Behrens DA, Caulkins JP, Tragler G, Haunschmied JL, & Feichtinger G (1999). A dynamic model of drug initiation: Implications for treatment and drug control. Mathematical Biosciences 159 (1): 1-20. DOI:10.1016/S0025-5564(99)00016-4.Full text not available from this repository.
We set up a time-continuous version of the first-order difference equation model of cocaine use introduced by Everingham and Rydell [S.S. Everingham, C.P. Rydell, Modeling the Demand for Cocaine, MR-332-ONDCP/A/DPRC, RAND, Santa Monica, CA, 1994] and extend it by making initiation an endogenous function of prevalence. This function reflects both the epidemic spread of drug use as users infect' non-users and Musto's [D.F. Musto, The American Disease: Origins of Narcotic Control, Oxford University, New York, 1987] hypothesis that drug epidemics die out when a new generation is deterred from initiating drug use by observing the ill effects manifest among heavy users. Analyzing the model's dynamics suggests that drug prevention can temper drug prevalence and consumption, but that drug treatment's effectiveness depends critically on the stage in the epidemic in which it is employed. Reducing the number of heavy users in the early stages of an epidemic can be counter-productive if it masks the risks of drug use and, thereby, removes a disincentive to initiation. This strong dependence of an intervention's effectiveness on the state of the dynamic system illustrates the pitfalls of applying a static control policy in a dynamic context.
|Uncontrolled Keywords:||Non-linear dynamic systems; Hopf bifurcation; Illicit drugs|
|Research Programs:||World Population (POP)|
|Bibliographic Reference:||Mathematical Biosciences; 159(1):1-20 (June 1999)|
|Depositing User:||IIASA Import|
|Date Deposited:||15 Jan 2016 02:10|
|Last Modified:||29 Aug 2016 13:09|
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