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.

Prevalência De Sintomas Musculoesqueléticos Em Professores Do Ensino Superior Em Uma Instituição Privada No Município De Picos-Pi

“…É importante enfatizar que as informações sobre o surto dessas doenças entre os alunos foram obtidas por meio de perguntas diretas feitas aos próprios gestores das escolas que, por sua vez, poderiam omitir ou não tais informações. Em outro estudo onde foram observados índices elevados de contaminação por coliformes totais (58%) e Escherichia coli (26,9%) nas águas fornecidas a escolas públicas e privadas, 50% da população também confirmou a presença de sintomas de doenças entéricas (ZEILHOFER et al, 2007). Para Rossi et al (2018), a contaminação microbiana da água em escolas representa um risco para o desenvolvimento de doenças de origem alimentar, uma vez que as crianças têm uma imunidade relativamente menor do que os adultos, sendo fundamental adicionar medidas de segurança para protegê-los de patógenos transmitidos por alimentos e de alta contaminação microbiana na escola.…”

Geospatial Assessment of Ground Water Quality and Associated Health Problems in the Western Region of India

“…With the ability to use spatial data according to desired needs and in diversified domains within integrated environment, GIS has emerged as a significant platform for resource management studies. Its accuracy in exploratory data analysis, its visualization, as well as model building capacity has enabled it to address multidimensional resource management challenges including water [21]. It can be used to analyze spatial distribution of groundwater, problems associated with its quality, assessing its vulnerability to pollution, distribution of associated diseases and at-risk populations and to facilitate targeted interventions for resource management.…”

Spatial modeling of tidal and land use impacts on Escherichia coli contamination and fluctuation in Asia’s urban river environmental gradient

“…Geographic Information System (GIS) based spatial modeling has been viewed as solution to study the dynamic of Escherichia coli (E. coli) in the environment, especially in the water bodies. In Brazil [4], GIS methods were successfully applied to create spatial datasets for logistic regression model building and to construct risk maps using regression coefficients. This spatial model was used to study water quality problems and risk of waterborne enteric diseases in a lower-middle-class urban district.…”