Semi-analytical solution for the mathematical modeling of yellow fever dynamics incorporating secondary host

dc.contributor.authorSamuel Abu Somma
dc.contributor.authorNinuola Ifeoluwa Akinwande
dc.contributor.authorRoseline Toyin Abah
dc.contributor.authorFestus Abiodun Oguntolu
dc.contributor.authorFlorence Dami Ayegbusi
dc.date.accessioned2025-05-04T18:15:32Z
dc.date.issued2019-04-15
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 community.
dc.identifier.citationS. A. Somma, N. I. Akinwande, R. T. Abah, F. A. Oguntolu & F. D. Ayegbusi. (2019). Semi-Analytical Solution for the Mathematical Modeling of yellow Fever dynamics Incorporating Secondary Host. Communication in Mathematical Modeling and Applications. (4)1: 9-24
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1822
dc.language.isoen
dc.publisherCommunication in Mathematical Modeling and Applications (CMMA)
dc.subjectSemi-analytical
dc.subjectmathematical modeling
dc.subjectyellow fever
dc.subjectdynamics
dc.subjectdifferential transformation method
dc.titleSemi-analytical solution for the mathematical modeling of yellow fever dynamics incorporating secondary host
dc.typeArticle

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