Abstract
In this paper, we investigate a stochastic multi-stage model to evaluate the influence of treatment intensification with the integrase inhibitor raltegravir on viral load and 2-LTR dynamics in HIV patients under suppressive therapy. Firstly, it is proven that the model has a unique global positive solution. Secondly, by constructing a Lyapunov function, we establish sufficient conditions for the existence of a unique ergodic stationary distribution if \(R_{0}^{S}>1\). Thirdly, we obtain sufficient criterions \(R_{0}^{s}<1\) for disease extinction. Finally, the analytical results are demonstrated via two simulation examples. Our contribution also concentrates on proposing a method constructing Lyapunov function, which can be successfully used for the research about stationary distribution of epidemic model with nonlinear stochastic perturbation.
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This work is supported by grants from the Natural Science Foundation of Shandong Province of China (Nos. ZR2018MA023, ZR2020QA008, ZR2019BA022), the National Natural Science Foundation of China under grants no. 11901329, a Project of Shandong Province Higher Educational Science and Technology Program of China (Nos. J16LI09).
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Lu, C., Sun, G. & Zhang, Y. Stationary distribution and extinction of a multi-stage HIV model with nonlinear stochastic perturbation. J. Appl. Math. Comput. 68, 885–907 (2022). https://doi.org/10.1007/s12190-021-01530-z
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DOI: https://doi.org/10.1007/s12190-021-01530-z