AJPH
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


AJPH First Look, published online ahead of print Jan 31, 2006
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
AJPH.2005.063529v1
96/3/488    most recent
Right arrow Submit a response
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (6)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jones, A. P.
Right arrow Articles by Seville, D. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Jones, A. P.
Right arrow Articles by Seville, D. A.
Related Collections
Right arrow Obesity, Overweight, Underweight
Right arrow Social Science
Right arrow Diabetes
Right arrow Other Chronic Disease
Right arrow Prevention
March 2006, Vol 96, No. 3 | American Journal of Public Health 488-494
© 2006 American Public Health Association
DOI: 10.2105/AJPH.2005.063529


OPPORTUNITIES AND DEMANDS IN PUBLIC HEALTH SYSTEMS

Understanding Diabetes Population Dynamics Through Simulation Modeling and Experimentation

Andrew P. Jones, MS, Jack B. Homer, PhD, Dara L. Murphy, MPH, Joyce D. K. Essien, MD, MBA, Bobby Milstein, MPH and Donald A. Seville, MS

Dara L. Murphy is with the Division of Diabetes Translation, Joyce D. K. Essien is with the Division of Public Health Partnerships, and Bobby Milstein is with the Division of Adult and Community Health, Centers for Disease Control and Prevention, Atlanta, Ga. Joyce D. K. Essien is also with the Center for Public Health Practice at the Rollins School of Public Health, Emory University, Atlanta. Jack B. Homer is with Homer Consulting, Voorhees, NJ. Andrew P. Jones and Donald A. Seville are with the Sustainability Institute, Asheville, NC, and Hartland, VT, respectively.

Correspondence: Requests for reprints should be sent to Dara L. Murphy or Kimbelian Barnes, Division of Diabetes Translation, Centers for Disease Control and Prevention, Mail Stop K-10, 4770 Buford Hwy, Atlanta, GA 30341 (e-mail: dlm1{at}cdc.gov; kbarnes1{at}cdc.gov).

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.




This article has been cited by other articles:


Home page
Ann Fam MedHome page
L. M. Candib
Obesity and Diabetes in Vulnerable Populations: Reflection on Proximal and Distal Causes
Ann. Fam. Med, November 1, 2007; 5(6): 547 - 556.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Public HealthHome page
J. D. Sterman
Learning from Evidence in a Complex World
Am J Public Health, March 1, 2006; 96(3): 505 - 514.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the American Public Health Association