Displaying results 121 - 128 of 1300
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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 -
A Generalization of the AMOC Curve
Content Type: Abstract
The Activity Monitoring Operating Characteristic (AMOC) curve is a useful and popular method for assessing the performance of algorithms that detect outbreaks of disease [1]. As it is typically applied in biosurveillance, the AMOC curve plots the… read more -
A Model and Archetype Based Interoperability Framework for Near Real-Time Surveillance Systems
Content Type: Abstract
The pilot near real time surveillance system ASTER, which currently monitors the French Forces in Djibouti and French Guiana [1], has been especially designed for inter-allied interoperability. This paper briefly describes the rationale of this… read more -
A Model-Based Architecture for Supporting Situational Diagnosis in Real-Time Surveillance Systems
Content Type: Abstract
Real-time syndromic surveillance systems require adapted dataflow organization and tools for supporting data processing in real time, from their acquisition until the counter-measure building process. This work explores the capabilities of a… read more -
A Multijurisdictional Investigation of Resistant Highly Infectious TB in Asian Immigrants
Content Type: Abstract
Learn about a highly infectious resistant tuberculosis outbreak among recent immigrants & the multijurisdictional public health response. Recognize basics about tuberculosis & anticipate difficulties with immigrants and resistant strains.… read more -
A Multivariate Bayesian Scan Statistic
Content Type: Abstract
This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more