Track 1: Surveillance Innovations:
- Informatics Innovations–
- The BioSense Influenza Module – Craig Hales
- A Model and Archetype Based Interoperability Framework for Near Real-time Surveillance Systems – Hervé Chaudet
- Detection of Shigella Outbreaks in Argentina Using WHONET and SatScan – John Stelling
Evaluation of Detection Approaches –
Estimation and Validation of an Outbreak Simulator – Min ZhangIn Siloco Surveillance: Using Detailed Computer Simulations to Develop and Evaluate Outbreak Detection – Bryan Lewis
Modeling Disease Surveillance and Assessing its Effectiveness for Detection of Acute Respiratory Outbreaks in Resource-limited Settings – Liane Ramac-ThomasMixture Likelihood Ratio Scan Statistic for Disease Outbreak Detection – Jarad Niemi
Natural Language Processing Innovations –
- Identifying Respiratory-Related Clinical Conditions from ED Reports with Topaz – Wendy Chapman
- Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations – Adi Gundlapalli
- Identifying Contextual Features to Improve the Performance of an Influenza-like Illness Text Classifier – Brett South
- Free-Text Processing to Enhance Detection of Acute Respiratory Infections – Sylvain DeLisle
Epidemiological Innovations –
- State Surveillance Improves a Clinical Prediction Model for Pertussis – Andrew Fine
- Contact Tracing in Asymptomatic Diseases under Elimination –Doracelly Hincapié-Palacio
- Age-Specific Correlations between Influenza Laboratory Data and Influenza-like Syndrome Definitions in Boston and New York City – Justin Pendarvis
- Extending Comparisons Beyond Time and Space: Looking for Similarities Between Diseases –Victor J. Del Rio Vilas
Spatial Method Innovations –
- Interactive Detection of Spatial Clusters – Frank Hardisty
- Application of Non-Linear Data Analysis Methods to Locating Disease Clusters – Linda Moniz
- A New Space-Time Scan Statistic for Timely Outbreak Detection Taking Overdispersion into Account – – Toshiro Tango
- Geographically Meaningful Cluster Scanning through Weak Link Correction – Luiz Duczmal
Track 2: Improving Public Health Investigation and Response :
- Reportable and Emerging Infectious Disease Surveillance –
- Innovative Uses for ESSENCE to Improve Standard Communicable Disease Reporting Practices in Miami-Dade County– Erin O’Connell
- The Utility of Space-Time Surveillance for Tuberculosis – Aman Verma
- Integrated Syndromic and Virologic Surveillance Systems from Taiwan’s Experiences in Facing Global Challenges of Emerging Infectious Diseases – Chwan-Chuen King
Broadening the Scope beyond Infectious Disease—New Directions and Data Sets –
- Case Studies in the Use of the National Poison Data System (NPDS) – Colleen Martin
- Identifying Clusters of Falls During the 2007-08 Winter Season in the BioSenseSystem – Achintya Dey
- Automated Monitoring of Asthma Using the BioSense System – Sule Mohammed
- Syndromic Surveillance with Death Data: A Pilot Study in the Netherlands – Liselotte van Asten
Environmental Emergencies and Health Data Surveillance –
- Syndromic Surveillance and Climate Change, a Possible Use – Loic Josseran
- Real Time Syndromic Surveillance Response to UK Flooding Incident 2007 – Alex Elliot
- Use of Syndromic Surveillance of Emergency Department Chief Complaints for Enhanced Situational Awareness during Wildfires, Florida, 2008 – Aaron Kite-Powell
International Health, New Data Sets –
- Advantages and Limitations of Real Time Surveillance for the French Armed Forces during Operations – Jean-Baptiste Meynard
- Following the Signal: Use of Social Networking Systems, Hot Lines and other Techniques for Anthrax and Rash Illness Risk Communication in Connecticut – Alan Siniscalchi
- Assessing the Accuracy of Physician Claims For Use in Automated Syndromic Surveillance – Genevieve Cadieux
Track 3: Applications of Methodologies to New Domains :
- Policy and National Surveillance Initiatives –
- Biosurveillance: A Definition, Scope and Description of Current Capability for a National Strategy – Aaron Fleischauer
- Syndromic Surveillance Reporting via CDC’s Public Health Information Grid – Ross Lazarus
- 21st Century Health Care Demands: New Models for Population Health Data Aggregation and Sharing – A Federated Approach – Jill Cooper
- Review of the ISDS DiSTRIBuTE Project 2007/2008 Influenza Season Proof-of-Concept Phase – Don Olson
Pneumonia and Influenza Surveillance –
- What Happens in Vegas, Doesn’t Stay in Vegas: Traveling Waves of Pneumonia and Influenza in the US Elderly Population, 1991-2004 – – Julia Wenger
- Does Climate Predict the Timing of Peak Influenza Activity in the United States? – Katia Charland
- Indications and Warning of Pandemic Influenza Compared to Seasonal Influenza – Aimee Reilly
Novel Data Sources –
- Syndromic Surveillance of Gastroenteritis using Medication Sales in France – Camille Pelat
- Clostridium difficile Surveillance Using Laboratory Data from BioSense Hospitals – Stephen Benoit
- Canine Tick Diagnoses are a Sentinel for Tick-borne Diseases in People –Larry Glickman
- Surveillance of Birth Weight, Gestation and Infant Mortality – – Kevin Konty
Data Processing –
- Bayesian Hierarchical Models for the Evaluation and Design of Surveillance Systems: an Application to Scrapie Surveillance in Great Britain –Alberto Vidal-Diez
- An Empirical Study of the Effect of Sentinel Sample Size in Syndromic Surveillance Using a Space-time Permutation Method – Richard Brand
- Evaluation of Alerting Sparse-Data Streams of Population Healthcare-Seeking Data – Howard Burkom
- Expanding a Gazetteer-based Approach for Geo-Parsing Text from Media Reports on Global Disease Outbreaks – Mikaela Keller