DIMACS Working Group on Adverse Event/Disease Reporting, Surveillance, and Analysis I
DIMACS Subgroup on Adverse Event/Disease Reporting, Surveillance, and Analysis
Thursday, February 19, 2004 8:15 - 9:00 Breakfast and Registration 9:00 - 9:15 Welcome and Introductory Comments Fred Roberts, DIMACS Director 9:15 - 10:00 Overview of Syndromic Surveillance Henry Rolka, CDC (This session will be primarily to provide orientation and context to the problem for those in the audience who may not have been directly involved in applications in this area. In parallel during this session the Multivariate Surveillance Panelists will convene and prepare their session. Panel membership is open. The panel will moderated by David Siegrist and present perspectives on multivariate surveillance from practitioners.) 10:00 - 10:45 Panel Presentation I moderated by David Siegrist Multiple Data Sources in the Harvard/Pilgrim Biosurveillance System Ken Kleiman, Harvard University Monitoring of Multivariate Data in ESSENCE Biosurveillance Systems Howard Burkom, APL Overview of WSARE, Fast Spatial Scan and PANDA Andrew Moore, CMU Site Surveillance Using Differential Detection Murray Campbell, IBM Simulation of outbreak signals for multiple data source detectors David Buckeridge, Stanford University Power Evaluation of the Spatial Scan Statistic for Multiple Data Stream Luiz Duczmal, Harvard Medical School and Universidade Federal de Minas Gerais, Brazil 10:45 - 11:15 Break 11:15 - 12:00 Panel Presentation II moderated by David Siegrist 12:00 - 2:00 Lunch and Breakout Sessions Breakout Sessions Break into several (~5) groups. Each group has a moderator. Each group is to discuss a particular question/task: - What are the advantages and disadvantages of combining univariate analyses as against a single multivariate analysis? - How can one deal with varying quality issues in multivariate surveillance data streams? - How best can national and local surveillance data systems be used for multiple purposes - both broad-based regional surveillance and local case management? - Describe a set of ordered management procedures for responding to a detected data aberration in a non-traditional early indication data source (egs. OTC, absenteeism data). Include decision point threads for validation up to alerting multiple agency officials. Please forward suggestions for other breakout topics to either Henry Rolka (hrr2@crc.gov) or David Madigan (madigan@stat.rutgers.edu). Session II: Alternative Perspectives Speakers, please provide titles as soon as you can. 2:00 - 2:40 Borrowing methodology from industry: Methods of Statistical Process Control for Public Health Surveillance Karen Kafadar, University of Colorado 2:40 - 3:20 Multiplicity and sequential testing Chris Jennison, University of Bath, England 3:20 - 3:40 Break 3:40 - 4:20 Eamonn Keogh 4:20 - 5:00 Visualization Frameworks to Detection the Presence of Unusual Structure in High-Dimensional Data Jeff Solka, George Mason University 5:00 Wine and Cheese Friday, February 20, 2004 Session III: Whither? 8:45 - 9:00 Perspectives on surveillance (TBA) 9:00 - 10:00 Breakout groups reconvene and prepare summaries 10:00 - 11:00 Breakout group reports and general discussion 11:00 - 11:30 Break 11:30 - 12:30 Summary discussion and recommendations