Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/2139
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dc.contributor.authorSomma, Samuel Abu-
dc.contributor.authorAkinwande, Ninuola Ifeoluwa-
dc.contributor.authorAbah, Roseine T.-
dc.contributor.authorOguntolu, Festus Abiodun-
dc.contributor.authorAyegbusi, Florence Dami-
dc.date.accessioned2021-06-08T12:02:00Z-
dc.date.available2021-06-08T12:02:00Z-
dc.date.issued2019-04-15-
dc.identifier.urihttp://ntmsci.com/cmma-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/2139-
dc.description.abstractIn this paper we use Differential Transformation Method (DTM) to solve the mathematical modeling of yellow fever dynamics incorporating secondary host. The DTM numerical solution was compared with the MAPLE RungeKutta 4-th order. The variable and parameter values used for analytical solution were estimated from the data obtained from World Health Organization (WHO) and UNICEF. The results obtained are in good agreement with Runge-Kutta. The solution was also presented graphically and gives better understanding of the model. The graphical solution showed that vaccination rate and recovery rate play a vital role in eradicating the yellow fever in a communityen_US
dc.language.isoenen_US
dc.publisherCommunication in Mathematical Modeling and Applicationsen_US
dc.subjectsemi-analyticalen_US
dc.subjectmathematical modelingen_US
dc.subjectyellow feveren_US
dc.subjectdynamicsen_US
dc.subjectdifferential transformation methoden_US
dc.titleSemi-Analytical Solution for the Mathematical Modeling of Yellow Fever Dynamics Incorporating Secondary Hosten_US
dc.typeArticleen_US
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