A Framework for Analyzing and Optimizing Regional Bio-Emergency Response Plans

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Description

The presence of naturally occurring and man-made public health threats necessitate the design and implementation of mitigation strategies, such that adequate response is provided in a timely manner. Since multiple variables, such as geographic properties, resource constraints, and government mandated time-frames must be accounted for, computational methods provide the necessary tools to develop contingency response plans while respecting underlying data and assumptions. A typical response scenario involves the placement of points of dispensing (PODs) in the affected geographic region to supply vaccines or medications to the general public. Computational tools aid in the analysis of such response plans, as well ... continued below

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ix, 116 p. : ill.

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Schneider, Tamara December 2010.

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This dissertation 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 501 times , with 37 in the last month . More information about this dissertation can be viewed below.

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  • Schneider, Tamara

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Description

The presence of naturally occurring and man-made public health threats necessitate the design and implementation of mitigation strategies, such that adequate response is provided in a timely manner. Since multiple variables, such as geographic properties, resource constraints, and government mandated time-frames must be accounted for, computational methods provide the necessary tools to develop contingency response plans while respecting underlying data and assumptions. A typical response scenario involves the placement of points of dispensing (PODs) in the affected geographic region to supply vaccines or medications to the general public. Computational tools aid in the analysis of such response plans, as well as in the strategic placement of PODs, such that feasible response scenarios can be developed. Due to the sensitivity of bio-emergency response plans, geographic information, such as POD locations, must be kept confidential. The generation of synthetic geographic regions allows for the development of emergency response plans on non-sensitive data, as well as for the study of the effects of single geographic parameters. Further, synthetic representations of geographic regions allow for results to be published and evaluated by the scientific community. This dissertation presents methodology for the analysis of bio-emergency response plans, methods for plan optimization, as well as methodology for the generation of synthetic geographic regions.

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ix, 116 p. : ill.

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UNT Theses and Dissertations

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  • December 2010

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  • May 4, 2011, 1:11 p.m.

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  • Jan. 21, 2014, 1:45 p.m.

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Citations, Rights, Re-Use

Schneider, Tamara. A Framework for Analyzing and Optimizing Regional Bio-Emergency Response Plans, dissertation, December 2010; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc33200/: accessed February 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .