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Research Article | Open Access

Analysis of illegal drug transmission model using fractional delay differential equations

Komal Bansal1Trilok Mathur1( )Narinderjit Singh Sawaran Singh2Shivi Agarwal1
Department of Mathematics, Birla Institute of Technology and Science, Pilani, India
Faculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, Putra Nilai, Negeri, 71800, Nilai, Negeri Sembilan, Malaysia
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Abstract

The global burden of illegal drug-related death and disability continues to be a public health threat in developed and developing countries. Hence, a fractional-order mathematical modeling approach is presented in this study to examine the consequences of illegal drug usage in the community. Based on epidemiological principles, the transmission mechanism is the social interaction between susceptible and illegal drug users. A pandemic threshold value ( Λ) is provided for the illegal drug-using profession, which determines the stability of the model. The Lyapunov function is employed to determine the stability conditions of illegal drug addiction equilibrium point of society. Finally, the proposed model has been extended to include time lag in the delayed illegal drug transmission model. The characteristic equation of the endemic equilibrium establishes a set of appropriate conditions for ensuring local stability and the development of a Hopf bifurcation of the model. Finally, numerical simulations are performed to support the analytical results.

CLC number: 00A71, 26A33, 92D30, 93C43

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AIMS Mathematics
Pages 18173-18193

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Cite this article:
Bansal K, Mathur T, Singh NSS, et al. Analysis of illegal drug transmission model using fractional delay differential equations. AIMS Mathematics, 2022, 7(10): 18173-18193. https://doi.org/10.3934/math.20221000

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Received: 20 June 2022
Revised: 14 July 2022
Accepted: 17 July 2022
Published: 15 October 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)