Author | Carvalho, Omar dos Santos | |
Author | Scholte, Ronaldo Guilherme Carvalho | |
Author | Guimarães, Ricardo José de Paula Souza | |
Author | Freitas, Corina da Costa | |
Author | Drummond, Sandra Costa | |
Author | Amaral, Ronaldo Santos do | |
Author | Dutra, Luciano Vieira | |
Author | Oliveira, Guilherme Corrêa de | |
Author | Massara, Cristiano Lara | |
Author | Enk, Martin Johannes | |
Access date | 2012-09-26T19:13:24Z | |
Available date | 2012-09-26T19:13:24Z | |
Document date | 2010 | |
Citation | CARVALHO, Omar Santos et al. The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 105, n. 4, p. 532-536, 2010. | pt_BR |
ISSN | 0074-0276 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/5547 | |
Language | eng | pt_BR |
Publisher | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz | pt_BR |
Rights | open access | pt_BR |
Title | The Estrada Real project and endemic diseases: the case of schistosomiasis, geoprocessing and tourism | pt_BR |
Type | Article | pt_BR |
DOI | 10.1590/S0074-02762010000400031 | pt_BR |
Abstract | Geographical Information System (GIS) is a tool that has recently been applied to better understand spatial dis¬ease distributions. Using meteorological, social, sanitation, mollusc distribution data and remote sensing variables, this study aimed to further develop the GIS technology by creating a model for the spatial distribution of schisto¬somiasis and to apply this model to an area with rural tourism in the Brazilian state of Minas Gerais (MG). The Estrada Real, covering about 1,400 km, is the largest and most important Brazilian tourism project, involving 163 cities in MG with different schistosomiasis prevalence rates. The model with three variables showed a R2 = 0.34, with a standard deviation of risk estimated adequate for public health needs. The main variables selected for modelling were summer vegetation, summer minimal temperature and winter minimal temperature. The results confirmed the importance of Remote Sensing data and the valuable contribution of GIS in identifying priority areas for interven¬tion in tourism regions which are endemic to schistosomiasis. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Helmintologia e Malacologia Médica. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Helmintologia e Malacologia Médica. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia. Programa de Pós-Graduação. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Helmintologia e Malacologia Médica. Belo Horizonte, MG, Brasil / Santa Casa de Misericórdia. Programa de Pós-Graduação. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São José dos Campos, SP, Brasil. | pt_BR |
Affilliation | Secretaria de Estado de Saúde de Minas Gerais. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Ministério da Saúde. Secretaria de Vigilância em Saúde. Brasília, DF, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Pesquisas Espaciais. São José dos Campos, SP, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Parasitologia Celular e Molecular. Belo Horizonte, MG, Brasil | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Helmintologia e Malacologia Médica. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo. Centro de Pesquisas René Rachou. Laboratório de Esquistossomose. Belo Horizonte, MG, Brasil. | pt_BR |
Subject | Geographic Information System | pt_BR |
Subject | Estrada Real Project | pt_BR |
Subject | Schistosomiasis | pt_BR |
Subject | Control | pt_BR |
Subject | Multiple linear regression | pt_BR |