Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/35176
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dc.contributor.authorSowndarrajan, P. T.pt_PT
dc.contributor.authorShangerganesh, L.pt_PT
dc.contributor.authorDebbouche, A.pt_PT
dc.contributor.authorTorres, D. F. M.pt_PT
dc.date.accessioned2022-11-14T14:17:03Z-
dc.date.available2022-11-14T14:17:03Z-
dc.date.issued2022-
dc.identifier.issn0233-1934pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/35176-
dc.description.abstractA heroin epidemic mathematical model with prevention information and treatment, as control interventions, is analyzed, assuming that an individual's behavioral response depends on the spreading of information about the effects of heroin. Such information creates awareness, which helps individuals to participate in preventive education and self-protective schemes with additional efforts. We prove that the basic reproduction number is the threshold of local stability of a drug-free and endemic equilibrium. Then, we formulate an optimal control problem to minimize the total number of drug users and the cost associated with prevention education measures and treatment. We prove existence of an optimal control and derive its characterization through Pontryagin's maximum principle. The resulting optimality system is solved numerically. We observe that among all possible strategies, the most effective and cost-less is to implement both control policies.pt_PT
dc.language.isoengpt_PT
dc.publisherTaylor & Francispt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PTpt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHeroin epidemic mathematical modelpt_PT
dc.subjectStability analysispt_PT
dc.subjectBehavioural changept_PT
dc.subjectOptimal controlpt_PT
dc.titleOptimal control of a heroin epidemic mathematical modelpt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage3107pt_PT
degois.publication.issue11pt_PT
degois.publication.lastPage3131pt_PT
degois.publication.titleOptimizationpt_PT
degois.publication.volume71pt_PT
dc.relation.publisherversionhttps://doi.org/10.1080/02331934.2021.2009823pt_PT
dc.identifier.doi10.1080/02331934.2021.2009823pt_PT
dc.identifier.essn1029-4945pt_PT
Appears in Collections:CIDMA - Artigos
SCG - Artigos

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