Modelo basado en SIG para el estudio de la mortalidad por enfermedad cerebro-vascular

During the last 15 years the approach to mortality regarding to one of the three main causes of death worldwide, cerebrovascular disease (CVD), has been characterized by the use of traditional epidemiological approach that incorporates bivariate and multivariate statistical analysis techniques aimed to identify its composition based on individual variables and exploring relationships with its determinants without significantly affect its occurrence, however, in this article is identified as an alternative analysis the spatio temporal modeling with GIS having detailed disaggregation levels; therefore, the comparative analysis of the models used in the known studies, revealed the use of basic data and basic spatial analysis techniques which contribute to produce geographical knowledge and identifying patterns as those evidenced in the diabetes and CVD belts in USA or the colombian cluster identified for circulatory system diseases in the Andean Region, suggesting a similar behavior for CVD. The above scenario requires combining approaches focused on advanced analysis techniques, multi-criteria analysis, kriging, interpolation, spatial-correlation and regression supplied GIS and therefore, we propose a model with an integrated approach aimed to positively affect CVD mortality.

• Autores: Tangarife Villa, Carlos Alberto; Londoño Ciro, Libardo
• Fecha de publicación: 2013
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/6442
• Acceso en línea: http://hdl.handle.net/10819/6442
• Palabra clave: Análisis espacial; Sistemas de Información Geográfica; Patrones de mortalidad; Enfermedad cerebrovascular; ECV; Stroke; Spatial analysis; Geographic information systems; Mortality patterns; Cerebrovascular diseases; CVD; Accidente cerebrovascular
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia