TY - JOUR
T1 - Agent-based modeling of chronic diseases
T2 - A narrative review and future research directions
AU - Li, Yan
AU - Lawley, Mark A.
AU - Siscovick, David S.
AU - Zhang, Donglan
AU - Pagán, José A.
N1 - Funding Information:
This work was partly supported by a grant from the Robert Wood Johnson Foundation (Grant # 72516). We thank Steven Teutsch, MD, MPH, for his constructive comments and article review.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions.
AB - The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions.
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U2 - 10.5888/pcd13.150561
DO - 10.5888/pcd13.150561
M3 - Article
C2 - 27236380
AN - SCOPUS:84971572372
SN - 1545-1151
VL - 13
JO - Preventing Chronic Disease
JF - Preventing Chronic Disease
IS - 5
M1 - 150561
ER -