Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12313/1644
Title: Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
Authors: Langellier, Brent A.
Kuhlberg, Jill A.
Ballard, Ellis A.
Slesinski, S. Claire
Stankov, Ivana
Gouveia, Nelson
Meisel, Jose D.
Kroker, Fernanda
Sarmiento, Olga L.
Teixeira Caiaffa, Waleska
Diez Roux, Ana
Keywords: Latin America
Diet
Transport
Community-based system dynamics
Group model building
Issue Date: 3-Oct-2019
Publisher: Health & Place
Citation: Langellier, Brent & Kuhlberg, Jill & Ballard, Ellis & Slesinski, s & Stankov, Ivana & Gouveia, Nelson & Meisel, Jose & Kroker, Fernanda & Sarmiento, Olga & Caiaffa, Waleska & Diez Roux, Ana. (2019). Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study. Health & place. 60. 102215. 10.1016/j.healthplace.2019.102215.
Abstract: We discuss the design, implementation, and results of a collaborative process designed to elucidate the complex systems that drive food behaviors, transport, and health in Latin American cities and to build capacity for systems thinking and community-based system dynamics (CBSD) methods among diverse research team members and stakeholders. During three CBSD workshops, 62 stakeholders from 10 Latin American countries identified 98 variables and a series of feedback loops that shape food behaviors, transportation and health, along with 52 policy levers. Our findings suggest that CBSD can engage local stakeholders, help them view problems through the lens of complex systems and use their insights to prioritize research efforts and identify novel solutions that consider mechanisms of complexity.
URI: https://hdl.handle.net/20.500.12313/1644
ISSN: 1353-8292
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