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

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Arquivos
art_LANGELLIER_Using_communitybased_system_dynamics_modeling_to_understand_the_2019.PDF (666.03 KB)
Citações na Scopus
44
Tipo de produção
article
Data de publicação
2019
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCI LTD
Autores
LANGELLIER, Brent A.
KUHLBERG, Jill A.
BALLARD, Ellis A.
SLESINSKI, S. Claire
STANKOV, Ivana
MEISEL, Jose D.
KROKER-LOBOS, Maria F.
SARMIENTO, Olga L.
CAIAFFA, Waleska Teixeira
Autor de Grupo de pesquisa
SALURBAL Grp
Citação
HEALTH & PLACE, v.60, article ID 102215, 12p, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
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.
Palavras-chave
Latin America, Diet, Transport, Community-based system dynamics, Group model building
URI
https://observatorio.fm.usp.br/handle/OPI/34504
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MPR
Artigos e Materiais de Revistas Científicas - LIM/39