Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study

Health Place. 2019 Nov:60:102215. doi: 10.1016/j.healthplace.2019.102215. Epub 2019 Oct 3.

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.

Keywords: Community-based system dynamics; Diet; Group model building; Latin America; Transport.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cities / statistics & numerical data
  • Humans
  • Latin America / epidemiology
  • Models, Statistical
  • Residence Characteristics / statistics & numerical data*
  • Systems Analysis
  • Urban Health / statistics & numerical data*