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dc.contributor.authorKanyiri, Caroline W.
dc.contributor.authorKimathi, Mark
dc.contributor.authorLuboobi, Livingstone
dc.date.accessioned2019-03-26T06:51:26Z
dc.date.available2019-03-26T06:51:26Z
dc.date.issued2018
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/4141
dc.description.abstractEvery year, influenza causes high morbidity and mortality especially among the immunocompromised persons worldwide. The emergenceofdrugresistancehasbeenamajorchallengeincurbingthespreadofinfluenza.Inthispaper,amathematicalmodelis formulated and used to analyze the transmission dynamics of influenza A virus having incorporated the aspect of drug resistance. The qualitative analysis of the model is given in terms of the control reproduction number,Rc.The model equilibrium are computed and stability analysis carried out.The model is found to exhibit backward bifurcation prompting the need to lower Rc to a critical value R∗ c foreffective disease control.Sensitivity analysis results reveal that vaccine efficacy is the parameter with the most control over the spread of influenza. Numerical simulations reveal that despite vaccination reducing the reproduction number below unity,influenza still persists in the population.Hence,it is essential,in addition to vaccination,to apply other strategies to curb the spread of influenza.en_US
dc.language.isoen_USen_US
dc.publisherHindawien_US
dc.subjectDrug Resistanceen_US
dc.subjectInfluenzaen_US
dc.subjectMathematical Analysisen_US
dc.titleMathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistanceen_US
dc.typeArticleen_US


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