Automated Syndromic Surveillance using Intelligent Mobile Agents
Description:
Current syndromic surveillance systems utilize centralized databases that are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health monitoring must extend beyond the borders of municipalities or states which will require the ability to store vasts amount of data and s…
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Date:
December 2007
Creator:
Miller, Paul
Partner:
UNT Libraries