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

Plant and Animal Surveillance

How Representative Are Veterinary Laboratory Data for Livestock Disease Surveillance
Kathy Zurbrigg, Ontario Ministry of Agriculture
A Plant Epidemic is Key to HPAI Outbreak in Vietnam and China
Carla Thomas, Georgetown University
Spatial Analysis of Hidden Scrapie in Great Britain: Capture-Recapture Estimation by Means of Empirical Bayesian Smoothing
Victor J. del Rio Vilas, Department for Development, Food and Rural Affairs, London
Development of an Animal Health Monitoring System Based on Slaughter Condemnation Data
Wolf Weber - USDA

School/Absenteeism Surveillance

Using Automated School Absenteeism Data to Monitor Influenza: A Local Health Department’s Experiences
Atar Baer, Public Health-Seattle and King County
A Natural Experiment to Evaluate the Effect of School Closure on Subsequent Absenteeism During a Seasonal Influenza Epidemic
Carla Rodriguez, Public Health- Seattle and King County
Use of a School Nurse Syndromic Surveillance System During the Novel Influenza A (H1N1) Outbreak in New York City
Elisha Wilson, NYC Dept. of Health and Mental Hygiene
The Effect of School Closure on Rates of Influenza-Like Illness in New York City (NYC) Schools During the Spring 2009 Novel H1N1 Outbreak
Joseph Egger, NYC Dept. of Health and Mental Hygiene
Surveillance of US Schools with Reported Cases of Novel Influenza A/H1N1
Anne Gatewood Hoen, Harvard-MIT Division of Health Sciences and Technology

Refining Case Detection and Characterization Using EMR Data

Patterns of Medical Care for Patients with Influenza-Like Illness
John Hsu, Kaiser Permanente
Automated Surveillance for Herpes Zoster and Postherpetic Neuralgia, Using Structured Electronic Medical Record Data
Michael Klompas, Harvard Medical School
Timely Detection of Localized Excess Influenza Activity Across Multiple Data Streams
Sharon Greene, Harvard Medical School
Creating a Vocabulary from Consensus Syndrome Definitions
Wendy Chapman, University of Pittsburgh

Outbreak Detection, Characterization and Prediction

Detection of Disjunctive Anomalous Patterns in Multidimensional Data
Maheshkumar Sabhnani, Carnegie Mellon University
Prediction of Cholera Epidemics in Africa
Anna Buczak, Johns Hopkins University
Predictive Infectious Disease Surveillance: A Multidisciplinary Approach for Early Detection and Response to Disease Outbreaks
Clara Witt, US Army
Kalman Filter Based Anomaly Detection Technique for Biosurveillance Applications
David Crary, Applied Research Associates
Statistical Methods for the Classification of Partially Observed Outbreaks
Cosmin Safta, Sandia National Laboratories

Synthetic Data and Evaluation

In Silico Surveillance: Realistic Surveillance Data Streams Created with a Detailed Agent-Based Model
Bryan Lewis, Virginia Tech
Validation of Algorithms for the Detection of Acute Diarrheal Disease Outbreaks, Alerta JESAL System 2008-2009
Delphis Vera, US Naval Medical Research Center
Deterministic and Random Effects in the Construction of Synthetic Electronic Medical Records
Linda Moniz, Johns Hopkins University
Comparison of Forecasting Methods for Influena-Like Illness Surveillance
Marlena Plagianos, NYC Dept. of Health and Mental Hygiene

Surveillance for Novel H1N1 Response

H1N1 in New York City: Where Did Patients Seek Treatment? In Emergency Departments or Ambulatory Clinics?
Marlena Plagianos, NYC Dept. of Health and Mental Hygiene
Experience Using Syndromic Surveillance Systems During the Novel H1N1 Influenza Outbreak, Connecticut, 2009
Katherine Purviance, CT Dept. of Health
Syndromic Surveillance of NYC Emergency Departments by the NYCDOHMH during the Novel H1N1 Influenza Outbreak, 2009
Marc Paladini, NYC Department of Health and Mental Hygiene
Using Biosurveillance Data to Monitor the 2009 Novel Influenza A H1N1 Outbreak
Atar Baer, Public Health Seattle and King County