TY - JOUR
T1 - Building a Data Platform for Cross-Country Urban Health Studies
T2 - the SALURBAL Study
AU - The SALURBAL Group
AU - Quistberg, D. Alex
AU - Diez Roux, Ana V.
AU - Bilal, Usama
AU - Moore, Kari
AU - Ortigoza, Ana
AU - Rodriguez, Daniel A.
AU - Sarmiento, Olga L.
AU - Frenz, Patricia
AU - Friche, Amélia Augusta
AU - Caiaffa, Waleska Teixeira
AU - Vives, Alejandra
AU - Miranda, J. Jaime
AU - Alazraqui, Marcio
AU - Spinelli, Hugo
AU - Guevel, Carlos
AU - Di Cecco, Vanessa
AU - Tisnés, Adela
AU - Leveau, Carlos
AU - Santoro, Adrián
AU - Herkovits, Damián
AU - Gouveia, Nelson
AU - Barreto, Mauricio
AU - Santos, Gervásio
AU - Cardoso, Leticia
AU - de Menezes, Mariana Carvalho
AU - de Pina, Maria de Fatima
AU - de Lima Friche, Amélia Augusta
AU - de Souza Andrade, Amanda Cristina
AU - Alfaro, Tania
AU - Córdova, Cynthia
AU - Ruiz, Pablo
AU - Fuentes, Mauricio
AU - Vergara, Alejandra Vives
AU - Salazar, Alejandro
AU - Cortinez-O’ryan, Andrea
AU - Schmitt, Cristián
AU - Gonzalez, Francisca
AU - Baeza, Fernando
AU - Angelini, Flavia
AU - Dueñas, Olga Lucía Sarmiento
AU - Higuera, Diana
AU - González, Catalina
AU - Montes, Felipe
AU - Useche, Andres F.
AU - Guaje, Oscar
AU - Jaramillo, Ana Maria
AU - Guzmán, Luis Angel
AU - Hessel, Philipp
AU - Lucumi, Diego
AU - Langellier, Brent
N1 - Publisher Copyright:
© 2018, The Author(s).
PY - 2019/4/15
Y1 - 2019/4/15
N2 - 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.
AB - 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.
KW - Built environment
KW - Cities
KW - Health Survey
KW - Latin America
KW - Mortality
KW - Multilevel Models
KW - Social Environment
KW - Urban health
UR - http://www.scopus.com/inward/record.url?scp=85057120882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057120882&partnerID=8YFLogxK
U2 - 10.1007/s11524-018-00326-0
DO - 10.1007/s11524-018-00326-0
M3 - Article
C2 - 30465261
AN - SCOPUS:85057120882
SN - 1099-3460
VL - 96
SP - 311
EP - 337
JO - Journal of Urban Health
JF - Journal of Urban Health
IS - 2
ER -