Displaying results 17 - 24 of 39
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Multi-Tier Role Based Access for Secure and Flexible Syndromic Surveillance
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… read more -
North Carolina Bioterrorism and Emerging Infection Prevention System
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… read more -
Post-Katrina Situational Awareness in North Carolina
Content Type: Abstract
The North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) is the early event detection system that serves public health users across North Carolina. One important data source for this system is North… read more -
Reverse Engineering of a Syndrome Definition for Influenza
Content Type: Abstract
We report here on the use of the North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS, www.ncbeips.org) to reverse engineer a syndrome definition of influenza for the purpose of influenza surveillance. -
Situational Awareness Using Web-based Annotation and Custom Reporting
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… read more -
Improving syndromic surveillance for non-power users: NC DETECT dashboards
Content Type: Abstract
NC DETECT provides near-real-time statewide surveillance capacity to local, regional and state level users across NC with twice daily data feeds from 117 (99%) emergency departments (EDs), hourly updates from the statewide poison center, and daily… read more -
Data Requests for Research: Best Practices based on the NC DETECT Experience
Content Type: Abstract
The North Carolina Division of Public Health (NC DPH) has been collecting emergency department data in collaboration with the Carolina Center for Health Informatics in the UNC Department of Emergency Medicine since 1999. As of August 2011, there are… read more -
Time of Arrival Analysis in NC DETECT to Find Clusters of Interest from Unclassified Patient Visit Records
Content Type: Abstract
TOA identifies clusters of patients arriving to a hospital ED within a short temporal interval. Past implementations have been restricted to records of patients with a specific type of complaint. The Florida Department of Health uses TOA at the… read more

