2008 International Society for Disease Surveillance Seventh Annual Conference PowerPoint Presentations


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


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