Association between meteorological variables, climate index, socioeconomic factors and mortality from circulatory system diseases (stroke and pulmonary embolism) in São Paulo - SP

• Grant number: 14/01932-7
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: June 02, 2014
• End date: November 01, 2014
• Field of knowledge: Humanities - Geography
• Principal Investigator: Ligia Vizeu Barrozo
• Grantee: Priscilla Venâncio Ikefuti
• Supervisor: Christopher Small
• Host Institution: Faculdade de Filosofia, Letras e Ciências Humanas (FFLCH). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Institution abroad: Columbia University in the City of New York, United States
• Associated to the scholarship: 12/15085-9 - Association between meteorological variables, climate index, socioeconomic factors and mortality from circulatory system diseases (stroke and pulmonary embolism) in São Paulo - SP, BP.DR

Abstract

Several studies have suggested that green spaces present within the neighborhoods have a positive association with physical activity. The association between green areas and chronic diseases such as cardiovascular and respiratory diseases has also been studied, although this relationship is not well established. Thus the aim of this study is to investigate the influence of geographical context (green spaces, topography and socioeconomic factors) in mortality from cardiovascular diseases (stroke) in São Paulo in the period 2006-2008. We will use geocoded epidemiologic data from 2006 to 2009 which the basic cause of death was stroke (I60 to I69, according to the International Classification of Diseases and Deaths - ICD-10). These geocoded data are available by census block and will be aggregated by weighting census survey area. The relative risks by weighting area and spatial clusters will be cartographically represented using ArcGIS 10. The calculation of greenness will be measured using Spectral Mixture Analysis (SMA). The fraction of vegetation will be obtained from Landsat images collected during the study period. This additive to the ongoing research will bring recognized important variables to contribute in the explanation of spatial variability in mortality from stroke in São Paulo. (AU)