Optimizing Hepatitis C Birth-Cohort Screening and treatment Allocation Strategy

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dc.contributor.advisorLiu, Shan
dc.contributor.authorLi, Yuankun
dc.date.accessioned2016-03-11T22:40:48Z
dc.date.available2016-03-11T22:40:48Z
dc.date.issued2016-03-11
dc.date.submitted2015
dc.descriptionThesis (Master's)--University of Washington, 2015
dc.description.abstractChronic hepatitis C (HCV) is a significant public health problem affecting 2.7-3.9 million Americans. The U.S. healthcare systems are ramping up combined HCV screening and treatment efforts, but screening and treatment programs are very costly. We design optimal HCV screening and treatment allocation strategies in the next 10 years under yearly budget constraint from a national societal perspective. The methods include a two-stage simulation and a rule-based exhaustive search.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherLi_washington_0250O_15208.pdf
dc.identifier.urihttp://hdl.handle.net/1773/35230
dc.language.isoen_US
dc.subjectbirth-cohort screening; HCV; healthcare policy; optimization; resource allocation
dc.subject.otherIndustrial engineering
dc.subject.otherindustrial engineering
dc.titleOptimizing Hepatitis C Birth-Cohort Screening and treatment Allocation Strategy
dc.typeThesis

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