 
DIMACS Tutorial on Statistical and Other Analytic Health Surveillance Methods
 Dates of Tutorial: June 17 - 20, 2003
      DIMACS Center, CoRE Building, Rutgers University
 
- Organizers:
  
- David Madigan, Rutgers University, madigan@stat.rutgers.edu
  - Henry Rolka, CDC, hrr2@cdc.gov
  - Martin Kulldorff, University of Connecticut, martink@neuron.uchc.edu
Presented under the auspices of the Special Focus on Computational and Mathematical Epidemiology.
Workshop Program:
Tuesday, June 17, 2003
 
 8:00 -  8:40  Breakfast and Registration 
 
 8:40 -  8:45  Welcome and Opening Remarks	
               David Madigan, Rutgers University
 8:45 -  9:00  Introductory Overview Lecture 
               David Madigan and Henry Rolka
Applications & Tools I
 9:00 -  9:45  Early Aberration Reporting System - EARS Empowering 
               Local Health Departments
               Lori Hutwagner, CDC
 9:45 - 10:30  Syndromic Surveillance in New York City
               Richard Heffernan, NYC DOH
10:30 - 10:45  Break
10:45 - 11:30  Statistical Issues and Challenges Associated with Rapid
               Detection of Bio-Terrorist Attacks 
               Galit Shmueli, University of Maryland 
11:30 - 12:15  Surveillance and Pattern Recognition Using TerraSeer Software
               Dunrie Greiling, Terraseer
 
12:15 -  1:15  Lunch
Applications & Tools II
 1:15 -  2:30  A Space-Time Permutation Scan Statistic for 
               Spatial Disease Surveillance
               Martin Kulldorff, University of Connecticut
 2:30 -  3:00  Break
 3:00 -  4:15  Statistical Issues in Online Surveillance  
               Marianne Frisen
Wednesday, June 18, 2003(includes half-day mini-tutorial on text data) 
 8:30 -  9:00  Breakfast and Registration 
 
 9:00 - 10:15  Text Mining for Surveillance I
               David Lewis, Ornarose Inc. and David D. Lewis Consulting
10:15 - 10:45  Break
			
10:45 - 12:00  Text Mining for Surveillance II: Extracting Epidemiological 
               Information from Free Text 			
               Lynette Hirschman, MITRE
12:00 -  1:00  Lunch
 1:00 -  2:00  Text Normalization for Biosurveillance
               Alan Shapiro, NYU
 2:00 -  3:15  Disease Clusters 
               Daniel Wartenberg, Rutgers/UMDNJ
 3:15 -  3:45  Break
 3:45 -  5:00  Detecting Multi-Item Associations and Temporal Trends Using
               WebVDNE/MGPS Application 
               Richard Ferris, Lincoln Technologies
 5:00 -  6:00  Wine and Cheese Reception, 4th Floor Lounge
Thursday, June 19, 2003
 
 8:30 -  9:00  Breakfast and Registration 
 
 9:00 - 10:00  Bayesian Biosurveillance Using Causal Networks 
               Gregory Cooper, University of Pittsburgh
10:00 - 11:00  What's Strange About Recent Events (WSARE) 
               Weng-Keen Wong, Carnegie Mellon University 
11:00 - 11:15  Break
11:15 - 12:30  Scan Statistics for Disease Surveillance
               Martin Kulldorff, University of Connecticut
12:30 -  1:30  Lunch
 1:30 -  2:45  Sampling 
               Steven Thompson, Pennsylvania State University
 2:45 -  3:15  Break
 3:15 -  4:30  Spatio-Temporal Modeling for Biosurveillance
               David Stoffer, University of Pittsburgh
 
Friday, June 20, 2003
 8:30 -  9:00  Breakfast and Registration 
 9:00 - 10:15  Postmarketing Drug Adverse Event Surveillance and 
               the Innocent Bystander Effect 
               William DuMouchel, AT&T
10:15 - 10:45  Break
10:45 - 12:00  Sequential change-point analysis for the early detection
               of epidemics
               Michael Baron, U. Texas
12:00 -  1:00  Lunch
 1:00 -  2:15  Bayesian Spatial Health Surveillance 
               Allan Clark and Andrew Lawson, University of South Carolina
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Document last modified on June 12, 2003.