Agent-Based Modeling of Chronic Diseases: A Narrative Review and Future Research Directions.

Abstract:

: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.

journal_name

Prev Chronic Dis

authors

Li Y,Lawley MA,Siscovick DS,Zhang D,Pagán JA

doi

10.5888/pcd13.150561

subject

Has Abstract

pub_date

2016-05-26 00:00:00

pages

E69

issn

1545-1151

pii

E69

journal_volume

13

pub_type

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