Literature DB >> 16449587

Understanding diabetes population dynamics through simulation modeling and experimentation.

Andrew P Jones1, Jack B Homer, Dara L Murphy, Joyce D K Essien, Bobby Milstein, Donald A Seville.   

Abstract

Health planners in the Division of Diabetes Translation and others from the National Center for Chronic Disease Prevention and Health Promotion of the Centers for Disease Control and Prevention used system dynamics simulation modeling to gain a better understanding of diabetes population dynamics and to explore implications for public health strategy. A model was developed to explain the growth of diabetes since 1980 and portray possible futures through 2050. The model simulations suggest characteristic dynamics of the diabetes population, including unintended increases in diabetes prevalence due to diabetes control, the inability of diabetes control efforts alone to reduce diabetes-related deaths in the long term, and significant delays between primary prevention efforts and downstream improvements in diabetes outcomes.

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Mesh:

Year:  2006        PMID: 16449587      PMCID: PMC1470507          DOI: 10.2105/AJPH.2005.063529

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  7 in total

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4.  Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK Prospective Diabetes Study Group.

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6.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

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Review 7.  Translating the science of primary, secondary, and tertiary prevention to inform the public health response to diabetes.

Authors:  Barbara A Bowman; Edward W Gregg; Desmond E Williams; Michael M Engelgau; Leonard Jack
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  7 in total
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Review 8.  The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes.

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