation of Online Media Reports for Global Infectious Disease Intelligence – John Brownstein
Argus: A Global Detection and Tracking System for Biological Events – James Wilson
Plenary Session: MIDAS, an NIH program to model infectious diseases
The MIDAS (Models of Infectious Disease Agent Study) program is an international consortium of scientists who develop models of the emergence and spread of infectious diseases; MIDAS research has informed public policy in the United States and internationally. As part of its ongoing work, MIDAS has generated data and tools that are available to the research community. This plenary session will introduce these resources and focus on MIDAS research relevant to disease surveillance.
Plenary Session: Remarks from Dr. Leslie Lenert, Director of the National Center for Public Health Informatics, CDC