A mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rate

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dc.contributor.author Chapwanya, Michael
dc.contributor.author Lubuma, Jean M.-S.
dc.contributor.author Lutermann, Heike
dc.contributor.author Matusse, A.
dc.contributor.author Nyabadza, F.
dc.contributor.author Terefe, Y.
dc.date.accessioned 2022-02-23T08:26:26Z
dc.date.issued 2021
dc.description This work originated from projects assigned to participants in the 2 nd joint UNISA-UP Work-shop on Mathematical and Theoretical Epidemiology that was held at the University of Pretoria from 2 to 8 March 2015. en_ZA
dc.description.abstract A deterministic mathematical model for the dynamics of cannabis use in a South Africa metropolis of Durban is proposed and analysed. To the analysis the model, the important threshold parameter ℛ0 (the basic reproduction number), is determined. It is proved that the model exhibits multiple cannabis persistent equilibria. For ℛ0 < 1, the model exhibits a backward bifurcation due to double exposure to cannabis sources and re-addiction in the population. More precisely, the locally asymptotically stable cannabis-free equilibrium co-exists with the locally asymptotically stable cannabis persistent equilibrium. Under this situation, the cannabis consumption will remain stay in the population even though ℛ0 < 1. In the absence of double exposure and re-addiction, it is shown that the cannabis-free equilibrium is globally asymptotically stable (GAS) when ℛ0 < 1, while the cannabis persistent equilibrium is GAS when ℛ0 > 1. The model is fitted into the available data and the values of the parameters involved in the model formulation are estimated. Sensitivity analysis of the model, using the parameters involved in the formulation of ℛ0 , is given. Numerical simulation to support the theoretical analysis of the model is provided. en_ZA
dc.description.department Mathematics and Applied Mathematics en_ZA
dc.description.department Zoology and Entomology en_ZA
dc.description.embargo 2022-04-18
dc.description.librarian hj2022 en_ZA
dc.description.sponsorship The DST/NRF SARChI Chair in Mathematical Models and Methods in Bioengineering and Biosciences from the University of Pretoria and University of South Africa. en_ZA
dc.description.uri https://www.tandfonline.com/loi/tsms20 en_ZA
dc.identifier.citation M. Chapwanya, J. M. S. Lubuma, H. Lutermann, A. Matusse, F. Nyabadza & Y. Terefe (2021) A mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rate, Journal of Statistics and Management Systems, 24:8, 1627-1647, DOI: 10.1080/09720510.2020.1843274. en_ZA
dc.identifier.issn 0972-0510 (print)
dc.identifier.issn 2169-0014 (online)
dc.identifier.other 10.1080/09720510.2020.1843274
dc.identifier.uri http://hdl.handle.net/2263/84157
dc.language.iso en en_ZA
dc.publisher Taylor and Francis en_ZA
dc.rights © Taru Publications. This is an electronic version of an article published in Journal of Statistics and Management Systems, vol. 24, no. 8, pp. 1627-1647, 2021. doi : 10.1080/09720510.2020.1843274. Journal of Statistics and Management Systems is available online at : https://www.tandfonline.com/loi/tsms20. en_ZA
dc.subject Cannabis-free equilibrium en_ZA
dc.subject Cannabis persistent equilibrium en_ZA
dc.subject Backward bifurcation en_ZA
dc.subject Locally asymptotically stable en_ZA
dc.subject Globally asymptotically stable en_ZA
dc.title A mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rate en_ZA
dc.type Postprint Article en_ZA


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