title: [Public health risk maps using geostatistical methods].
abstract: The purpose of this paper was to demonstrate an application of geostatistical methods to public health risk maps through the identification of areas with elevated concentrations of heavy metals. The study focused on the element lead (Pb) from aerial transportation or loading of particles due to soil leaching in an area with major urban and industrial concentration in the Baixada Santista on the coastland of São Paulo State, Brazil. Maps with the spatial distribution of lead were produced using ordinary kriging; subsequently indicative kriging was performed to identify soil sites with contamination levels higher than the maximum acceptable level defined by the Sao Paulo State Environmental Control Agency. The resulting maps showed areas with increased probability of public health risk. The methodology proved to be a promising approach for decision-making related to health public policies and environmental planning.
authors.affiliation: Unidade Diferenciada de Sorocaba/Iperó, Universidade Estadual Paulista Júlio de Mesquita Filho, Sorocaba, Brazil. robertow@sorocaba.unesp.br
authors.forename: Roberto Wagner
authors.initials: RW
authors.lastname: Lourenço
authors.forename: Paulo Milton Barbosa
authors.initials: PM
authors.lastname: Landim
mesh_terms: D001938:Brazil; D003627:Data Interpretation, Statistical; D004784:Environmental Monitoring / Q000379:methods*; D006801:Humans; D007854:Lead / Q000032:analysis*; D011634:Public Health; D018570:Risk Assessment / Q000379:methods; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D012989:Soil Pollutants; D007854:Lead