Format

Send to

Choose Destination
Am J Public Health. 2006 Mar;96(3):494-8. Epub 2006 Jan 31.

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

Author information

1
11710 Beltsville Drive, Suite 300, Calverton, MD 20705. levy @pire.org.

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.

PMID:
16449585
PMCID:
PMC1470526
DOI:
10.2105/AJPH.2005.063974
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Atypon Icon for PubMed Central
Loading ...
Support Center