GIS applications for mapping and spatial modeling of urban-use water quality
A case study in District of Cuiabá, Mato Grosso, Brazil
Bibliographic Data
| ID | 5174042 |
|---|---|
| Authors | Peter Zeilhofer (0000-0002-7579-6408, Universidade Federal do Mato Grosso, Brasil), Paul Dvorak (corresponding author), Liliana Victorino Alves Corrêa Zeilhofer (Universidade Federal do Mato Grosso, Brasil), Edna Lopes Hardoim (0000-0003-2327-6731, Universidade Federal do Mato Grosso, Brasil), Zoraidy Marques De Lima (Universidade Federal do Mato Grosso, Brasil), Catarina Silva Oliveira (Universidade Federal do Mato Grosso, Brasil) |
| Year | 2007 |
| Volume | 23 |
| Issue | 4 |
| Pages | 875-884 |
| Publication date | 2007-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cadernos de Saude Publica (JOURNAL) |
| Journal identifiers | ISSN: 0102-311X • E-ISSN: 1678-4464 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/s0102-311x2007000400015 |
| OpenAlex | W17435885 |
| SciELO | S0102-311X2007000400015 |
| Language | EN |
| References cited | 15 |
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
Crash · Child Nutrition and Water Access · Computer Science · Fecal contamination and water quality · Food Safety and Hygiene
| Highly cited | No |
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