Author | Guimarães, Ricardo José de Paula Souza | |
Author | Freitas, Corina da Costa | |
Author | Dutra, Luciano Vieira | |
Author | Scholte, Ronaldo Guilherme Carvalho | |
Author | Bede, Flávia Toledo Martins | |
Author | Fonseca, Fernanda Rodrigues | |
Author | Amaral, Ronaldo Santos do | |
Author | Drummond, Sandra Costa | |
Author | Felgueiras, Carlos Alberto | |
Author | Oliveira, Guilherme Corrêa de | |
Author | Carvalho, Omar dos Santos | |
Access date | 2012-10-03T19:05:20Z | |
Available date | 2012-10-03T19:05:20Z | |
Document date | 2010 | |
Citation | GUIMARÃES, Ricardo José de Paula Souza et al. A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 105, n. 4, p. 524-531, 2010. | pt_BR |
ISSN | 0074-0276 | |
URI | https://www.arca.fiocruz.br/handle/icict/5632 | |
Language | eng | pt_BR |
Publisher | Instituto Oswaldo Cruz, Ministério da Saúde | pt_BR |
Rights | open access | pt_BR |
Title | A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil | pt_BR |
Type | Article | pt_BR |
DOI | 10.1590/S0074-02762010000400030. | |
Abstract | 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 pres¬ence or absence of Biomphalaria glabrata, 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 | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia de Belo Horizonte. Programa de Pós-Graduação em Clínica Médica e Biomedicina. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia de Belo Horizonte. Programa de Pós-Graduação em Clínica Médica e Biomedicina. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Ministério da Saúde. Secretaria de Vigilância em Saúde. Brasília, DF, Brasil. | pt_BR |
Affilliation | Secretaria de Estado de Saúde de Minas Gerais. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São Paulo, SP, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia de Belo Horizonte. Programa de Pós-Graduação em Clínica Médica e Biomedicina. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Belo Horizonte, MG, Brasil. | pt_BR |
Subject | Schistosomiasis | pt_BR |
Subject | Geographical information system | pt_BR |
Subject | Geostatistical procedures | pt_BR |
Subject | Biomphalaria | pt_BR |
Subject | Multiple linear regression | pt_BR |
Subject | Epidemiology | pt_BR |