Literature DB >> 11993746

The use of simulation models for the surveillance, justification and understanding of tobacco control policies.

David T Levy1, Frank Chaloupka, Joseph Gitchell, David Mendez, Kenneth E Warner.   

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.

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Year:  2002        PMID: 11993746     DOI: 10.1023/a:1014476916361

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  19 in total

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Journal:  Prev Med       Date:  2001-03       Impact factor: 4.018

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Journal:  Tob Control       Date:  2000-03       Impact factor: 7.552

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Journal:  Tob Control       Date:  2001-06       Impact factor: 7.552

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6.  Smoking prevalence in 2010: why the healthy people goal is unattainable.

Authors:  D Mendez; K E Warner
Journal:  Am J Public Health       Date:  2000-03       Impact factor: 9.308

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Journal:  Am J Epidemiol       Date:  1998-08-01       Impact factor: 4.897

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Journal:  Tob Control       Date:  1997       Impact factor: 7.552

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  24 in total

1.  Behavioral medicine and the health of our nation: accelerating our impact.

Authors:  Karen Emmons
Journal:  Ann Behav Med       Date:  2012-04

2.  Computational modeling and multilevel cancer control interventions.

Authors:  Joseph P Morrissey; Kristen Hassmiller Lich; Rebecca Anhang Price; Jeanne Mandelblatt
Journal:  J Natl Cancer Inst Monogr       Date:  2012-05

3.  Exploring scenarios to dramatically reduce smoking prevalence: a simulation model of the three-part cessation process.

Authors:  David T Levy; Patricia L Mabry; Amanda L Graham; C Tracy Orleans; David B Abrams
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

4.  Systems science: a revolution in public health policy research.

Authors:  Patricia L Mabry; Stephen E Marcus; Pamela I Clark; Scott J Leischow; David Méndez
Journal:  Am J Public Health       Date:  2010-07       Impact factor: 9.308

5.  Reaching Healthy People 2010 by 2013: A SimSmoke simulation.

Authors:  David T Levy; Patricia L Mabry; Amanda L Graham; C Tracy Orleans; David B Abrams
Journal:  Am J Prev Med       Date:  2010-03       Impact factor: 5.043

6.  Increasing taxes to reduce smoking prevalence and smoking attributable mortality in Taiwan: results from a tobacco policy simulation model.

Authors:  D T Levy; C P Wen; T Y Chen; M Oblak
Journal:  Tob Control       Date:  2005-06       Impact factor: 7.552

7.  Simulation modeling and tobacco control: creating more robust public health policies.

Authors:  David T Levy; Joseph E Bauer; Hye-Ryeon Lee
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

8.  Simulating staffing needs for surgical instrument distribution in hospitals.

Authors:  Arun Kumar; Sung J Shim
Journal:  J Med Syst       Date:  2006-10       Impact factor: 4.460

9.  A systems approach to college drinking: development of a deterministic model for testing alcohol control policies.

Authors:  Richard Scribner; Azmy S Ackleh; Ben G Fitzpatrick; Geoffrey Jacquez; Jeremy J Thibodeaux; Robert Rommel; Neal Simonsen
Journal:  J Stud Alcohol Drugs       Date:  2009-09       Impact factor: 2.582

10.  High-resolution behavioral economic analysis of cigarette demand to inform tax policy.

Authors:  James MacKillop; Lauren R Few; James G Murphy; Lauren M Wier; John Acker; Cara Murphy; Monika Stojek; Maureen Carrigan; Frank Chaloupka
Journal:  Addiction       Date:  2012-07-30       Impact factor: 6.526

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