geographic information systems

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Sick Individuals and Sick Populations

The article by Lederman et al. discusses an epidemiological investigation of mortality from diseases of the circulatory, respiratory, and endocrine systems, as well as neoplasms, in the São Paulo Metropolitan Region (SPMR), analyzed using geoprocessing.

It is noteworthy that the study combined a database of over 1.3 million hospital records from a tertiary hospital with state mortality records through deterministic linkage. In other words, identical variables from the same patient present in the different databases were used to combine them, allowing for the tracking of long-term outcomes of patients frequently lost to care after hospital discharge.

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Spatial analysis of hospitalization for heart diseases in Vale do Paraíba

Paula A. Soares et al. Luiz Fernando C. Nascimento

BACKGROUND: Ischemic heart diseases (IHD) are important causes of death in the Vale do Paraíba paulista. OBJECTIVE: To identify patterns of spatial distribution of hospitalizations for acute myocardial infarction (AMI) and IHD in the Vale do Paraíba paulista. METHODS: This was an ecological study using exploratory spatial analysis of hospitalization data for acute myocardial infarction and ischemic heart disease in the Vale do Paraíba between 2004 and 2005. The statistical analysis used spatial georeferenced databases of 35 municipalities and spatial statistics routines. The admission data were obtained from the Portal Datasus of the Ministry of Health. The variables were the number of admissions for males and females aged over 30 years. To evaluate the spatial dependence we used the autocorrelation coefficients of Global Moran and Local Moran’s index. We also analyzed the correlations between variables, using the TerraView program. The level of significance was 5%. RESULTS: Among 6,287 admissions, the rates were 161.66/100 thousand. Of the total of 35 municipalities, 31.4% had rates above average. The coefficient of Moran (global) showed a statistical significance. Local indexes showed clusters, indicating a cluster of 9 municipalities in which there was spatial dependence with their own dynamics. CONCLUSION: In the mid Vale do Paraíba paulista, the spatial analysis identified spatial clusters of hospitalizations due to acute myocardial infarction and ischemic heart disease, allowing intervention to reduce rates. (Arq Bras Cardiol 2007;88(6):624-628)

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Sick Individuals and Sick Populations

Spatial analysis of hospitalization for heart diseases in Vale do Paraíba

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Electronic Document Format (Vancouver)

Electronic Document Format (ABNT)

Electronic Document Format (APA)

Electronic Document Format (ISO)