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Activity Number: 152
Type: Invited
Date/Time: Monday, August 4, 2014 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract #310650 View Presentation
Title: Bridging Statisticians with Public Health Practice Professionals in Disease Surveillance, II
Author(s): Howard Burkom*+ and Julia Gunn*+ and Wilbert van Panhuis*+ and Kevin Konty*+
Companies: Johns Hopkins Applied Physics Laboratory and Boston Public Health Commission and University of Pittsburgh and New York City Department of Health and Mental Hygiene
Keywords: biosurveillance ; disease surveillance ; public health
Abstract:

Thirteen years into the 20th Century, agreement is lacking among the disease surveillance community on preferred technical methods for public health data monitoring. In its 9th year, the International Society of Disease Surveillance is well positioned to address the standardization problem; membership represents stakeholders worldwide, and best practices in surveillance are fundamental to its mission. Its Technical Conventions Committee was formed to specify problems routinely facing public health professionals and to facilitate sharing of data and solution methods. Use case needs include data quality checking, anomaly detection, disaster and special event surveillance, and follow-up investigation. Speakers will discuss problems generated by monitoring agencies and also datasets for use by the research community. Featured will be the Univ. Pittsburgh School of Public Health's Project Tycho, created "to help launch a movement for open access to.spatially and temporally granular public health data from around the world." Dataset generation methods including simulation and perturbation methods will also be discussed along with use case problem challenges.


Authors who are presenting talks have a * after their name.

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