A stochastic SICA model for HIV/AIDS transmission

Yiping Tan, Yongli Cai, Xiaodan Sun, Kai Wang, Ruoxia Yao, Weiming Wang and Zhihang Peng

Chaos, Solitons & Fractals, 2022, vol. 165, issue P1

Abstract: In this paper, we present a stochastic HIV/AIDS model with standard incidence rate to investigate the impact of random fluctuations on the HIV viral dynamics. Firstly, the sufficient conditions for the stochastic extinction of the disease are obtained. Secondly, after defining the threshold parameter Rs, we prove that the model has a unique ergodic stationary distribution when Rs>1, which reveals that the disease will persist almost surely. Subsequently, we give the exact expression of the probability density function around a quasi-equilibrium point by applying four-dimensional Fokker–Planck equation. Finally, through the numerical simulations of several examples, we not only verify the correctness of the theoretical results, but also explore how the disease goes for the case of not giving clear results theoretically. Epidemiologically, we find that increasing the noise intensities may be conducive to control the spread of the HIV.

Keywords: Stochastic SICA model; HIV/AIDS transmission; White noise; Extinction; Stationary distribution (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:165:y:2022:i:p1:s096007792200947x

DOI: 10.1016/j.chaos.2022.112768

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