On the almost sure convergence of a stochastic process in a class of nonlinear multi-population behavioral models for HIV/AIDS with delayed ART treatment
Document Type
Article
Publication Date
11-23-2020
Publication Title
Stochastic Analysis and Applications
DOI
10.1080/07362994.2020.1848593
Abstract
The success in reducing global HIV prevalence rates is attributed to control measures like information and education campaigns (IECs), antiretroviral therapy (ART), and national, multinational and multilateral support providing official developmental assistance (ODAs) to combat HIV. A class of stochastic nonlinear multi-population behavioral HIV/AIDS models is studied, where behavioral change is inspired by the IECs safe sex education. Exponential almost sure stability analysis of the model is conducted, and the results are employed to determine the impacts of the supply of ODAs, IECs, early treatment and poverty rates on the epidemic. The behavioral change and the noise induced basic reproduction numbers are obtained.
Recommended Citation
Wanduku, Divine.
2020.
"On the almost sure convergence of a stochastic process in a class of nonlinear multi-population behavioral models for HIV/AIDS with delayed ART treatment."
Stochastic Analysis and Applications: Taylor & Francis Online.
doi: 10.1080/07362994.2020.1848593
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/761
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