Título Applying an Evolutionary Algorithm for the Analysis of Mental Disorders in Macro-urban Areas: The Case of Barcelona
Autores SALINAS PÉREZ, JOSÉ ALBERTO, RODERO COSANO, MARÍA LUISA, GARCÍA ALONSO, CARLOS, Salvador-Carulla, Luis, RODERO COSANO, MARÍA LUISA, GARCÍA ALONSO, CARLOS, SALINAS PÉREZ, JOSÉ ALBERTO
Publicación externa No
Medio Spat. Econ. Anal.
Alcance Article
Naturaleza Científica
Cuartil JCR 3
Cuartil SJR 1
Impacto SJR 0.54700
Ámbito Internacional
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939164358&doi=10.1080%2f17421772.2015.1062125&partnerID=40&md5=250b81470a3fb5532ac8a00626590d08
Fecha de publicacion 03/07/2015
ISI 000359608400002
Scopus Id 2-s2.0-84939164358
DOI 10.1080/17421772.2015.1062125
Abstract Spatial analysis is widely used to study geographic patterns of diseases. To locate groups of close spatial units where the treated prevalence is significantly high or low, the latest contribution is a tool based on a Multi-objective Evolutionary Algorithm, which has not yet been used in macro-urban areas: this study is the first attempt for this purpose. To do so, spatial distribution of the treated prevalence of mental disorders in basic health areas was analysed within the Barcelona metropolitan zone during 2009. The results highlight inequitable zones that need further attention, and geographically weighted regression shows that socio-economic factors influence treated prevalence although there may be additional factors involved.
Palabras clave Multi-objective Evolutionary Algorithm; treated prevalence; spatial clusters; macro-urban areas
Miembros de la Universidad Loyola

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