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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 … 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 … -
High Performance Computing for Disease Surveillance
Content Type: Abstract
Space-time detection of disease clusters can be a computationally intensive task which defies the real time constraint for disease surveillance. At the same time, it has been shown that using exact patient locations, instead of their representative… read more… OBJECTIVE Space-time detection techniques often require com- putationally intense searching in both the time and … computing platforms, such as a Linux Beowulf Cluster, can come closer to meeting the needs of real time surveillance …