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

dc.contributor.authorChapwanya, Michael
dc.contributor.authorLubuma, Jean M.-S.
dc.contributor.authorLutermann, Heike
dc.contributor.authorMatusse, A.
dc.contributor.authorNyabadza, F.
dc.contributor.authorTerefe, Y.
dc.date.accessioned2022-02-23T08:26:26Z
dc.date.issued2021
dc.descriptionThis 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.abstractA 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.departmentMathematics and Applied Mathematicsen_ZA
dc.description.departmentZoology and Entomologyen_ZA
dc.description.embargo2022-04-18
dc.description.librarianhj2022en_ZA
dc.description.sponsorshipThe 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.urihttps://www.tandfonline.com/loi/tsms20en_ZA
dc.identifier.citationM. 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.issn0972-0510 (print)
dc.identifier.issn2169-0014 (online)
dc.identifier.other10.1080/09720510.2020.1843274
dc.identifier.urihttp://hdl.handle.net/2263/84157
dc.language.isoenen_ZA
dc.publisherTaylor and Francisen_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.subjectCannabis-free equilibriumen_ZA
dc.subjectCannabis persistent equilibriumen_ZA
dc.subjectBackward bifurcationen_ZA
dc.subjectLocally asymptotically stableen_ZA
dc.subjectGlobally asymptotically stableen_ZA
dc.titleA mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rateen_ZA
dc.typePostprint Articleen_ZA

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