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KMID : 1231220100010020073
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Journal of the Korean Society for Research on Nicotine and Tobacco
2010 Volume.1 No. 2 p.73 ~ p.84
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Comprehension and Application of SimSmoke Model to Predict the Future Smoking Prevalence and Evaluate the Tobacco Control Policies
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Park Susan
Kim Young-Mee
Cho Sung-Il
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Abstract
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SimSmoke is an analytic tool to evaluate the effects of tobacco control policies and to predict smoking prevalence and smoking-attributable deaths in the future. SimSmoke can reflect a wider range of tobacco control policies compared with other simulation models for public health research, and has been successfully applied to several Asian countries, including Korea. In this paper, we provide introduction to the Korean SimSmoke model to help understand the feature of this simulation model and show its application process. SimSmoke consists of three parts: population model, smoking model, and policy model. On the basis of population and smoking prevalence of a baseline year, it predicts future prevalence considering the change of smoking initiation rate and cessation rate according to tobacco control policies. SimSmoke was validated through comparison of smoking prevalence from the model with that from the survey data. To evaluate the effects of each tobacco control policy and comprehensive set of policies, the predicted smoking prevalence of status quo was compared with that of various strengthened policy scenarios. Our results showed that tax was the most effective past policy. If full strengthening of 6 non-tax policies accompanied a tax increase of 6,000￦ in 2008, the goal of Health Plan 2010, i.e., 30% male smoking prevalence, would have been attainable and would save lives about 45,000 from 2008 to 2020. If non-tax policies are fully strengthened with a tax increase of 500￦ per year from 2010 to 2020, the male smoking prevalence would decrease by about 25% in 2020. The Korean SimSmoke enbles us to evaluate the past tobacco control policies and provide evidence for the strengthened policies based on the predicted smoking prevalence and smoking-attributable deaths.
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KEYWORD
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Tobacco control policy, Simulation model, Framework Convention on Tobacco Control
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