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

Autores
Langellier, Brent A.; Kuhlberg, Jill A.; Ballard, Ellis A.; Slesinski, S. Claire; Stankov, Ivana; Gouveia, Nelson; Meisel, Jose D.; Kroker-Lobos, Maria F.; Sarmiento, Olga L.; Caiaffa, Waleska Teixeira; Diez Roux, Ana V.; Tisnés, Adela; the SALURBAL group
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Langellier, Brent A.. Drexel University; Estados Unidos
Fil: Kuhlberg, Jill A.. University of North Carolina; Estados Unidos
Fil: Ballard, Ellis A.. Washington University in St. Louis; Estados Unidos
Fil: Slesinski, S. Claire. Drexel University; Estados Unidos
Fil: Stankov, Ivana. Drexel University; Estados Unidos
Fil: Gouveia, Nelson. Universidade de Sao Paulo; Brasil
Fil: Meisel, Jose D.. Universidad de Ibagué; Colombia
Fil: Kroker-Lobos, Maria F.. Institute of Nutrition of Central America and Panama; Guatemala
Fil: Sarmiento, Olga L.. Universidad de Los Andes; Colombia
Fil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; Brasil
Fil: Diez Roux, Ana V.. Drexel University; Estados Unidos
Fil: Tisnés, Adela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
Fil: the SALURBAL group. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Drexel University; Estados Unidos
Materia
LATIN AMERICA
DIET
TRANSPORT
COMMUNITY-BASED SYSTEM DYNAMICS
GROUP MODEL BUILDING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/160138
Acceder
id CONICETDig_acd5d1e7626462b22164ca3369b61e45
oai_identifier_str oai:ri.conicet.gov.ar:11336/160138
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL studyLangellier, Brent A.Kuhlberg, Jill A.Ballard, Ellis A.Slesinski, S. ClaireStankov, IvanaGouveia, NelsonMeisel, Jose D.Kroker-Lobos, Maria F.Sarmiento, Olga L.Caiaffa, Waleska TeixeiraDiez Roux, Ana V.Tisnés, Adelathe SALURBAL groupLATIN AMERICADIETTRANSPORTCOMMUNITY-BASED SYSTEM DYNAMICSGROUP MODEL BUILDINGhttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5We 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.Fil: Langellier, Brent A.. Drexel University; Estados UnidosFil: Kuhlberg, Jill A.. University of North Carolina; Estados UnidosFil: Ballard, Ellis A.. Washington University in St. Louis; Estados UnidosFil: Slesinski, S. Claire. Drexel University; Estados UnidosFil: Stankov, Ivana. Drexel University; Estados UnidosFil: Gouveia, Nelson. Universidade de Sao Paulo; BrasilFil: Meisel, Jose D.. Universidad de Ibagué; ColombiaFil: Kroker-Lobos, Maria F.. Institute of Nutrition of Central America and Panama; GuatemalaFil: Sarmiento, Olga L.. Universidad de Los Andes; ColombiaFil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; BrasilFil: Diez Roux, Ana V.. Drexel University; Estados UnidosFil: Tisnés, Adela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; ArgentinaFil: the SALURBAL group. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Drexel University; Estados UnidosThe University of Edinburgh2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/160138Langellier, Brent A.; Kuhlberg, Jill A.; Ballard, Ellis A.; Slesinski, S. Claire; Stankov, Ivana; et al.; Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study; The University of Edinburgh; Health & Place; 60; 11-2019; 1-121353-8292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1353829219306070info:eu-repo/semantics/altIdentifier/doi/10.1016/j.healthplace.2019.102215info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:21Zoai:ri.conicet.gov.ar:11336/160138instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:21.578CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
title Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
spellingShingle Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
Langellier, Brent A.
LATIN AMERICA
DIET
TRANSPORT
COMMUNITY-BASED SYSTEM DYNAMICS
GROUP MODEL BUILDING
title_short Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
title_full Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
title_fullStr Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
title_full_unstemmed Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
title_sort Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study
dc.creator.none.fl_str_mv Langellier, Brent A.
Kuhlberg, Jill A.
Ballard, Ellis A.
Slesinski, S. Claire
Stankov, Ivana
Gouveia, Nelson
Meisel, Jose D.
Kroker-Lobos, Maria F.
Sarmiento, Olga L.
Caiaffa, Waleska Teixeira
Diez Roux, Ana V.
Tisnés, Adela
the SALURBAL group
author Langellier, Brent A.
author_facet Langellier, Brent A.
Kuhlberg, Jill A.
Ballard, Ellis A.
Slesinski, S. Claire
Stankov, Ivana
Gouveia, Nelson
Meisel, Jose D.
Kroker-Lobos, Maria F.
Sarmiento, Olga L.
Caiaffa, Waleska Teixeira
Diez Roux, Ana V.
Tisnés, Adela
the SALURBAL group
author_role author
author2 Kuhlberg, Jill A.
Ballard, Ellis A.
Slesinski, S. Claire
Stankov, Ivana
Gouveia, Nelson
Meisel, Jose D.
Kroker-Lobos, Maria F.
Sarmiento, Olga L.
Caiaffa, Waleska Teixeira
Diez Roux, Ana V.
Tisnés, Adela
the SALURBAL group
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LATIN AMERICA
DIET
TRANSPORT
COMMUNITY-BASED SYSTEM DYNAMICS
GROUP MODEL BUILDING
topic LATIN AMERICA
DIET
TRANSPORT
COMMUNITY-BASED SYSTEM DYNAMICS
GROUP MODEL BUILDING
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.9
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv 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.
Fil: Langellier, Brent A.. Drexel University; Estados Unidos
Fil: Kuhlberg, Jill A.. University of North Carolina; Estados Unidos
Fil: Ballard, Ellis A.. Washington University in St. Louis; Estados Unidos
Fil: Slesinski, S. Claire. Drexel University; Estados Unidos
Fil: Stankov, Ivana. Drexel University; Estados Unidos
Fil: Gouveia, Nelson. Universidade de Sao Paulo; Brasil
Fil: Meisel, Jose D.. Universidad de Ibagué; Colombia
Fil: Kroker-Lobos, Maria F.. Institute of Nutrition of Central America and Panama; Guatemala
Fil: Sarmiento, Olga L.. Universidad de Los Andes; Colombia
Fil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; Brasil
Fil: Diez Roux, Ana V.. Drexel University; Estados Unidos
Fil: Tisnés, Adela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
Fil: the SALURBAL group. Universidad Nacional de Lanús. Rectorado. Instituto de Salud Colectiva; Argentina. Drexel University; Estados Unidos
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/160138
Langellier, Brent A.; Kuhlberg, Jill A.; Ballard, Ellis A.; Slesinski, S. Claire; Stankov, Ivana; et al.; Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study; The University of Edinburgh; Health & Place; 60; 11-2019; 1-12
1353-8292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/160138
identifier_str_mv Langellier, Brent A.; Kuhlberg, Jill A.; Ballard, Ellis A.; Slesinski, S. Claire; Stankov, Ivana; et al.; Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study; The University of Edinburgh; Health & Place; 60; 11-2019; 1-12
1353-8292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1353829219306070
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.healthplace.2019.102215
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The University of Edinburgh
publisher.none.fl_str_mv The University of Edinburgh
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614144348651520
score 13.070432

Publicaciones similares