The Use of Simulation Models for the Surveillance, Justification and Understanding of Tobacco Control Policies
dc.contributor.author | Levy, David T. | en_US |
dc.contributor.author | Chaloupka, Frank | en_US |
dc.contributor.author | Gitchell, Joseph | en_US |
dc.contributor.author | Mendez, David | en_US |
dc.contributor.author | Warner, Kenneth E. | en_US |
dc.date.accessioned | 2006-09-11T16:29:39Z | |
dc.date.available | 2006-09-11T16:29:39Z | |
dc.date.issued | 2002-04 | en_US |
dc.identifier.citation | Levy, David T.; Chaloupka, Frank; Gitchell, Joseph; Mendez, David; Warner, Kenneth E.; (2002). "The Use of Simulation Models for the Surveillance, Justification and Understanding of Tobacco Control Policies." Health Care Management Science 5(2): 113-120. <http://hdl.handle.net/2027.42/45808> | en_US |
dc.identifier.issn | 1386-9620 | en_US |
dc.identifier.issn | 1572-9389 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45808 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=11993746&dopt=citation | en_US |
dc.description.abstract | Debates over national tobacco legislation and the use of state settlement funds demonstrate a need for information on the effects of tobacco control policies. Computer simulation models that are based on empirical evidence and that account for the variety of influences on tobacco use can be useful tools for informing policy makers. They can identify the effects of different policies, convey the importance of policy approaches to tobacco control, and help policy planners and researchers to better understand policies. This paper examines the role of simulation models in public policy, and discusses several recent models and limitations of those models. | en_US |
dc.format.extent | 101375 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Public Health/Gesundheitswesen | en_US |
dc.subject.other | Economic Policy | en_US |
dc.subject.other | Public Finance & Economics | en_US |
dc.subject.other | Finance /Banking | en_US |
dc.title | The Use of Simulation Models for the Surveillance, Justification and Understanding of Tobacco Control Policies | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, MI, USA | en_US |
dc.contributor.affiliationum | University of Michigan, MI, USA | en_US |
dc.contributor.affiliationother | Pacific Institute for Research and Evaluation, University of Baltimore, 14403 Sylvan Glade Dr. N. Potomac, Maryland, 20878, MD, USA | en_US |
dc.contributor.affiliationother | University of Illinois, Chicago, IL, USA | en_US |
dc.contributor.affiliationother | Pinney Associates, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 11993746 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45808/1/10729_2004_Article_397026.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1014476916361 | en_US |
dc.identifier.source | Health Care Management Science | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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