GeoMed 2017: visão mais profunda a partir de big data e pequenas áreas | Cad. Saúde Pública (Online);33(10): e00172017, oct. 2017. | LILACS

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GeoMed 2017: visão mais profunda a partir de big data e pequenas áreas / GeoMed 2017: deeper insight from big data and small areas / GeoMed 2017: conocimiento más profundo gracias a datos masivos y áreas pequeñas

Carvalho, Marilia Sá; Pina, Maria de Fátima.

Affiliation

Carvalho, Marilia Sá; s.af
Pina, Maria de Fátima; Universidade do Porto. Porto. PT

Cad. Saúde Pública (Online) ; 33(10): e00172017, oct. 2017.

Article in Pt | LILACS | ID: biblio-952314

Responsible library: BR1.1

Subject(s)

Humans; Public Health; Spatial Analysis; Portugal; Congresses as Topic; Topography, Medical; Environmental Exposure; Data Mining

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Full text: 1 Index: LILACS Main subject: Public Health / Spatial Analysis Limits: Humans Country/Region as subject: Europa Language: Pt Journal: Cad. Saúde Pública (Online) Journal subject: Sa£de P£blica / Toxicologia Year: 2017 Type: Article

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Full text: 1 Index: LILACS Main subject: Public Health / Spatial Analysis Limits: Humans Country/Region as subject: Europa Language: Pt Journal: Cad. Saúde Pública (Online) Journal subject: Sa£de P£blica / Toxicologia Year: 2017 Type: Article