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Idaikkadar Nimi

The use of syndromic surveillance systems has evolved over the last decade, and increasingly includes both infectious and non- infectious topic areas. Public health agencies at the national, state, and local levels often need to rapidly develop new syndromic categories, or improve upon existing categories, to enhance their public health surveillance efforts. Documenting this development process can help support increased understanding and user acceptance of syndromic surveillance. This presentation will highlight the visualization process being used by CDC’s National Syndromic Surveillance Program (NSSP) program to develop and refine definitions for syndromes of interest to public health programs.

Objective: To describe the use of uni-grams, bi-grams, and tri-grams relationships in the development of syndromic categories.

Submitted by elamb on

The query was developed by NSSP and CDC Division of Violence Prevention. It was developed to assist rape prevention coordinators and project officers in doing sexual violence and intimate partner violence surveillance using syndromic surveillance. An ESSENCE CCDD category has been created and its called Intimate Partner Violence v1.

Submitted by Anonymous on

The query was updated and developed in collaboration with NSSP & CDC Division of Violence Prevention for a version 2 of the Sexual Violence syndrome. The syndrome is intended for rape prevention coordinators for their surveillance work at local and state health departments. The query has been added to the CCDD category and is named Sexual Violence v2.

 

 

 

 

Submitted by Anonymous on

Recent efforts to share syndromic surveillance data have focused on developing national systems, namely BioSense 2.01 . The problems with creating and implementing national systems, such as legal issues, difficulties in standardizing syndrome definitions, data quality, and different objectives, are well documented. In contrast, several local health departments have successfully shared data and analyses with each other, primarily during emergency events. The benefits of locally-driven data sharing include: (1) faster dissemination of data and analyses that have been created by those who understand the nuances of their own data, (2) easier process of standardizing syndrome definitions, (3) quickly designing appropriate analyses for the event, (4) smaller group of partners for consensus-building, and (5) ultimately improved timeliness in detection of public health events. The strategies used to share data and analyses between local and state health departments during planned and unplanned events may be informative to national systems.

Objective

To outline successful strategies for regional data-sharing and discuss how these strategies can be applied to other regions.

Submitted by teresa.hamby@d… on

Syndromic surveillance has demonstrated utility for situational awareness for non-infectious conditions, including tracking and monitoring gun-related violence and homicides. While New York State reports an overall decrease in gun-related crimes, in NYC identifying smaller scale aberrations of gunshot-related violence can prompt more efficient response by city groups. We examined the temporal and borough-level characteristics of gunshot-related emergency department (ED) visits in NYC.

Objective

To describe epidemiological characteristics of gunshot-related injuries in New York City (NYC) using syndromic surveillance data

Submitted by teresa.hamby@d… on
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