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Compartmental and Simulation Models for Evaluating MedKit Prepositioning Strategies for Anthrax Attack Response

dc.contributor.advisorHerrmann, Jeffrey Wen_US
dc.contributor.authorHouck, Michelle Leeen_US
dc.date.accessioned2011-07-07T05:54:31Z
dc.date.available2011-07-07T05:54:31Z
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1903/11742
dc.description.abstractSince the 2001 anthrax attacks, public health officials have become concerned with planning for a potential large scale attack. Researchers have worked to model attack scenarios in order to evaluate various response policies. One response policy that has been proposed is to preemptively distribute antibiotics to the public in the form of MedKits before an attack occurs. Despite numerous models and studies, there has not been a model to study the effect of distributing MedKits on the expected number of deaths in an attack. We develop a discrete-time compartmental difference equation model to analyze the policy. The results show that distributing any number of MedKits reduces the number of deaths expected in all scenarios tested. We analyze under what circumstances the MedKits have the largest life-saving impact. We also develop a stochastic transition model to demonstrate the accuracy of the MedKits model results.en_US
dc.titleCompartmental and Simulation Models for Evaluating MedKit Prepositioning Strategies for Anthrax Attack Responseen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentApplied Mathematics and Scientific Computationen_US
dc.subject.pqcontrolledApplied Mathematicsen_US
dc.subject.pqcontrolledOperations Researchen_US
dc.subject.pquncontrolledAnthraxen_US
dc.subject.pquncontrolledCompartmental Modelen_US
dc.subject.pquncontrolledEmergency Preparednessen_US
dc.subject.pquncontrolledMedKiten_US
dc.subject.pquncontrolledSimulation Modelen_US


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