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Dynamics of synthetic drug transmission models

  • Shitao Liu and Liang Zhang EMAIL logo
Published/Copyright: March 29, 2021

Abstract

The deterministic and stochastic synthetic drug transmission models with relapse are formulated. For the deterministic model, the basic reproduction number R 0 is derived. We show that if R 0 < 1, the drug-free equilibrium is globally asymptotically stable and if R 0 > 1, there exists a unique drug-addition equilibrium which is globally asymptotically stable. For the stochastic model, we show there exists a unique global positive solution of the stochastic model for any positive initial value. Then by constructing some stochastic Lyapunov functions, we show that the solution of the stochastic model is going around each of the steady states of the corresponding deterministic model under certain parametric conditions. The sensitive analysis of the basic reproduction number R 0 indicates that it is helpful to reduce the relapse rate of people who have a history of drug abuse in the control of synthetic drug spreading. Numerical simulations are carried out and approve our results.

2010 MSC: 34D23; 35B40; 37N25; 60H10

Corresponding author: Liang Zhang, College of Science, Northwest A&F University Yangling, Shaanxi 712100, PR China, E-mail:

Award Identifier / Grant number: 11601405

Acknowledgements

This work was partially supported by the CSC (201806305025), NSF of Shaanxi Province (2020JM-175), and NSF of China (No. 11601405). The authors also are grateful to the Reviewers and the Editor, and their valuable suggestions led to the improvement of our original manuscript.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-01-27
Revised: 2020-05-11
Accepted: 2021-03-05
Published Online: 2021-03-29
Published in Print: 2022-06-25

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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