Markov Chain Modeling of Initiation and Demand: The Case of the US Cocaine Epidemic

被引:21
作者
Jonathan P. Caulkins
Doris A. Behrens
Claudia Knoll
Gernot Tragler
Doris Zuba
机构
[1] Carnegie Mellon University,H. John Heinz III School of Public Policy Management
[2] RAND,Department of Operations Research and Systems Theory
[3] Drug Policy Research Center,Department of Economics
[4] Vienna University of Technology,Department of Operations Research and Systems Theory
[5] University of Klagenfurt,undefined
[6] Vienna University of Technology,undefined
关键词
dynamic modeling; drugs; epidemic; cocaine; Markov chains;
D O I
10.1007/s10729-004-7540-4
中图分类号
学科分类号
摘要
Everingham and Rydell’s [1] Markov chain model of cocaine demand is modified and updated in light of recent data. Key insights continue to hold, e.g., that the proportion of cocaine demand stemming from heavy vs. light users changed dramatically over the 1980s. New insights emerge, e.g., pertaining to the average duration of a career of heavy use (about 12 years) and the negative relationship between levels of heavy use and epidemic “infectivity” or the number of new initiates per current user per year. This illustrates how simple modeling can yield insights directly relevant to managing complex drug control policy questions.
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页码:319 / 329
页数:10
相关论文
共 24 条
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[2]  
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[8]  
Behrens D.A.(undefined)undefined undefined undefined undefined-undefined
[9]  
Caulkins J.P.(undefined)undefined undefined undefined undefined-undefined
[10]  
Tragler G.(undefined)undefined undefined undefined undefined-undefined