Displaying results 329 - 336 of 4232
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Earliest Event Detection: A Unique Approach Combining Syndromic Surveillance with Data Mining
Content Type: Abstract
Syndromic surveillance is focused upon organizing data into categories to detect medium to large scale clusters of illness. Detection often requires that a critical threshold be surpassed. Data mining searches through data to identify records… read more -
Early Detection and Integrated Response to Seasonal Influenza
Content Type: Abstract
A syndromic surveillance system has been implemented at Kingston, Frontenac and Lennox & Addington Public Health in Kingston Ontario as part of a pilot project funded by the Ontario Ministry of Health and Long-Term Care – Public Health Division… read more -
Early Detection of Influenza-like Illness: Developing a Multi-Variate Approach
Content Type: Abstract
The 2003/04 influenza season included a more pathogenetic organism and had an earlier onset. There were noticeably more deaths in otherwise healthy children than in previous seasons. Following this season, States were asked by the Centers for… read more -
Early Detection of Tuberculosis Outbreaks among the San Francisco Homeless
Content Type: Abstract
San Francisco has the highest rate of TB in the US. Although in recent years the incidence of TB has been declining in the San Francisco general population, it has remained relatively constant in the homeless population. Spatial… read more -
Early Identification of Salmonella Cases Using Syndromic Surveillance
Content Type: Abstract
On June 7, 2008, federal food protection and public health agencies alerted consumers of a nationwide outbreak of Salmonella Saintpaul infections. As of June 30, 2008, 851 persons infected with Salmonella Saintpaul with the same… read more -
Effect of Work-related Mobility in the Simulation of Aerosol Anthrax Releases with BARD
Content Type: Abstract
An important problem in biosurveillance is the early detection and characterization of outdoor aerosol releases of B. anthracis. The Bayesian Aerosol Release Detector (BARD) is a system for simulating, detecting and characterizing such releases… read more -
Effective Use of Laboratory Data for Monitoring Population Health
Content Type: Abstract
Effective public health response to emerging infectious diseases, natural disasters, and bioterrorism requires access to real-time, accurate information on disease patterns and healthcare utilization. The ESSENCE surveillance… read more -
Efficient Large-Scale Network-Based Simulation of Disease Outbreaks
Content Type: Abstract
The effectiveness of public health interventions during a disease outbreak depends on rapid, accurate characterization of the initial outbreak and spread of the pathogen. Computer-based simulation using mathematical models… read more