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The 2003 Syndromic Surveillance Workshop was held from October 20-22, 2003 in New York City (NYC). During the workshop, staff from the NYC Department of Health and Mental Hygiene (DOHMH) described the workings of NYC’s syndromic surveillance system in detail, from data acquisition through analysis and investigation. Guest lecturers also presented the state-of-the-art in data standards, public health informatics, and national data sources. Over 100 public health practitioners from around the world contributed their insights and experiences to the workshop.
- Workshop Agenda (157K
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- Data Transfer and Transformation
- National Data Standards (300K) – Claire Broome, CDC
- Negotiating with Data Providers Outline (22K) and Examples (111K) – Melanie Besculides, NYCDOHMH
- Syndrome Coding (170K) – Farzad Mostashari, NYCDOHMH
- Data Transmission Presentation (480K) and Handout (12K) – Bill Lober, University of Washington
- NYCDOHMH Syndromic Overview (13K)
- NYCDOHMH Syndromic Statistical Methods (19K)
- NYC DOHMH ED Surveillance Data Requirements (21K)
- NCEDDDataElements (20K
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- EMS-Pharmacy-Absenteeism data (9K)
- Download Data and Programs
- Several SAS were distributed at the workshop. In order to make these files run, you must create a new folder with the path c:/syndromicworkshop/SAS and download the files into this folder.
- ReadinData.sas
- TransformData.sas
- NYCSyndromicMacros.sas
- IterativeSimulatedDailyAnalysis.sas
- ErrorCheckDedupeAppend.sas
- DataMart.sas
- CodeSyndromes.sas
- RunSatScanFromSAS.sas
- RunSatScanBatch.bat
- The data required to run these SAS files should be downloaded into a new folder with the following path c:/syndromicworkshop/SAS/data
- ED1_072503.txt
- ED2_072503.txt
- ED3_072503.txt
- ED4_072503.xls
- ili.sas
- Nycfakearchive.sas - requires username and password given to workshop participants
- Zipadults.sas
- ZipAdults.txt
- NYCZipCoord.txt
- Temporal and Temporal-Spatial Aberration Detection
- Purely Temporal Disease Outbreak Detection Methods – Farzad Mostashari, DOHMH
- Space – Time Scan Statistics for the Early Detection of Localized Outbreaks - Martin Kulldorff, Harvard Medical School
- A Prospective Space-Time Scan Statistic - Martin Kulldorff, Harvard Medical School
- Outbreak Signal Accuracy - Martin Kulldorff, Harvard Medical School
- Examples of Use at the New York City Health Department – Farzad Mostashari, DOHMH
- SaTScan Software (6K)
- National Data Sources and Signal Investigation
- Signal Investigation – Don Weiss, DOHMH
- BioSense – John Loonsk, CDC
- National Retail Data Monitoring System - Michael Wagner, University of Pittsburg
- Instructor Contact Information (8K)
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