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首页> 外文期刊>Health & place >Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
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Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study

机译：利用基于社区的系统动力学建模，了解影响城市健康的复杂系统：Salurbal研究

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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 CB SD 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.
机译：我们讨论了协作过程的设计，实施和结果，旨在阐明拉丁美洲城市的食物行为，运输和健康的复杂系统，并建立系统思维和基于社区的系统动态（CBSD）方法的能力 不同的研究团队成员和利益攸关方。 在三个CB SD研讨会期间，来自10个拉丁美洲国家的62名利益攸关方确定了98个变量和一系列反馈循环，塑造了食物行为，运输和健康以及52个杆杆。 我们的研究结果表明，CBSD可以参与当地利益相关者，帮助他们通过复杂系统的镜头来看待问题，并利用他们的见解来确定研究努力和确定考虑复杂机制的新型解决方案。

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