Mathematical modelling of Cholera Immunology

dc.contributor.advisorGarira, W.
dc.contributor.advisorMusie, E.
dc.contributor.authorMaphiri, Azwindini Delinah
dc.date2016
dc.date.accessioned2017-08-10T10:10:14Z
dc.date.available2017-08-10T10:10:14Z
dc.date.issued2016-05
dc.descriptionMSc (Applied Mathematics)
dc.descriptionDepartment of Applied Mathematics
dc.description.abstractCholera is still regarded as an illness that causes morbidity and mortality, more especially in developing countries. Cholera is an acute, diarrhoeal illness caused the bacterium Vibrio Cholerae (V. Cholerae), which is found in marine waters. This disease is acquired mainly by ingesting food or water contami-nated by faecal material from patients or carriers. Mathematical models are used to outline how infec-tious diseases progress, to show the likely outcome of an epidemic and help inform public interventions. Mathematicians have used epidemiological models to study more about the dynamics of cholera. Epi-demiology is about patterns in space and also time of the disease. Out of the patterns we may infer the causes of the disease. In addition, the future of the disease can be predicted and hence decisions regard-ing the need for control measures can be made. The immune response to disease agents should also be considered. The immune system is a collection of mechanisms that protect against infection by identify-ing and killing the invading pathogens. Mathematicians have ignored the study of cholera immunology. The aim of this study was to understand cholera immunology. We have developed the basic mathemat-ical model of cholera immunology. Secondly we extend the model by partitioning the immune system in general to phagocytes and lymphocytes. We have learned that the decay rate of immune cells in an individual is not good. People must have strong immune system so that they can fight cholera infection. We recommend that future studies should focus on the development of immuno-epidemilogical model and also to include treatment on the model.
dc.format.extent1 online resource (viii, 87 leaves)
dc.identifier.apacitationMaphiri, A. D. (2016). <i>Mathematical modelling of Cholera Immunology</i>. (). . Retrieved from http://hdl.handle.net/11602/799en_ZA
dc.identifier.chicagocitationMaphiri, Azwindini Delinah. <i>"Mathematical modelling of Cholera Immunology."</i> ., , 2016. http://hdl.handle.net/11602/799en_ZA
dc.identifier.citationMaphiri, A.D. 2016. Mathematical modelling of Cholera Immunology. . . http://hdl.handle.net/11602/799en_ZA
dc.identifier.ris TY - Dissertation AU - Maphiri, Azwindini Delinah AB - See the attached abstract below DA - 2016-05 DB - ResearchSpace DP - Univen KW - Mathematical modelling KW - Cholera KW - Immunology LK - https://univendspace.univen.ac.za PY - 2016 T1 - Mathematical modelling of Cholera Immunology TI - Mathematical modelling of Cholera Immunology UR - http://hdl.handle.net/11602/799 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11602/799
dc.identifier.vancouvercitationMaphiri AD. Mathematical modelling of Cholera Immunology. []. , 2016 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/799en_ZA
dc.language.isoenen_US
dc.relation.requiresPDF
dc.rightsUniversity of Venda
dc.subjectMathematical modellingen_US
dc.subjectUCTDen_ZA
dc.subjectCholeraen_US
dc.subjectImmunologyen_US
dc.subject.ddc616.932
dc.subject.lcshCholera
dc.subject.lcshCholera -- Immunological aspects
dc.subject.lcshCholera -- Vaccination
dc.subject.lcshCholera -- Diagnosis
dc.titleMathematical modelling of Cholera Immunologyen_US
dc.typeDissertationen_US

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