Displaying results 1 - 6 of 6
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A County Health Department's Analysis and Dissemination Algorithm of a Neruological Syndrome Aberration to Respective Community Stakeholders
Content Type: Abstract
The purpose of this study is to depict a local county health departmentÃs analysis and dissemination algorithm of surveillance system (SS) aberration (alarm) to designated stakeholders within the community. -
Could Syndromic Surveillance Data be Used Effectively with Other Data Sources? A Transposable Local View
Content Type: Abstract
This panel member consultation is an International Society of Disease Surveillance (ISDS) sponsored project. It involved expert personnel in their respective area to address specific, priority questions confronting researchers, developers, and… read more -
BioDefend Syndromic Surveillance System Influenza Activity Detection
Content Type: Abstract
Many syndromic surveillance systems have been developed and are operational, yet lack concise guidelines for investigating and conducting followups on daily alarms. Daily emergency department visits from six reporting hospitals… read more -
Comparison of Influenza-like Illness Syndrome Classification Between Two Syndromic Surveillance Systems
Content Type: Abstract
In 2004, the BioDefend (BD) syndromic surveillance (SS) system was implemented in Duval County hospitals (Jacksonville, FL). Daily emergency department chief complaints are manually classified and entered into the BD system by… read more -
Implementation of the BioDefend Syndromic Surveillance System: Electronic Format versus Web-Based Data Entry
Content Type: Abstract
Bioterrorism surveillance is an integral component of DCHD’s Comprehensive Emergency Management Plan. This study was a collaborative effort between Duval County Health Department, University of South Florida’s Center for Biological Defense (CBD),… read more -
Utilization of Syndromic Surveillance with Multiple Data Sources to Enhance Public Health Response
Content Type: Abstract
In the event of a large-scale public health crisis, successfully detecting and assessing health threats and monitoring population health status over a sustained period of time is likely to require integration of information from multiple… read more