Show simple item record

dc.contributor.authorAlexandre Dias Porto Chiavegatto Filho
dc.contributor.authorGotlieb, Sabina Léa Davidson
dc.contributor.authorde Almeida, Samuel Luna
dc.contributor.authorKawachi, Ichiro
dc.contributor.authorChiavegatto Filho, Alexandre
dc.contributor.authorGotlieb, Sabina
dc.contributor.authorAlmeida, Samuel
dc.contributor.authorKawachi, Ichiro
dc.date.accessioned2019-08-30T11:20:30Z
dc.date.issued2013
dc.identifier.citationChiavegatto Filho, Alexandre Dias Porto, Sabina Léa Davidson Gotlieb, Samuel Luna de Almeida, and Ichiro Kawachi. 2013. “Como Incluir Características Dos Distritos Do Município de São Paulo Em Estudos Epidemiológicos?: Análise Da Desigualdade de Renda Pelo Uso Do Propensity Score Matching.” Saúde E Sociedade 22 (4): 1145–53. https://doi.org/10.1590/s0104-12902013000400016.
dc.identifier.issn0104-1290
dc.identifier.issn1984-0470
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41288320*
dc.description.abstractObjectives. The spatial pattern of income distribution in the Municipality of Sao Paulo, considered to be of a "radial" type, has been challenged by recent studies due to the complex distribution of social and demographic characteristics between its distritos. This demands an in-depth analysis that takes into consideration a multitude of variables in order to control for local heterogeneity. This study aims to identify the distritos of Sao Paulo that can be defined as "comparable" to another one, by using a statistical methodology known as propensity score matching. Methodology. The 96 distritos of the Municipality of Sao Paulo were analyzed separately. 16 variables were included in the model, and the Gini coefficient was used to define "exposure" (high inequality) and "non-exposure" (low inequality). Of the distritos, 27 were considered "comparable". Results. Of the 16 variables inserted in the model, nine presented a statistically significant difference between included and excluded distritos, which is expected by this methodology. Of the 17 pairs of distritos considered to be comparable, only three were composed of distritos situated in the same administrative region, and only one was composed of bordering distritos. Conclusion. The complex spatial distribution of the propensity score in the Municipality of Sao Paulo indicates that it is very difficult to divide the city according to its geographical regions. In order to understand how the distritos of Sao Paulo affect the health of its residents, it is important to take into consideration its many particularities and how they are spatially distributed.
dc.language.isopt
dash.licenseMETA_ONLY
dc.titleHow to include the characteristics of the distritos of the Municipality of São Paulo in epidemiologic studies?: an income inequality analysis using the propensity score matching approach
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalSaúde e Sociedade
dash.depositing.authorKawachi, Ichiro::3b17e788dad605ac69e3dd457b6c41ac::600
dc.date.available2019-08-30T11:20:30Z
dash.workflow.comments1Science Serial ID 85499
dc.identifier.doi10.1590/S0104-12902013000400016
dash.source.volume22;4
dash.source.page1145-1153


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record