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Held on March 14, 2019.

During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided updates on the NSSP ESSENCE platform and answered the community's questions on ESSENCE functions and features.

Content type: Webinar

Definitions for BioSense 2.0 common syndromes.

Content type: References

The purpose of this document is to correlate BioSense activities (inclusive of CDC, BGG, User Community) with community defined functional priorities.

Content type: Report

BioSense 2.0, a redesigned national syndromic surveillance system, provides users with timely regional and national data classified into disease syndromes, with views of health outcomes and trends for use in situational awareness. As of July 2014, there are 60 jurisdictions nationwide feeding... Read more

Content type: Abstract

Syndromic surveillance is the surveillance of healthrelated data that precedes diagnosis to detect a disease outbreak or other health related event that warrants a public health response. Though syndromic surveillance is typically utilized to detect infectious disease outbreaks, its utility to... Read more

Content type: Abstract

The NSSP Support Team will present an overview on the plans for a future Master Facility Table user interface (UI) designed to replace the current excel-spreadsheet update process. The presentation will feature mock-ups of the UI screens, descriptions of the proposed functionality, and allow... Read more

Content type: Webinar

SyS systems have great potential to prevent morbidity, injury, and mortality by monitoring population health and providing realtime data to inform public health department decisions. Electronic health information technology and federal, state and local incentives and investments have helped to... Read more

Content type: Abstract

Syndromic surveillance is the monitoring of symptom combinations (i.e., syndromes) or other indicators within a population to inform public health actions. The Tennessee Department of Health (TDH) collects emergency department (ED) data from more than 70 hospitals across Tennessee to support... Read more

Content type: Abstract

Varied approaches have been used by syndromic surveillance systems for aberration detection. However, the performance of these methods has been evaluated only across a small range of epidemic characteristics.

 

Objective

We conducted a large simulation study to evaluate the... Read more

Content type: Abstract

Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from over 360 hospitals and laboratory results from 24... Read more

Content type: Abstract

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Email: syndromic@cste.org

 

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