Displaying results 1585 - 1592 of 4304
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A Framework for Evaluating Temporal Alerting Algorithms Used in Syndromic Surveillance Systems
Content Type: Abstract
This abstract describes a suite of software utilities that have been developed for systematically evaluating the detection performance and robustness of univariate temporal alerting algorithms used in syndromic surveillance systems. -
Enterovirus D68 Outbreak SyS Discussion
Content Type: Webinar
ISDS Conference Call to discuss surveillance for severe respiratory illness / Enterovirus D68. This call will be an opportunity for syndromic surveillance practitioners to share their experiences conducting their contribution to surveillance 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 -
A National Scale Microsimulation of Disease Outbreaks
Content Type: Abstract
Our objective in this research is to take advantage of a supercomputer grid (TeraGrid) to develop a distributed memory national scale agent-based model (ABM) to study disease outbreaks at the micro level. This has data needs at both the national… read more