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System Dynamics Modeling for Public Health: Background and Opportunities

American Journal of Public Health · 2006 · Vol. 96(3) · pp. 452–458
Jack HomerGary Hirsch

Abstract

The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics modeling of chronic disease prevention should seek to incorporate all the basic elements of a modern ecological approach, including disease outcomes, health and risk behaviors, environmental factors, and health-related resources and delivery systems. System dynamics shows promise as a means of modeling multiple interacting diseases and risks, the interaction of delivery systems and diseased populations, and matters of national and state policy.

Public Health Policies and EducationHealth Systems, Economic Evaluations, Quality of LifeHealth Policy Implementation ScienceSystem dynamicsPublic healthDynamics (music)Risk analysis (engineering)Computer scienceHealth policyManagement scienceDiseaseEnvironmental healthMedicine

MeSH terms

Chronic DiseaseComputer SimulationHumansPreventive Health ServicesPublic Health AdministrationSystems TheoryUnited States
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962
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Cited by
Learning from Evidence in a Complex World
American Journal of Public Health · 2006 · 955 citations
References
Group Model Building: Facilitating Team Learning Using System Dynamics
Journal of the Operational Research Society · 1998 · 1,055 citations
Learning from Evidence in a Complex World
American Journal of Public Health · 2006 · 955 citations
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