Modelling Impact of Assumed Vaccine of Covid 19 in Kenya

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dc.contributor.authorMamai, Felistus and Kimathi, George
dc.date.accessioned2024-05-13T11:28:25Z
dc.date.available2024-05-13T11:28:25Z
dc.date.issued2021
dc.descriptionJournal Article
dc.description.abstractThis work investigates the optimal control of the Covid-19 model. The model consists of susceptible, exposed, infected, quarantine, hospitalized, complicated, recovered, and death compartments. We present different components of the model and their interactions. We also give Numerical simulations to illustrate and compare the obtained results.
dc.identifier.citationMamai, F., and Kimathi, G. (2021): Modelling Impact of Assumed Vaccine of Covid 19 in Kenya. International Journal of Recent Research in Mathematics Computer Science and Information Technology
dc.identifier.issn2350-1022
dc.identifier.urihttps://repository.daystar.ac.ke/handle/123456789/4613
dc.language.isoen
dc.publisherInternational Journal of Recent Research in Mathematics Computer Science and Information Technology
dc.relation.ispartofseriesVol. 7, Issue 2
dc.subjectCovid-19
dc.subjectMathematical model
dc.subjectoptimal control
dc.subjectSEIR
dc.subjectStability Analysis
dc.subjectvaccination
dc.titleModelling Impact of Assumed Vaccine of Covid 19 in Kenya
dc.typeArticle

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