Displaying results 1 - 5 of 5
-
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 … dynamics of an infectious disease within and between con- tact networks in urban settings using real population … Spatio-temporal data, however, are difficult to come by due to variety of issues concerning patient confi- … -
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… that is generating a great deal of innovation in the com- puting industry. Cloud computing environments commonly … Bauer D, Higgs B and Mohtashemi M (2007) High Performance Com- puting for Disease Surveillance. Lecture Notes in … -
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… we dem- onstrate an approach for this process based on a com- mon analytical development and benchmarking with common … [1] Reis BY, Pagano M, Mandl KD, Using temporal con- text to improve surveillance, PNAS. 2003;100(4):1961- … -
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 smaller amount of historical data is required com- pared to when census tracts are used as the spatial … -
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… Components Analysis (PCA) re- moves redundancy, or co-linearity, in the data while it preserves the correlation …