Displaying results 1 - 3 of 3
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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… of data dictate highly responsive models that may be best achievable utilizing high performance computing … OBJECTIVE Space-time detection techniques often require com- putationally intense searching in both the time and … more CPUs, the efficiency drops respectively to 45% and 70%, indicating that there is a large sequential component … -
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 …