Linked Life Data

15717816

Source:http://linkedlifedata.com/resource/pubmed/id/15717816

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-2-18
pubmed:abstractText
Everingham and Rydell's 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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1386-9620
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
319-29
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Markov chain modeling of initiation and demand: the case of the U.S. cocaine epidemic.
pubmed:affiliation
Carnegie Mellon University, H. John Heinz III School of Public Policy Management, 5000 Forbes Ave., Pittsburgh, PA 15213, USA. caulkins@andrew.cmu.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't