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LHDs are operating in a changing data environment. As household telephone use declines, national surveys are not sampling large enough populations to report representative local health statistics. As a result, reliable indicators from surveys such as the Behavioral Risk Factors Surveillance... Read more

Content type: Abstract

The UNC Department of Emergency Medicine (UNC DEM) conducted an online survey to better understand the surveillance needs of Infection Control Practitioners (ICPs) in North Carolina and solicit feedback on the utility of the North Carolina Disease Event Tracking and Epidemiologic Collection Tool... Read more

Content type: Abstract

Typical approaches to monitoring ED data classify cases into pre-defined syndromes and then monitor syndrome counts for anomalies. However, syndromes cannot be created to identify every possible cluster of cases of relevance to public health. To address this limitation, NC DETECT’s approach... Read more

Content type: Abstract

NC DETECT receives data on at least a daily basis from five data sources: emergency departments (ED), the statewide poison center (CPC), the statewide EMS data collection system, a regional wildlife center and laboratories from the NC State College of Veterinary Medicine.  A Web portal is... Read more

Content type: Abstract

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... Read more

Content type: Report

A retrospective analysis of emergency department data in NC for drug and opioid overdoses has been explained previously [1]. We built on this initial work to develop new poisoning and surveillance reports to facilitate near real time surveillance by health department and hospital users. In North... Read more

Content type: Abstract

NC BEIPS is a system designed and developed by the NC Division of Public Health (DPH) for early detection of disease and bioterrorism outbreaks or events. It analyzes emergency department (ED) data on a daily basis from 33 (29%) EDs in North Carolina. With a new mandate requiring the submission... Read more

Content type: Abstract

Materials associated with the Analytic Solutions for Real-Time Biosurveillance: Negation Processing in Free Text Emergency Department Data for Public Health Surveillance consultancy held January 19-20, 2017 at the University of Utah, Salt Lake City.

Problem Summary

False positive... Read more

Content type: Use Case

Violence-related injuries are a major source of morbidity and mortality in NC. From 2005-2014, suicide and homicide ranked as NC's 11th and 16th causes of death, respectively. In 2014, there were 1,932 total violent deaths, of which 1,303 were due to suicide (67%), 536 due to homicide (28%), and... Read more

Content type: Abstract

While early event detection systems aim to detect disease outbreaks before traditional means, following up on the many alerts generated by these systems can be time-consuming and a drain on limited resources.

Authorized users at local, regional and state levels in North Carolina rely on... 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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