[Environment and health: an analysis of intra-urban differentials in the city of São Paulo, Brazil].
A field study undertaken in the city of S. Paulo is presented as part of the project Environment and Health in Developing Countries: An Analysis of Intra-Urban Differentials Using Existing Data financed by the Ministry of Foreign Affairs of the United Kingdom with academic support from the London School of Hygiene and Tropical Medicine (LSHTM). The research aim was to fill in the gaps in the information needed to establish associations between mortality, urbanization and the environment. Statistics were produced by means of existing data collected by city departments, research carried out by universities and census data. Data quality was assessed taking into consideration data coverage, accuracy, and sensibility to pinpoint deprived areas in the city of S. Paulo. Socioeconomic data were used to create a composite index for districts and subdistrict in order to form four socioeconomic zones. Mortality differentials between the zones by five broad age groups (0-4, 5-14, 15-44, 45-64 e 65+) and four ICD chapters (circulatory, respiratory, infectious and parasitic and external causes) are presented. The zoning used showed that 43.8% of S. Paulo residents live in areas under the worst socioeconomic conditions. Health data demonstrated that people living in this areas had higher rates of mortality then those living in the areas with the best conditions. Finally, excess mortality data are analyzed and suggested as a good method for allocating health resources.
Akerman
M
M
Centro de Estudos de Cultura Contemporânea. São Paulo, Brasil. cedec@eu.amsp.br
Campanario
P
P
Maia
P B
PB
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D001938:Brazil; D002648:Child; D002675:Child, Preschool; D004777:Environment; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D009026:Mortality; D011788:Quality of Life; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data*