Asyndromic Cluster Detection Consultancy

Materials associated with the Analytic Solutions for Real-Time Surveillance: Asyndromic Cluster Detection consultancy held June 9-10, 2015 at the University of North Carolina, Chapel Hill.

Problem Summary

A syndrome cannot be created to identify every possible cluster of potential public health significance. A method is needed to identify clusters without pre-classification into syndromes. This could include clusters of signs or symptoms, clusters of place names (e.g. mentioning a specific restaurant), clusters of events (e.g. mentioning a specific fair, concert, etc.).

Attachments

• Use Case problem statement
• Meeting agenda
• List of consultancy attendees
• A brief summary of solution requirements to identify clusters in emergency department syndromic surveillance data worthy of follow-up and public health utility without the step of classifying that data into pre-defined syndromes
• Final report