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dc.contributor.authorMutwiwa, Jacinta M.
dc.contributor.authorNthiiri, Joyce K.
dc.contributor.authorKwach, Boniface O.
dc.date.accessioned2021-06-09T11:38:10Z
dc.date.available2021-06-09T11:38:10Z
dc.date.issued2018-09-22
dc.identifier.urihttps://doi.org/10.9734/JAMCS/2018/42819
dc.identifier.urihttps://www.journaljamcs.com/index.php/JAMCS/article/view/24233
dc.identifier.urihttp://r-library.mmust.ac.ke/123456789/1676
dc.description.abstractIn this paper, a deterministic mathematical model incorporating interference is developed and analysed to investigate the role of interference on the transmission dynamics and management of HIV and AIDS. The model is shown to be positively invariant as well as bounded. The endemic state is shown to exist provided that the reproduction number is greater than unity. Furthermore, by the use of Routh-Hurwitz criterion and suitable Lyapunov functions, the endemic states are shown to be locally and globally asymptotically stable. This implies that disease transmission levels can be kept quite low or manageable with minimal deaths at the peak times of the re-occurrences. Numerical simulations indicate that minimal interference against the disease lowers the rate of infection and enhances the disease management.en_US
dc.language.isoenen_US
dc.publisherJournal of Advances in Mathematics and Computer Scienceen_US
dc.subjectMathematical,Modelling , role ,Interference , Transmission, Dynamics, Management ,HIV,Aiden_US
dc.titleMathematical Modelling of the Role of Interference on the Transmission Dynamics and Management of Hiv and Aidsen_US
dc.typeArticleen_US


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