Displaying results 433 - 440 of 1294
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Real-Time Surveillance: Cutting-Edge Technology in NH
Content Type: Abstract
The Automated Hospital Emergency Department Data (AHEDD) System was designed to detect early indicators of bioterrorism and naturally occurring health risks. Initial development includes real-time data collection from four pilot hospitals, an… read more -
Reducing the Delay in Detecting an Influenza Epidemic with More Sensitive Case Detection Algorithms
Content Type: Abstract
Measures aimed at controlling epidemics of infectious diseases critically benefit from early outbreak recognition [1]. SSS seek early detection by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously… read more -
Relationship between Clinical Screening Tools, Syndromic Surveillance, and Influenza-Positive Patients
Content Type: Abstract
In 2003, with the advent of SARS, the Ontario Ministry of Health and Long-Term Care (MOHLTC) released a document mandating the use of a clinical screening tool to detect patients at high risk for having a febrile respiratory illness (FRI), defined… read more -
Relationship between Emergency Room (ER) Syndromic Surveillance Data and Influenza-Like Illness (ILI) Surveillance in Houston, Texas
Content Type: Abstract
Disease surveillance provides essential information for control and response planning1. Emergency Room (ER) syndromic surveillance data can help to identify changes in disease incidence and affected group thereby providing valuable additional time… read more -
Representativeness of Emergency Department Data Reported to the BioSense System
Content Type: Abstract
In 2007, the CDC BioSense System received data from 450 non-federal hospitals. Hospitals provide data to Biosense based on their capability and willingness to supply electronic data. As of July 2008, Biosense is receiving data from 550 hospitals.… read more -
Resolving the 'Boy Who Cried Wolf' Syndrome
Content Type: Abstract
To date, most syndromic surveillance systems rely heavily on complicated statistical algorithms to identify aberrations. The assumption is that when the statistics identify something unusual, follow-up should occur. However, with multiple strata… read more -
Respiratory Syndrome in the Netherlands in Relation to Pathogen Activity
Content Type: Abstract
Syndromic surveillance may be suited for detection of emerging respiratory disease elevations that could pass undiagnosed. The syndromes under surveillance should then retrospectively reflect known respiratory pathogen activity. To validate this for… read more -
Responding to Syndromic Surveillance Alerts: An Adaptable Protocol for Georgia Health Districts
Content Type: Abstract
Although many syndromic surveillance (SS) systems have been developed and implemented, few have included response protocols to guide local health jurisdictions when alerts occur [1,2]. SS was first implemented in GA during the 2004 G-8 Summit. Six… read more