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Role of imitation and limited rehabilitation capacity on the spread of drug abuse.


ABSTRACT:

Objectives

We formulate a mathematical model for the spread of drug abuse using non linear ordinary differential equations. The model seeks to investigate both peer influence and limited rehabilitation effects on the dynamics of drug abuse. Peer-influence is modelled through the mechanism of imitation and limited rehabilitation is described using a special treatment function. Center manifold theory is used to show that the model exhibits the phenomenon of backward bifurcation. Matlab has been used to carry out numerical simulations to support theoretical findings.

Results

The model analysis shows that the model has multiple equilibria. It has been shown that the classical [Formula: see text]-threshold is not the key to control drug abuse within a population. In fact drug abuse problems may persist in the population even with subthreshold values of [Formula: see text]. This was shown to result, in particular when, [Formula: see text], [Formula: see text] and [Formula: see text] are high enough such that [Formula: see text], [Formula: see text] and [Formula: see text]. The results suggest the need for comprehensive and accessible substance abuse treatment services to curtail drug abuse.

SUBMITTER: Mushanyu J 

PROVIDER: S-EPMC6052710 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Role of imitation and limited rehabilitation capacity on the spread of drug abuse.

Mushanyu Josiah J  

BMC research notes 20180718 1


<h4>Objectives</h4>We formulate a mathematical model for the spread of drug abuse using non linear ordinary differential equations. The model seeks to investigate both peer influence and limited rehabilitation effects on the dynamics of drug abuse. Peer-influence is modelled through the mechanism of imitation and limited rehabilitation is described using a special treatment function. Center manifold theory is used to show that the model exhibits the phenomenon of backward bifurcation. Matlab has  ...[more]

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