TY  - JOUR
AU  - Hennessy, Erin
AU  - Ornstein, Joseph T.
AU  - Economos, Christina D.
AU  - Herzog, Julia Bloom
AU  - Lynskey, Vanessa
AU  - Coffield, Edward
PY  - 2016
TI  - Designing an Agent-Based Model for Childhood Obesity Interventions: A Case Study of ChildObesity180
T2  - Preventing Chronic Disease
JO  - Prev Chronic Dis
SP  - E04
VL  - 13
CY  - Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
N2  - Complex systems modeling can provide useful insights when designing and anticipating the impact of public health interventions. We developed an agent-based, or individual-based, computation model (ABM) to aid in evaluating and refining implementation of behavior change interventions designed to increase physical activity and healthy eating and reduce unnecessary weight gain among school-aged children. The potential benefits of applying an ABM approach include estimating outcomes despite data gaps, anticipating impact among different populations or scenarios, and exploring how to expand or modify an intervention. The practical challenges inherent in implementing such an approach include data resources, data availability, and the skills and knowledge of ABM among the public health obesity intervention community. The aim of this article was to provide a step-by-step guide on how to develop an ABM to evaluate multifaceted interventions on childhood obesity prevention in multiple settings. We used data from 2 obesity prevention initiatives and public-use resources. The details and goals of the interventions, overview of the model design process, and generalizability of this approach for future interventions is discussed.
SN  - 1545-1151
UR  - http://dx.doi.org/10.5888/pcd13.150414
DO  - 10.5888/pcd13.150414
ER  - 
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