Abstract Details
Activity Number:
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672
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 8, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Social Statistics Section
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Abstract - #310383 |
Title:
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A Population Dynamic Model for Smoking Prevalence, Mortality Prediction
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Author(s):
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Tom Lu*+
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Companies:
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FDA/CTP
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Keywords:
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population ;
dynamic model ;
tobacco control
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Abstract:
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To better understand the dynamic of smoking prevalence and mortality, we develop a population dynamic model to simulate the dynamic behavior of smoking. Our model can follow the transition between various populations, i.e. smoker, former smoker and never smoker, tailored to races, age groups, gender etc. A simulation study using published data as input for transition probabilities shows that the model prediction is consistent with existing data. We use the model to predict smoking prevalence and mortality under a few scenarios. Our model demonstrates a promising tool to help control smoking prevalence and mortality.
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Authors who are presenting talks have a * after their name.
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