ArticleArquivos brasileiros de cardiologia2026
Spatial Distribution of Patients in the Metropolitan Area of São Paulo Attending a Public Tertiary Cardiovascular Referral Hospital According to Diseases of the Circulatory, Respiratory, Endocrine, and Neoplastic Systems.
Article in Arquivos brasileiros de cardiologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Sick Individuals and Sick Populations.Arquivos brasileiros de cardiologia · 2026Article
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Authors and funding
12 authors.
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Abstract
backgroundThe spatial distribution of patients according to clinical characteristics, using geoprocessing techniques, enables the identification of disease clusters within a studied population. This approach supports the development of targeted interventions directed toward specific risk groups.
objectivesTo investigate geographical clusters of diseases of interest among patients attending a public tertiary hospital and to characterize their spatial distribution across the metropolitan area of São Paulo.
methodsBased on the results of a previous study, two disease groups were defined: one representing the main diseases identified at the first hospital visit and another representing the main underlying causes of death. A detailed description is provided in the online supplementary material. Disease density was calculated by dividing the frequency of cases within each disease group by the population of each city/district and multiplying the result by 100,000 to enhance data visualization. Spatial data were subsequently analyzed and mapped to illustrate the spatial patterns and relationships identified in the study.
resultsOsasco and Taboão da Serra showed the highest density of underlying causes of death related to diseases of the circulatory system. Additionally, 12 cities/districts located at the borders of the study area showed no recorded neoplastic diseases.
conclusionsVargem Grande Paulista showed the highest case density for neoplasms as underlying causes of death and comorbidities. Notably, Embu das Artes, a city recognized for its extensive green areas, showed the highest density of diseases of the respiratory system.
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