Displaying results 1 - 6 of 6
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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… Spatio-temporal data, however, are difficult to come by due to variety of issues concerning patient … Spatio-temporal data, however, are difficult to come by due to variety of issues concerning patient confi- … we demonstrate how to generate benchmark data using a dis- crete event model simulating inter- and intra-contact … -
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… is a difficult and often fruitless enterprise, in part due to the parameters left to the final user for tuning. In … is a diffi- cult and often fruitless enterprise, in part due to the parameters left to the final user for tuning. In … cu- mulative false positive at day seven=0.02. RESULTS All three viewpoints are compared theoretically and then … -
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… the daily syndromic rates into the five dimensional space de- fined by the eigenvectors of the correlation matrix of … Thus, this framework can detect outlying signals that are due to mean shifts, scale shifts, or both. Part of the data … -
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… (CHB), the IDD provides inadequate power. Emergency De- partment (ED) chief complaints from 1/1/2000- 12/31/2004 … random graph, points are scattered across a region. All points within a specified radius are connected, and the … -
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… and the method is applied to real TB outbreaks, both the de- tection sensitivity and timeliness are improved and … -
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… in syndrome definitions and limited ability to de- tect outbreaks of specific and rare diseases. To … complaint data. We compute the power set over the set of all possible values contained in the data. For each subset, …