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Computational Modelling of Cholera Bacteriophage with Treatment

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dc.creator Mgonja, Daniel S.
dc.creator Massawe, Estomih S.
dc.creator Makinde, Oluwole D.
dc.date 2016-06-26T17:13:46Z
dc.date 2016-06-26T17:13:46Z
dc.date 2015
dc.date.accessioned 2018-03-27T08:57:54Z
dc.date.available 2018-03-27T08:57:54Z
dc.identifier Mgonja, D.S., Massawe, E.S. and Makinde, O.D., 2015. Computational Modelling of Cholera Bacteriophage with Treatment. Open Journal of Epidemiology, 5(03), p.172.
dc.identifier http://hdl.handle.net/20.500.11810/2718
dc.identifier 10.4236/ojepi.2015.53022
dc.identifier.uri http://hdl.handle.net/20.500.11810/2718
dc.description This paper examines the computational modelling of cholera bacteriophage with treatment. A nonlinear mathematical model for cholera bacteriophage and treatment is formulated and analysed. The effective reproduction number of the nonlinear model system is calculated by next generation operator method. By using the next generation matrix approach, the disease-free equilibrium is found to be locally stable at threshold parameter less than unity and unstable at threshold parameter greater than unity. Globally, the disease free equilibrium point is not stable due to existence of forward bifurcation at threshold parameter equal to unity. Stability analysis and numerical simulations suggest that the combination of bacteriophage and treatment may contribute to lessening the severity of cholera epidemics by reducing the number of Vibrio cholerae in the environment. Hence with the presence of bacteriophage virus and treatment, cholera is self-limiting in nature.
dc.language en
dc.publisher Scientific Research
dc.subject Cholera
dc.subject Bacteriophage
dc.subject Treatment
dc.subject Vibrio cholerae
dc.subject Equilibrium
dc.subject Stability
dc.subject Effective Reproduction Number
dc.title Computational Modelling of Cholera Bacteriophage with Treatment
dc.type Journal Article, Peer Reviewed


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