Understanding diabetes population dynamics through simulation modeling and experimentation

Am J Public Health. 2006 Mar;96(3):488-94. doi: 10.2105/AJPH.2005.063529. Epub 2006 Jan 31.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Diabetes Complications / epidemiology
  • Diabetes Complications / prevention & control
  • Diabetes Mellitus / epidemiology*
  • Diabetes Mellitus / therapy
  • Humans
  • Models, Statistical*
  • Obesity / complications
  • Population Dynamics*
  • Prediabetic State / diagnosis