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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… from 4 to 72 weeks spanning a period of ten years. The de- tection algorithm was thus parallelized by processing … using individual addresses is more efficient due to higher computational fidelity. When we utilize 32 or … -
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 the method is applied to real TB outbreaks, both the de- tection sensitivity and timeliness are improved and …