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Authordc.contributor.authorQuistberg, D. Alex 
Authordc.contributor.authorDiez Roux, Ana V. 
Authordc.contributor.authorBilal, Usama 
Authordc.contributor.authorMoore, Kari 
Authordc.contributor.authorOrtigoza, Ana 
Authordc.contributor.authorRodriguez, Daniel A. 
Authordc.contributor.authorSarmiento, Olga L. 
Authordc.contributor.authorFrenz, Patricia 
Authordc.contributor.authorFriche, Amélia Augusta 
Authordc.contributor.authorCaiaffa, Waleska Teixeira 
Authordc.contributor.authorVives, Alejandra 
Authordc.contributor.authorMiranda, J. Jaime 
Authordc.contributor.authorAlazraqui, Marcio 
Authordc.contributor.authorSpinelli, Hugo 
Authordc.contributor.authorGuevel 
Admission datedc.date.accessioned2019-10-11T17:31:25Z
Available datedc.date.available2019-10-11T17:31:25Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationJournal of Urban Health, Volumen 96, Issue 2, 2019, Pages 311-337
Identifierdc.identifier.issn14682869
Identifierdc.identifier.issn10993460
Identifierdc.identifier.other10.1007/s11524-018-00326-0
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171373
Abstractdc.description.abstract© 2018, The Author(s).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 neigh
Lenguagedc.language.isoen
Publisherdc.publisherSpringer Science and Business Media Deutschland GmbH
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceJournal of Urban Health
Keywordsdc.subjectBuilt environment
Keywordsdc.subjectCities
Keywordsdc.subjectHealth Survey
Keywordsdc.subjectLatin America
Keywordsdc.subjectMortality
Keywordsdc.subjectMultilevel Models
Keywordsdc.subjectSocial Environment
Keywordsdc.subjectUrban health
Títulodc.titleBuilding a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study
Document typedc.typeArtículo de revista
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile