Automated Syndromic Surveillance using Intelligent Mobile Agents

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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 significant computing power for analyzing the data. Intelligent mobile agents may be used to create a distributed surveillance system that will utilize the hard drives and ... continued below

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Miller, Paul December 2007.

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This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 297 times . More information about this thesis can be viewed below.

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  • Miller, Paul

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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 significant computing power for analyzing the data. Intelligent mobile agents may be used to create a distributed surveillance system that will utilize the hard drives and computer processing unit (CPU) power of the hosts on the agent network where the syndromic information is located. This thesis proposes the design of a mobile agent-based syndromic surveillance system and an agent decision model for outbreak detection. Simulation results indicate that mobile agents are capable of detecting an outbreak that occurs at all hosts the agent is monitoring. Further study of agent decision models is required to account for localized epidemics and variable agent movement rates.

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UNT Theses and Dissertations

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  • December 2007

Added to The UNT Digital Library

  • May 2, 2008, 3:16 p.m.

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  • Jan. 15, 2014, 2:44 p.m.

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Citations, Rights, Re-Use

Miller, Paul. Automated Syndromic Surveillance using Intelligent Mobile Agents, thesis, December 2007; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc5141/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .