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Simulation modeling and tobacco control: Creating more robust public health policies

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  • Levy, D.T.
  • Bauer, J.E.
  • Lee, H.-R.

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.

Suggested Citation

  • Levy, D.T. & Bauer, J.E. & Lee, H.-R., 2006. "Simulation modeling and tobacco control: Creating more robust public health policies," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 494-498.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2005.063974_8
    DOI: 10.2105/AJPH.2005.063974
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    Cited by:

    1. David T. Levy & Luz María Sánchez-Romero & Nargiz Travis & Zhe Yuan & Yameng Li & Sarah Skolnick & Jihyoun Jeon & Jamie Tam & Rafael Meza, 2021. "US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths," IJERPH, MDPI, vol. 18(9), pages 1-22, May.
    2. Weiwei Zhang & Thomas Huggins & Wenwen Zheng & Shiyong Liu & Zhanwei Du & Hongli Zhu & Ahmad Raza & Ahmad Hussen Tareq, 2022. "Assessing the Dynamic Outcomes of Containment Strategies against COVID-19 under Different Public Health Governance Structures: A Comparison between Pakistan and Bangladesh," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    3. Levy, David T. & Hyland, Andrew & Higbee, Cheryl & Remer, Lillian & Compton, Christine, 2007. "The role of public policies in reducing smoking prevalence in California: Results from the California Tobacco Policy Simulation Model," Health Policy, Elsevier, vol. 82(2), pages 167-185, July.
    4. Stavroula A Chrysanthopoulou, 2017. "MILC: A Microsimulation Model of the Natural History of Lung Cancer," International Journal of Microsimulation, International Microsimulation Association, vol. 10(3), pages 5-26.

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