Identification of Gumel-Mickens HIV model with incomplete information on a population
OUTPUT TYPE: Conference or seminar papers
PUBLICATION YEAR: 2017
TITLE AUTHOR(S): M.Ngungu, C.R.Kikawa, M.Y.Shatalov, I.Fedotov
KEYWORDS: HIV/AIDS, MATHEMATICS
DEPARTMENT: Developmental, Capable and Ethical State (DCES)
Print: HSRC Library: shelf number 10166
HANDLE: 20.500.11910/11663
URI: http://hdl.handle.net/20.500.11910/11663
PUBLICATION YEAR: 2017
TITLE AUTHOR(S): M.Ngungu, C.R.Kikawa, M.Y.Shatalov, I.Fedotov
KEYWORDS: HIV/AIDS, MATHEMATICS
DEPARTMENT: Developmental, Capable and Ethical State (DCES)
Print: HSRC Library: shelf number 10166
HANDLE: 20.500.11910/11663
URI: http://hdl.handle.net/20.500.11910/11663
If you would like to obtain a copy of this Research Output, please contact Hanlie Baudin at researchoutputs@hsrc.ac.za.
Abstract
In this paper the Gumel-Mickens problem is considered, which includes a population of four types: HIV Susceptible, infected-vaccinated and infected- non vaccinated population and uninfected vaccinated population. It is assumed that data on the total population infected vaccinated and infected, and un-vaccinated population is available. It is shown that in this case of incomplete information it is possible to fully identify the mathematical model, i.e. find all coefficients of this model and restore information about HIV-suspected and uninfected vaccinated population.-
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