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Shehu S. Abubakar, Rilwanu Y. Gigane, Ibrahim Muhammad and Abubakar Ibrahim

Ebola virus hemorrhagic fever has been recently identified as a serious health threat to some African countries,and there is still the need for knowing more about the virus to help fight against it. Better understanding the transmission dynamics of Ebola virus disease requires a collective combination of expertise from distinct areas of knowledge including mathematics. The mathematical modeling technique in this study provides forecasts about the extent to which the spread of Ebola virus can reach in both presence and absence of control measures. This work studied a mathematical strategy of analyzing the transmission dynamics of Ebola virus, to enhance the understanding of the pattern in which infectious diseases spread in a population of fully susceptible individuals, by considering some vital facts about the disease itself and the mathematical modeling of the disease, based on some relevant existing studies. The research carried out mathematical modeling of Ebola virus hemorrhagic fever and conducted numerical simulations using the data available from the reliable sources. This paper obtained plots of numerical simulations, by using the Susceptible, Infectious and Recovered (SIR) epidemic model. Even though the study did not identify any Ebola vaccine; it found that vaccinating the susceptible people is an active mechanism of combating the spread of Ebola virus disease.

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The Beam journal of arts and science
ISSN: 1118-5953 www.uaspolysok.edu.ng/jounal