About Bioline  All Journals  Testimonials  Membership  News  Donations

Memórias do Instituto Oswaldo Cruz
Fundação Oswaldo Cruz, Fiocruz
ISSN: 1678-8060
EISSN: 1678-8060
Vol. 105, No. 4, 2010, pp. 512-518
Bioline Code: oc10089
Full paper language: English
Document type: Research Article
Document available free of charge

Memórias do Instituto Oswaldo Cruz, Vol. 105, No. 4, 2010, pp. 512-518

 en Evaluation of a linear spectral mixture model and vegetation indices (NDVI and EVI) in a study of schistosomiasis mansoni and Biomphalaria glabrata check for this species in other resources distribution in the state of Minas Gerais, Brazil
Guimarães, Ricardo J.P.S.; Freitas, Corina C.; Dutra, Luciano V.; Scholte, Ronaldo G.C.; Amaral, Ronaldo S.; Drummond, Sandra C.; Shimabukuro, Yosio E.; Oliveira, Guilherme C. & Carvalho, Omar S.


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 check for this species in other resources 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 Spectroradiometer 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 schistosomiasis in MG, which can be used to improve the allocation of resources for disease control.

schistosomiasis - geographical information system - linear spectral mixture model - Biomphalaria glabrata - epidemiology

© Copyright © 2010 - Instituto Oswaldo Cruz - Fiocruz
Alternative site location:

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2020, Site last up-dated on 06-Apr-2020.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Internet Data Center of Rede Nacional de Ensino e Pesquisa, RNP, Brazil