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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… 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 … -
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 …