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Activity Number:
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355
- Contributed Poster Presentations: Section on Bayesian Statistical Science
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #325421
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Title:
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Geographic Patterns of Diabetes Prevalence in the United States, NHIS (2006 - 2012)
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Author(s):
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Diba Khan* and Rong Wei and Yulei He and HeeChoon Shin
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Companies:
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CDC and NCHS / CDC and National Center for Health Statistics and CDC
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Keywords:
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Bayesian ;
Hierarchical ;
MCMC
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Abstract:
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Over the past several years, the diabetes prevalence has been a major source of concern in the U.S. Geographic variation in diabetes prevalence at the county level has been explored recently with the BRFSS data. The geographic variation at state level has not been explored with the NHIS data. We used NHIS data from 2006-2012 to explore spatial variation in diabetes prevalence at the state level. Small area estimation methods are used to predict diabetes prevalence estimates at the state level. Results may help identify US states and counties in which the prevalence of diabetes is in excess of the national prevalence, and highlight areas of significantly high or low diabetes prevalence. This research will help inform policies and programs focusing on prevention of diabetes.
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Authors who are presenting talks have a * after their name.
