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dc.contributor.authorZheng, Nibiao
dc.date.accessioned2014-07-18T04:30:20Z
dc.date.available2014-07-18T04:30:20Z
dc.date.issued2013-12
dc.identifier.otherzheng_nibiao_201312_phd
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/zheng_nibiao_201312_phd
dc.identifier.urihttp://hdl.handle.net/10724/30277
dc.description.abstractTuberculosis (TB) has been a human infectious disease for a long time. Yet, there are currently 2 billion persons infected with TB in the world. About 2 million people died in 2008 due to TB. It is essential to study why TB can survive a long time in human history and explore TB controls that might help eliminate TB in the future. This thesis is composed of three projects of mathematical studies of TB transmission and controls. The first project explores the possible reason for TB persistence. Simulation results suggest that TB has the optimal strength for persistence with a prolonged latency period. The second project studies the impact of HIV prevalence on TB epidemic. Simulation results show that the majority of TB cases are HIV negative when the HIV prevalence is below 25%. The number of HIV positive TB cases outnumbers the number of HIV negative TB cases when the HIV prevalence is over 25%. The third project analyzes the cost effectiveness of active case finding (ACF) in urban and rural Uganda areas. Results suggest that ACF implementation is more cost effective in the urban area than in the rural in terms of cost per TB case averted and ACF is more cost effective if implemented for a longer period.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectTuberculosis
dc.subjectHIV
dc.subjectPersistence
dc.subjectLatency
dc.subjectActive Case Finding (ACF)
dc.subjectPassive Case Finding (PCF)
dc.subjectTB Detection
dc.subjectCost-effectiveness
dc.subjectMathematical model
dc.subjectModeling
dc.titleMathematical studies of persistence and cost effectiveness of active case finding of tuberculosis
dc.typeDissertation
dc.description.degreePhD
dc.description.departmentBioinformatics
dc.description.majorBioinformatics
dc.description.advisorAndreas Handel
dc.description.committeeAndreas Handel
dc.description.committeeChristopher Whalen
dc.description.committeeAndrew Park
dc.description.committeeCaner Kazanci


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