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</script>handle: 10773/35176
A 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.
This is a preprint of a paper whose final and definite form is published by 'Optimization' (ISSN 0233-1934). Submitted 31-Mar-2021; Revised 19-Aug and 10-Oct 2021; Accepted 10-Nov-2021
Behavioural change, Optimization and Control (math.OC), FOS: Mathematics, Heroin epidemic mathematical model, Stability analysis, 34D20, 49J15, 92D30, Mathematics - Optimization and Control, Optimal control
Behavioural change, Optimization and Control (math.OC), FOS: Mathematics, Heroin epidemic mathematical model, Stability analysis, 34D20, 49J15, 92D30, Mathematics - Optimization and Control, Optimal control
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
