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dc.contributor.authorKolade, Mathew Owolabi
dc.contributor.authorKailash, Chandra Patidar
dc.contributor.authorShikongo, Albert
dc.date.accessioned2021-05-10T09:43:48Z
dc.date.available2021-05-10T09:43:48Z
dc.date.issued2019-08
dc.identifier.urihttp://hdl.handle.net/11071/10497
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractIn this study, we extend a model that expresses intrinsic drug resistances to include SBS time required for mutation rate to take place and spatial effects of the involved cells. Furthermore, we show that the local stability condition(s) are (is) global stable. Since it is not that easy to solve the extended model analytically, we derive, analyze, implement, present a numerical solution and compare it with the solution of the original model.en_US
dc.description.sponsorshipDepartment of Mathematics, University of the Western Cape, South Africa.en_US
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectMutationsen_US
dc.subjectChemotherapyen_US
dc.subjectStability analysis.en_US
dc.subjectDrug resistanceen_US
dc.titleNumerical solution for an extended multi-mutation and drug resistance modelen_US
dc.typeArticleen_US


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  • SIMC 2019 [99]
    5th Strathmore International Mathematics Conference (August 12 – 16, 2019)

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