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Memórias do Instituto Oswaldo Cruz
Fundação Oswaldo Cruz, Fiocruz
ISSN: 1678-8060
EISSN: 1678-8060
Vol. 105, No. 4, 2010, pp. 524-531
Bioline Code: oc10091
Full paper language: English
Document type: Research Article
Document available free of charge

Memórias do Instituto Oswaldo Cruz, Vol. 105, No. 4, 2010, pp. 524-531

 en A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil
Guimarães, Ricardo José de Paula Souza; Freitas, Corina Costa; Dutra, Luciano Vieira; Scholte, Ronaldo Guilherme Carvalho; Martins-Bedé, Flávia Toledo; Fonseca, Fernanda Rodrigues; Amaral, Ronaldo Santos; Drummond, Sandra Costa; Felgueiras, Carlos Alberto; Oliveira, Guilherme Corrêa & Carvalho, Omar Santos


Geographical information systems (GIS) are tools that have been recently tested for improving our understanding of the spatial distribution of disease. The objective of this paper was to further develop the GIS technology to model and control schistosomiasis using environmental, social, biological and remote-sensing variables. A final regression model (R2 = 0.39) was established, after a variable selection phase, with a set of spatial variables including the presence or absence of Biomphalaria glabrata check for this species in other resources , winter enhanced vegetation index, summer minimum temperature and percentage of houses with water coming from a spring or well. A regional model was also developed by splitting the state of Minas Gerais (MG) into four regions and establishing a linear regression model for each of the four regions: 1 (R2 = 0.97), 2 (R2 = 0.60), 3 (R2 = 0.63) and 4 (R2 = 0.76). Based on these models, a schistosomiasis risk map was built for MG. In this paper, geostatistics was also used to make inferences about the presence of Biomphalaria spp. The result was a map of species and risk areas. The obtained risk map permits the association of uncertainties, which can be used to qualify the inferences and it can be thought of as an auxiliary tool for public health strategies.

schistosomiasis - geographical information system - geostatistical procedures - Biomphalaria - multiple linear regression - epidemiology

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