Displaying results 1 - 5 of 5
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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… how common analytical development and analysis may be coupled with realistic data sets to provide insight … and then benchmarked using five years of daily visits in the Boston area of the HPHC data. In particular, … we dem- onstrate an approach for this process based on a com- mon analytical development and benchmarking with common … -
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… disease in the VHA patient population in PR in 2010 may be related to increased rainfall (see reference). This … disease in the VHA patient population in PR in 2010 may be related to increased rainfall (see reference). This … -
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… dictated by disease specific parameters after which may move to another. The rates at which members move from … of spatio-temporal data corresponding to the time of visit and patient location (census tracts) when symptomatic … -
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 … -
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… abundance of temporal information on multiple syndromes, mul- tivariate investigation of temporal anomalies remains …