Mathematical modeling and control of MERS-CoV epidemics

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dc.contributor.committeeChairEdwards, Don E.
dc.contributor.committeeMemberGrigorieva, Ellina
dc.contributor.committeeMemberNavarra-Madsen, Junalyn
dc.creatorAlshakhoury, Narjes S.
dc.creator.orcid0000-0002-9502-7171
dc.date.accessioned2018-05-10T20:53:46Z
dc.date.available2018-05-10T20:53:46Z
dc.date.created2017-12
dc.date.issued11/20/2017
dc.date.submitted17-Dec
dc.date.updated2018-05-10T20:53:47Z
dc.description.abstractMiddle East Respiratory Syndrome Coronavirus (MERS-CoV) is a viral infectious disease that can be transmitted to humans through interaction with infected animals or humans. In this thesis, we will investigate the basic compartment models for infectious diseases qualitatively and quantitatively. The equilibrium points and their stability will be explored by using differential equations methods. Based on the available data on the Middle East Respiratory Syndrome, this research study will clarify the model of MERS-CoV analytically and numerically. Additionally, this proposed study will explore the optimal control to reduce the spread of MERS-CoV disease as well as its threshold. Mathematical software, such as MAPLE, will be used to investigate the model.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/11274/9782
dc.language.isoen
dc.subjectMathematical modeling
dc.subjectMERS CoV model
dc.titleMathematical modeling and control of MERS-CoV epidemics
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentMathematics and Computer Sciences
thesis.degree.disciplineMathematics
thesis.degree.grantorTexas Woman's University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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