Numerical solution for an extended multi-mutation and drug resistance model
dc.contributor.author | Kolade, Mathew Owolabi | |
dc.contributor.author | Kailash, Chandra Patidar | |
dc.contributor.author | Shikongo, Albert | |
dc.date.accessioned | 2021-05-10T09:43:48Z | |
dc.date.available | 2021-05-10T09:43:48Z | |
dc.date.issued | 2019-08 | |
dc.description | Paper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenya | en_US |
dc.description.abstract | In 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.sponsorship | Department of Mathematics, University of the Western Cape, South Africa. | en_US |
dc.identifier.uri | http://hdl.handle.net/11071/10497 | |
dc.language.iso | en_US | en_US |
dc.publisher | Strathmore University | en_US |
dc.subject | Mutations | en_US |
dc.subject | Chemotherapy | en_US |
dc.subject | Stability analysis. | en_US |
dc.subject | Drug resistance | en_US |
dc.title | Numerical solution for an extended multi-mutation and drug resistance model | en_US |
dc.type | Article | en_US |
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