The use of Geographic Information Systems (GIS) in the study of health inequalities. Its application in North-Eastern Argentina

María Alejandra Fantin, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
Norma Cristina Meichtry, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)

This paper shows the importance and usefulness of working with multivariated analysis and quantitative techniques to build spaces that serve as models of socio-spatial behavior. The implementation of this model requires the consideration of different variables that define socio-demographic attributes (age, sex, living conditions), population (distribution, density, mobility), availability of health services and the analysis of health indicators (mortality, life expectancy, etc.). This model is useful in the analysis of the population health conditions in connection with their demographic, social, economic features and the availability of the existing medical and professional equipment, in the establishment of the main determinants of the health inequalities and in the development of a classification of spaces with homogeneous characteristics in order to provide information for policy development improve the population health conditions.

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Presented in Poster Session 4: Health and ageing