title: Understanding diabetes population dynamics through simulation modeling and experimentation.
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.
authors.affiliation: Division of Diabetes Translation, Centers for Disease Control and Prevention, Mail Stop K-10, 4770 Buford Hwy, Atlanta, GA 30341, USA.
authors.forename: Andrew P
authors.initials: AP
authors.lastname: Jones
authors.forename: Jack B
authors.initials: JB
authors.lastname: Homer
authors.forename: Dara L
authors.initials: DL
authors.lastname: Murphy
authors.forename: Joyce D K
authors.initials: JD
authors.lastname: Essien
authors.forename: Bobby
authors.initials: B
authors.lastname: Milstein
authors.forename: Donald A
authors.initials: DA
authors.lastname: Seville
mesh_terms: D048909:Diabetes Complications / Q000453:epidemiology / Q000517:prevention & control; D003920:Diabetes Mellitus / Q000453:epidemiology* / Q000628:therapy; D006801:Humans; D015233:Models, Statistical; D009765:Obesity / Q000150:complications; D011157:Population Dynamics; D011236:Prediabetic State / Q000175:diagnosis