| Author | Guimarães, Ricardo José de Paula Souza | |
| Author | Freitas, Corina da Costa | |
| Author | Dutra, Luciano Vieira | |
| Author | Scholte, Ronaldo Guilherme Carvalho | |
| Author | Amaral, Ronaldo Santos do | |
| Author | Drummond, Sandra Costa | |
| Author | Shimabukuro, Yosio Edemir | |
| Author | Oliveira, Guilherme Corrêa de | |
| Author | Carvalho, Omar dos Santos | |
| Access date | 2012-10-01T18:00:53Z | |
| Available date | 2012-10-01T18:00:53Z | |
| Document date | 2010 | |
| Citation | GUIMARAES, Ricardo José de Paula Souza et al. Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil. Memórias do Instituto Oswaldo Cruz, Rio de Janeiro, v. 105, n. 4, p. 512-518, July 2010. | pt_BR |
| ISSN | 0074-0276 | |
| URI | https://www.arca.fiocruz.br/handle/icict/5623 | |
| Language | eng | pt_BR |
| Publisher | Instituto Oswaldo Cruz, Ministério da Saúde | pt_BR |
| Rights | open access | pt_BR |
| Title | Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata distribution in the state of Minas Gerais, Brazil | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1590/S0074-02762010000400028 | pt_BR |
| Abstract | This paper analyses the associations between Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) on the prevalence of schistosomiasis and the presence of Biomphalaria glabrata in the state of Minas Gerais (MG), Brazil. Additionally, vegetation, soil and shade fraction images were created using a Linear Spectral Mixture Model (LSMM) from the blue, red and infrared channels of the Moderate Resolution Imaging Spec¬troradiometer spaceborne sensor and the relationship between these images and the prevalence of schistosomiasis and the presence of B. glabrata was analysed. First, we found a high correlation between the vegetation fraction image and EVI and second, a high correlation between soil fraction image and NDVI. The results also indicate that there was a positive correlation between prevalence and the vegetation fraction image (July 2002), a negative corre¬lation between prevalence and the soil fraction image (July 2002) and a positive correlation between B. glabrata and the shade fraction image (July 2002). This paper demonstrates that the LSMM variables can be used as a substitute for the standard vegetation indices (EVI and NDVI) to determine and delimit risk areas for B. glabrata and schisto¬somiasis in MG, which can be used to improve the allocation of resources for disease control. | 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 José dos Campos, SP, 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. 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 | 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 José dos Campos, 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 | Linear spectral mixture model | pt_BR |
| Subject | Biomphalaria glabrata | pt_BR |
| Subject | Epidemiology | pt_BR |
