Displaying results 1 - 7 of 7
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Benchmark Data Generation from Discrete Event Contact Network Models
Content Type: Abstract
Historical data are essential for development of detection algorithms. Spatio-temporal data, however, are difficult to come by due to variety of issues concerning patient confidentiality. Several approaches have been used to … read more -
Benchmarking Temporal Surveillance Techniques
Content Type: Abstract
Benchmarking of temporal surveillance techniques is a critical step in the development of an effective syndromic surveillance system. Unfortunately, holding “bakeoffs” to blindly compare approaches is a difficult and often fruitless enterprise, in… 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 -
Surveillance in the Cloud: A New Platform for Disease Search and Situational Awareness
Content Type: Abstract
Major challenges in syndromic surveillance today include lack of standardization in syndrome definitions and limited ability to detect outbreaks of specific and rare diseases. To generate situational awareness surveillance results… read more -
Temporal-Spatial Surveillance Techniques from Non-Homogenous Random Geometric Graphs
Content Type: Abstract
Graph theory concepts are well established in epidemiology, with particular success as a description of agent-based modeling. An agent-based viewpoint leads to conclusions about the spatial distribution of links: infection is more likely among… read more -
Analysis of Dengue in Department of Veterans Affairs (VA) Patients in Puerto Rico
Content Type: Abstract
The Veterans Health Administration (VHA) is the VA organization responsible for providing healthcare to over 5 million patients annually at 153 medical centers and over 900 outpatient clinics across the United States and U.S. territories. The VA… read more -
Multi-Syndrome Analysis of Time Series: A New Concept for Outbreak Investigation
Content Type: Abstract
Temporal anomaly detection is a key component of real time surveillance. Today, despite the abundance of temporal information on multiple syndromes, multivariate investigation of temporal anomalies remains under-explored. Traditionally, an outbreak… read more