4.5 Article

Analysis of a time-delayed HIV/AIDS epidemic model with education campaigns

Journal

COMPUTATIONAL & APPLIED MATHEMATICS
Volume 40, Issue 6, Pages -

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40314-021-01601-8

Keywords

Delay differential equations; Epidemic model; Asymptotic behavior; Bifurcation; Numerical approximations

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The study focused on the impact of education dissemination on an HIV/AIDS epidemic model, showing that the disease will be eradicated if the basic reproduction number is less than or equal to one, and will be permanent if it is greater than one, with the impact on the population minimized as education dissemination increases. The size of the infected population at the endemic equilibrium decreases linearly with the amount of information disseminated, indicating the importance of education in controlling the disease.
We consider a time-delayed HIV/AIDS epidemic model with education dissemination and study the asymptotic dynamics of solutions as well as the asymptotic behavior of the endemic equilibrium with respect to the amount of information disseminated about the disease. Under appropriate assumptions on the infection rates, we show that if the basic reproduction number is less than or equal to one, then the disease will be eradicated in the long run and any solution to the Cauchy problem converges to the unique disease-free equilibrium of the model. On the other hand, when the basic reproduction number is greater than one, we prove that the disease will be permanent but its impact on the population can be significantly minimized as the amount of education dissemination increases. In particular, under appropriate hypothesis on the model parameters, we establish that the size of the component of the infected population of the endemic equilibrium decreases linearly as a function of the amount of information disseminated. We also fit our model to a set of data on HIV/AIDS in order to estimate the infection, effective response, and information rates of the disease. We then use these estimates to present numerical simulations to illustrate our theoretical findings.

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