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Syndromic surveillance systems have historically focused on aggregating data into syndromes for analysis and visualization. These syndromes provide users a way to quickly filter large amounts of data into a manageable number of streams to analyze. Additionally, ESSENCE users have the ability to... Read more

Content type: Abstract

Nontyphoidal Salmonella, consisting of >2,500 distinct serotypes, is the leading bacterial agent of foodborne illness in the U.S., causing an estimated 1 million infections per year. In NYC, interviews of all case-patients (N≈1,100 annually) are attempted to support outbreak investigation and... Read more

Content type: Abstract

ISDS, in cooperation with the Community for Population and Public Health Measures (COPHM), is pleased to announce an upcoming webinar to be held on June 13th. The purpose of this webinar is to inform ISDS members, EHR technology developers, and public health informaticists about the Syndromic... Read more

Content type: Webinar

As syndromic surveillance reporting became an optional activity under Meaningful Use Stage 3 and incentive funds are slated to end completely in 2021, Washington State sought to protect syndromic reporting from emergency departments. As of December 2016, Washington State emergency departments... Read more

Content type: Abstract

Syndromic surveillance data has predominantly been used for surveillance of infectious disease and for broad symptom types that could be associated with bioterrorism. There has been a growing interest to expand the uses of syndromic data beyond infectious disease. Because many of these... Read more

Content type: Abstract

Influenza surveillance provides public health officials and healthcare providers with data on the onset, duration, geographic location, and level of influenza activity in order to guide the local use of interventions. The Influenza Sentinel Provider Surveillance Network tracks influenza-like... Read more

Content type: Abstract

This paper describes a novel approach to the statistical classification of free-text chief complaints for the purpose of syndromic surveillance.

Content type: Abstract

The success of syndromic surveillance depends on the ability of the surveillance community to quickly and accurately recognize anomalous data. Current methods of anomaly detection focus on sets of syndromic categories and rely on a priori knowledge to map chief complaints to these general... Read more

Content type: Abstract

We describe age- and syndrome-specific emergency department (ED) visit patterns for diarrhea and vomiting associated with periods of confirmed epidemic rotavirus and presumed epidemic norovirus in New York City (NYC).

Content type: Abstract

Influenza is associated with significant morbidity and mortality nationally each year and VA's large elderly population is at particular risk. VA Office of Public Health (OPH) has monitored influenza and influenza-like-illness (ILI) activity using the VA's biosurveillance system since 2009 (1,2... Read more

Content type: Abstract

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This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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