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Modelling Vaccination and Treatment of Childhood Pneumonia and Their Implications

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dc.contributor.author Ngari, Cyrus G.
dc.date.accessioned 2018-07-09T07:46:10Z
dc.date.available 2018-07-09T07:46:10Z
dc.date.issued 2018-07
dc.identifier.citation Journal of Advances in Mathematics and Computer Science 28(1): 1-24 en_US
dc.identifier.issn 2456-9968
dc.identifier.uri DOI: 10.9734/JAMCS/2018/41772
dc.identifier.uri http://hdl.handle.net/123456789/1734
dc.description.abstract This paper presents a deterministic model for pneumonia transmission and uses the model to assess the potential impact of the vaccination, treatment and efficacy of vaccination drugs in lowering the public health impact of the pneumonia disease. The model is based on the Susceptible-Vaccinated-Infected- Treated compartmental classes of children less than five years. There is possibility of the non-severely infected recovering from natural immunity. Model analysis indicates the system lie in the positive region, solution is bounded and there exist unique positive endemic equilibrium point whenever control reproduction number is greater than unity. Important epidemiological thresholds such as the basic and control reproduction number are determined. Disease-free point equilibrium points are determined. Local and Global stability of equilibrium points will be investigated. Sensitivity analysis of the reproduction numbers indicated higher vaccination drug efficacy vaccination, treatment and recoveries from natural immunity hold great promise in lowering pneumonia impact. Estimated numerical result indicated impact of treatment is positive. Numerical simulation was carried to predict the dynamics of the system. en_US
dc.language.iso en en_US
dc.publisher Science Domain International en_US
dc.subject Deterministic model en_US
dc.subject vaccination en_US
dc.subject sensitivity and simulation en_US
dc.title Modelling Vaccination and Treatment of Childhood Pneumonia and Their Implications en_US
dc.type Article en_US


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