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

Abstract

Although previous empirical studies have shown that tobacco control policies are effective at reducing smoking rates, such studies have proven of limited effectiveness in distinguishing how the effect of policies depend on the other policies in place, the length of adjustment period, the way the policy is implemented, and the demographic groups considered. An alternative and complementary approach to purely statistical equations is simulation models. We describe the SimSmoke simulation model and how we used it to assess tobacco control policy in a specific case study. Simulation models are not only useful for policy prediction and planning but also may help to broaden our understanding of the role of different public health policies within a complex, dynamic social system.

0204020072008200920102011201220132014201520162017
Citations per Year

169 Citations

Semantic Scholar estimates that this publication has 169 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Levy2006SimulationMA, title={Simulation modeling and tobacco control: creating more robust public health policies.}, author={David Theodore Levy and Joseph E. Bauer and Hye-ryeon Lee}, journal={American journal of public health}, year={2006}, volume={96 3}, pages={494-8} }