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DOI 10.21010/ajidv17i1.2

Медицинская библиотека · African journal of infectious diseases · 2022

MATHEMATICAL MODELLING APPROACH OF THE STUDY OF EBOLA VIRUS DISEASE TRANSMISSION DYNAMICS IN A DEVELOPING COUNTRY.

E Mbah Godwin Christopher, Sunday Onah Ifeanyi, Ojoma Ahman Queeneth, C Collins Obiora, C Asogwa Christopher, Chukwudi Okoye

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Аннотация

BACKGROUND

Ebola Virus causes disease both in human and non-human primates especially in developing countries. In 2014 during its outbreak, it led to majority of deaths especially in some impoverished area of West Africa and its effect is still witnessed up till date.

MATERIALS AND

METHODS

We studied the spread of Ebola virus and obtained a system of equations comprising of eighteen equations which completely described the transmission of Ebola Virus in a population where control measures were incorporated and a major source of contacting the disease which is the traditional washing of dead bodies was also incorporated. We investigated the local stability of the disease-free equilibrium using the Jacobian Matrix approach and the disease- endemic stability using the center manifold theorem. We also investigated the global stability of the equilibrium points using the LaSalle's Invariant principle.

RESULTS

The result showed that the disease-free and endemic equilibrium where both local and globally stable and that the system exhibits a forward bifurcation.

CONCLUSIONS

Numerical simulations were carried out and our graphs show that vaccine and condom use is best for susceptible population, quarantine is best for exposed population, isolation is best for infectious population and proper burial of the diseased dead is the best to avoid further disease spread in the population and have quicker and better recovery.

Для цитирования: E Mbah Godwin Christopher, Sunday Onah Ifeanyi, Ojoma Ahman Queeneth, C Collins Obiora, C Asogwa Christopher, Chukwudi Okoye. MATHEMATICAL MODELLING APPROACH OF THE STUDY OF EBOLA VIRUS DISEASE TRANSMISSION DYNAMICS IN A DEVELOPING COUNTRY.. African journal of infectious diseases. 2022. DOI: 10.21010/ajidv17i1.2.
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