Modelling Population Dynamics of Substance Abuse in the Presence of Addicted Immigrant With Real Data of Rehabilitation Cases

Excessive intake or injection of substances, namely, medications, alcohol, and other harmful drugs, has resulted into unimaginable serious consequences, including mental health and social problems. In an attempt to understand the dynamics of substance abuse and forestall its potential spread in the population, a novel model based on nonlinear system of ordinary differential equations is formulated and analysed in this study. The model takes into account, among other important features, the influx of addicted immigrant and rehabilitation of individuals affected by substance abuse. Least squares method with minimization‐constrained function is employed to fit the model with the real data of substance‐induced mental cases under rehabilitation. Conditions that guarantee the existence and global asymptotic stability of steady states are established, and a key threshold quantity which measures the potential spread of substance abuse influence in a community comprising susceptible and prudent populations is determined. Sensitive parameters of the model are identified, and their effects on the dynamics of substance abuse transmission are investigated with a view to suggesting possible effective measures against the harmful spread of substance abuse in the population.

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Publication Details

Journal
Journal of Applied Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1155/jama/2241780
Citations
10
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
18.79
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article

Modelling Population Dynamics of Substance Abuse in the Presence of Addicted Immigrant With Real Data of Rehabilitation Cases

Sulaimon F. Abimbade, Kazeem O. Okosun, Ramoshweu Solomon Lebelo, Jamiu A. Ademosu et al.
10 citations
Journal of Applied Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
18.79
article

Modelling Population Dynamics of Substance Abuse in the Presence of Addicted Immigrant With Real Data of Rehabilitation Cases

Sulaimon F. Abimbade, Kazeem O. Okosun, Ramoshweu Solomon Lebelo, Jamiu A. Ademosu, Furaha M. Chuma, Richard C. Ogbonna, Samson Olaniyi
article en
10 citations

Abstract

Excessive intake or injection of substances, namely, medications, alcohol, and other harmful drugs, has resulted into unimaginable serious consequences, including mental health and social problems. In an attempt to understand the dynamics of substance abuse and forestall its potential spread in the population, a novel model based on nonlinear system of ordinary differential equations is formulated and analysed in this study. The model takes into account, among other important features, the influx of addicted immigrant and rehabilitation of individuals affected by substance abuse. Least squares method with minimization‐constrained function is employed to fit the model with the real data of substance‐induced mental cases under rehabilitation. Conditions that guarantee the existence and global asymptotic stability of steady states are established, and a key threshold quantity which measures the potential spread of substance abuse influence in a community comprising susceptible and prudent populations is determined. Sensitive parameters of the model are identified, and their effects on the dynamics of substance abuse transmission are investigated with a view to suggesting possible effective measures against the harmful spread of substance abuse in the population.

Journal of Applied MathematicsVol. 2025(1)
Vaal University of Technology (ZA), University of Kansas (US), University of Dar es Salaam (TZ), Lagos State University of Science and Technology (NG), Ladoke Akintola University of Technology (NG), Evangel University (US)
Openalex Percentile: Top 1%
Mathematical and Theoretical Epidemiology and Ecology Models
18.79
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