title: GIS applications for mapping and spatial modeling of urban-use water quality: a case study in District of Cuiabá, Mato Grosso, Brazil.
abstract: A cross-sectional study utilizing spatial analysis techniques was conducted to study water quality problems and risk of waterborne enteric diseases in a lower-middle-class urban district of Cuiabá, the capital of Mato Grosso State, Brazil. Field surveys indicate high rates of supply water contamination in domiciles and, conspicuously, in public and private schools. Logistic regression models developed for the variables turbidity, Escherichia coli, total coliforms, and intestinal parasite infection did not identify singular explanatory factors for the supply water conditions and elevated incidences of enteric diseases among children. The contamination problems were found to be the result of precarious conditions involving both public infrastructure and in-building sanitary installations and their maintenance. GIS methods were successfully applied to create spatial datasets for logistic regression model building and to construct risk maps using regression coefficients.
authors: Departamento de Geografia, Universidade Federal do Mato Grosso, Av. F. Correa da Costa s/n, Cuiabá, MT 78060-9000, Brazil. pitalike@terra.com.br
authors: Peter
authors: P
authors: Zeilhofer
authors: Liliana Victorino Alves Corrêa
authors: LV
authors: Zeilhofer
authors: Edna Lopes
authors: EL
authors: Hardoim
authors: Zoraidy Marques de
authors: ZM
authors: Lima
authors: Catarina Silva
authors: CS
authors: Oliveira
mesh_terms: D001938:Brazil / Q000453:epidemiology; D002648:Child; D004756:Enterobacteriaceae Infections / Q000453:epidemiology* / Q000209:etiology; D004812:Epidemiologic Methods; D040362:Geographic Information Systems; D006801:Humans; D007411:Intestinal Diseases, Parasitic / Q000453:epidemiology / Q000209:etiology; D012959:Socioeconomic Factors; D019371:Topography, Medical; D014505:Urban Population; D014871:Water Microbiology; D014881:Water Supply / Q000032:analysis* / Q000592:standards