Mathematical model for the infectiology of Brucellosis with some control strategies

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dc.contributor.authorNyerere, Nkuba
dc.contributor.authorLuboobi, Livingstone
dc.contributor.authorMpeshe, Saul
dc.contributor.authorShirima, Gabriel
dc.date.accessioned2021-05-07T14:27:13Z
dc.date.available2021-05-07T14:27:13Z
dc.date.issued2019
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractBrucellosis is a zoonotic infection caused by gram-negative bacteria of genus brucella. In this paper, a deterministic mathematical model for the infectiology of brucellosis with vaccination of ruminants, culling of seropositive animals through slaughter, and proper environmental hygiene and sanitation is formulated and analyzed. A positive invariant region of the formulated model is established using the Box Invariance method, the effective reproduction number, Re of the model is computed using the standard next generation approach. We proved that the brucellosis free equilibrium exists, locally and globally asymptotically stable if Re < 1 while the endemic equilibrium point exists, locally and globally asymptotically stable if Re > 1. Sensitivity analysis of the effective reproductive number shows that, natural mortality rate of ruminants, recruitment rate, ruminant to ruminant transmission rate, vaccination rate, and disease induced mortality rate are the most sensitive parameters and should be targeted in design of the control strategies for the disease. Numerical simulation shows that the combination of more than two control strategies reduces/eliminates the disease from the livestock population.en_US
dc.description.sponsorshipNelson Mandela African Institution of Science and Technology, Tanzania. Institute of Mathematical Sciences, Strathmore University, Nairobi, Kenya. University of Iringa, Tanzania.en_US
dc.identifier.urihttp://hdl.handle.net/11071/10483
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectBrucellosisen_US
dc.subjectMathematical modelen_US
dc.subjectInfectiologyen_US
dc.subjectControl Strategiesen_US
dc.titleMathematical model for the infectiology of Brucellosis with some control strategiesen_US
dc.typeArticleen_US
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Abstract - SIMC Conference paper, 2019
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