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dc.contributor.advisorOukouomi Noutchie, S.C.
dc.contributor.authorMbokoma, Mainza
dc.date.accessioned2021-03-09T11:19:40Z
dc.date.available2021-03-09T11:19:40Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10394/36869
dc.descriptionMSc (Mathematics), North-West University, Mafikeng Campus, 2016en_US
dc.description.abstractThis study examined selected nonlinear Stochastic Differential Equations arising in disease modeling. The main objective of this study was to include randomness into the dynamics of tuberculosis and HIV. Stochasticity to the models was introduced through perturbation of parameters which is a standard method in stochastic population modeling. The well-posedness analysis of SDEs included the existence of non-negative solutions as required in the dynamics of population modeling. A detailed stability analysis of results, analytical properties and asymptotical behavior of solutions was also done. The mean reverting process was approximated for one of the variables in the TB and HIV models and the mean and variance of the process was found.en_US
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa)en_US
dc.titleA theoretical analysis of stochastic epidemiological models under delay and fractional brownian motionen_US
dc.typeThesisen_US
dc.description.thesistypeMastersen_US
dc.contributor.researchID23238917 - Oukouomi Noutchie, S.C. (Supervisor)


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