Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study

Autores
Quistberg, D. Alex; Diez Roux, Ana V.; Bilal, Usama; Moore, Kari; Ortigoza, Ana; Rodriguez, Daniel A.; Sarmiento, Olga L.; Frenz, Patricia; Friche, Amélia Augusta; Caiaffa, Waleska Teixeira; Vives, Alejandra; Miranda, J. Jaime; Tisnés, Adela; the SALURBAL group
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to “cities,” we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.
Fil: Quistberg, D. Alex. Drexel University; Estados Unidos
Fil: Diez Roux, Ana V.. Drexel University; Estados Unidos
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Moore, Kari. Drexel University; Estados Unidos
Fil: Ortigoza, Ana. Drexel University; Estados Unidos
Fil: Rodriguez, Daniel A.. University of California at Berkeley; Estados Unidos
Fil: Sarmiento, Olga L.. Universidad de los Andes; Colombia
Fil: Frenz, Patricia. Universidad de Chile; Chile
Fil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; Brasil
Fil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; Brasil
Fil: Vives, Alejandra. Pontificia Universidad Católica de Chile; Chile
Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú
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
Materia
URBAN HEALTH
LATIN AMERICA
CITIES
BUILT ENVIRONMENT
SOCIAL ENVIRONMENT
MULTILEVEL MODELS
MORTALITY
HEALTH SURVEY
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:11336/158816

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spelling Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL StudyQuistberg, D. AlexDiez Roux, Ana V.Bilal, UsamaMoore, KariOrtigoza, AnaRodriguez, Daniel A.Sarmiento, Olga L.Frenz, PatriciaFriche, Amélia AugustaCaiaffa, Waleska TeixeiraVives, AlejandraMiranda, J. JaimeTisnés, Adelathe SALURBAL groupURBAN HEALTHLATIN AMERICACITIESBUILT ENVIRONMENTSOCIAL ENVIRONMENTMULTILEVEL MODELSMORTALITYHEALTH SURVEYhttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to “cities,” we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.Fil: Quistberg, D. Alex. Drexel University; Estados UnidosFil: Diez Roux, Ana V.. Drexel University; Estados UnidosFil: Bilal, Usama. Drexel University; Estados UnidosFil: Moore, Kari. Drexel University; Estados UnidosFil: Ortigoza, Ana. Drexel University; Estados UnidosFil: Rodriguez, Daniel A.. University of California at Berkeley; Estados UnidosFil: Sarmiento, Olga L.. Universidad de los Andes; ColombiaFil: Frenz, Patricia. Universidad de Chile; ChileFil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; BrasilFil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; BrasilFil: Vives, Alejandra. Pontificia Universidad Católica de Chile; ChileFil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; PerúFil: 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; ArgentinaSpringer2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158816Quistberg, D. Alex; Diez Roux, Ana V.; Bilal, Usama; Moore, Kari; Ortigoza, Ana; et al.; Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study; Springer; Journal Of Urban Health; 96; 11-2018; 311-3371099-3460CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11524-018-00326-0info:eu-repo/semantics/altIdentifier/doi/10.1007/s11524-018-00326-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:48:09Zoai:ri.conicet.gov.ar:11336/158816instacron: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:34982025-09-03 09:48:09.703CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
title Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
spellingShingle Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
Quistberg, D. Alex
URBAN HEALTH
LATIN AMERICA
CITIES
BUILT ENVIRONMENT
SOCIAL ENVIRONMENT
MULTILEVEL MODELS
MORTALITY
HEALTH SURVEY
title_short Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
title_full Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
title_fullStr Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
title_full_unstemmed Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
title_sort Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
dc.creator.none.fl_str_mv Quistberg, D. Alex
Diez Roux, Ana V.
Bilal, Usama
Moore, Kari
Ortigoza, Ana
Rodriguez, Daniel A.
Sarmiento, Olga L.
Frenz, Patricia
Friche, Amélia Augusta
Caiaffa, Waleska Teixeira
Vives, Alejandra
Miranda, J. Jaime
Tisnés, Adela
the SALURBAL group
author Quistberg, D. Alex
author_facet Quistberg, D. Alex
Diez Roux, Ana V.
Bilal, Usama
Moore, Kari
Ortigoza, Ana
Rodriguez, Daniel A.
Sarmiento, Olga L.
Frenz, Patricia
Friche, Amélia Augusta
Caiaffa, Waleska Teixeira
Vives, Alejandra
Miranda, J. Jaime
Tisnés, Adela
the SALURBAL group
author_role author
author2 Diez Roux, Ana V.
Bilal, Usama
Moore, Kari
Ortigoza, Ana
Rodriguez, Daniel A.
Sarmiento, Olga L.
Frenz, Patricia
Friche, Amélia Augusta
Caiaffa, Waleska Teixeira
Vives, Alejandra
Miranda, J. Jaime
Tisnés, Adela
the SALURBAL group
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv URBAN HEALTH
LATIN AMERICA
CITIES
BUILT ENVIRONMENT
SOCIAL ENVIRONMENT
MULTILEVEL MODELS
MORTALITY
HEALTH SURVEY
topic URBAN HEALTH
LATIN AMERICA
CITIES
BUILT ENVIRONMENT
SOCIAL ENVIRONMENT
MULTILEVEL MODELS
MORTALITY
HEALTH SURVEY
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.9
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to “cities,” we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.
Fil: Quistberg, D. Alex. Drexel University; Estados Unidos
Fil: Diez Roux, Ana V.. Drexel University; Estados Unidos
Fil: Bilal, Usama. Drexel University; Estados Unidos
Fil: Moore, Kari. Drexel University; Estados Unidos
Fil: Ortigoza, Ana. Drexel University; Estados Unidos
Fil: Rodriguez, Daniel A.. University of California at Berkeley; Estados Unidos
Fil: Sarmiento, Olga L.. Universidad de los Andes; Colombia
Fil: Frenz, Patricia. Universidad de Chile; Chile
Fil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; Brasil
Fil: Caiaffa, Waleska Teixeira. Universidade Federal de Minas Gerais; Brasil
Fil: Vives, Alejandra. Pontificia Universidad Católica de Chile; Chile
Fil: Miranda, J. Jaime. Universidad Peruana Cayetano Heredia; Perú
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
description Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to “cities,” we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.
publishDate 2018
dc.date.none.fl_str_mv 2018-11
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/11336/158816
Quistberg, D. Alex; Diez Roux, Ana V.; Bilal, Usama; Moore, Kari; Ortigoza, Ana; et al.; Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study; Springer; Journal Of Urban Health; 96; 11-2018; 311-337
1099-3460
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158816
identifier_str_mv Quistberg, D. Alex; Diez Roux, Ana V.; Bilal, Usama; Moore, Kari; Ortigoza, Ana; et al.; Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study; Springer; Journal Of Urban Health; 96; 11-2018; 311-337
1099-3460
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.1007/s11524-018-00326-0
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
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dc.publisher.none.fl_str_mv Springer
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