Literature DB >> 7061170

A systems view of the smoking problem: perspective and limitations of the role of science in decision-making.

E B Roberts, J Homer, A Kasabian, M Varrell.   

Abstract

The complex issues and relationships surrounding the smoking problem indicate the desirability of a system dynamics computer simulation model for policy development and analysis. This paper describes an initial model-building effort, including reports of initial policy and sensitivity testing of the model. The lack of scientific research on most of the relationships and parameters required in such a model forced heavy reliance upon intuition in the model development. The sensitivity of simulated model outcomes to many of these assumptions demonstrates the need for a more concentrated multi-disciplinary research effort if forecasting and policy determination are to be carried out with confidence.

Mesh:

Year:  1982        PMID: 7061170     DOI: 10.1016/0020-7101(82)90051-4

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  6 in total

1.  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

2.  System dynamics modeling for public health: background and opportunities.

Authors:  Jack B Homer; Gary B Hirsch
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

3.  Understanding social forces involved in diabetes outcomes: a systems science approach to quality-of-life research.

Authors:  David W Lounsbury; Gary B Hirsch; Chawntel Vega; Carolyn E Schwartz
Journal:  Qual Life Res       Date:  2013-09-24       Impact factor: 4.147

4.  Simulating patterns of patient engagement, treatment adherence, and viral suppression: a system dynamics approach to evaluating HIV care management.

Authors:  David W Lounsbury; Brian Schwartz; Anton Palma; Arthur Blank
Journal:  AIDS Patient Care STDS       Date:  2015-01       Impact factor: 5.078

5.  Simulating the impact of long-term care policy on family eldercare hours.

Authors:  John P Ansah; David B Matchar; Sean R Love; Rahul Malhotra; Young Kyung Do; Angelique Chan; Robert Eberlein
Journal:  Health Serv Res       Date:  2013-01-24       Impact factor: 3.402

6.  Application of a system dynamics model to inform investment in smoking cessation services in New Zealand.

Authors:  Martin I Tobias; Robert Y Cavana; Ashley Bloomfield
Journal:  Am J Public Health       Date:  2010-05-13       Impact factor: 9.308

  6 in total

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