Skip navigation
Universidade Federal da Bahia |
Repositório Institucional da UFBA
Use este identificador para citar ou linkar para este item: https://repositorio.ufba.br/handle/ri/4836
Tipo: Artigo de Periódico
Título: Use of thermal and vegetation index data from earth observing satellites to evaluate the risk of schistosomiasis in Bahia, Brazil
Título(s) alternativo(s): Acta Tropica
Autor(es): Bavia, Maria Emília
Malone, J. B.
Hale, L.
Dantas, Alailson Falcão
Marroni, L.
Reis, R.
Autor(es): Bavia, Maria Emília
Malone, J. B.
Hale, L.
Dantas, Alailson Falcão
Marroni, L.
Reis, R.
Abstract: A geographic information system (GIS) was constructed using maps of regional agroclimatic features, vegetation indices and earth surface temperature data from environmental satellites, together with Schistosoma mansoni prevalence records from 270 municipalities including snail host distributions in Bahia, Brazil to study the spatial and temporal dynamics of infection and to identify environmental factors that influence the distribution of schistosomiasis. In an initial analysis, population density and duration (months) of the annual dry period were shown to be important determinants of disease. In cooperation with the National Institute of Spatial Research in Brazil (INPE), day and night imagery data covering the state of Bahia were selected at approximately bimonthly intervals in 1994 (six day–night pairs) from the data archives of the advanced very high resolution radiometer (AVHRR) sensor of the National Oceanic and Atmospheric Administration (NOAA)-11 satellite. A composite mosaic of these images was created to produce maps of: (1) average values between 0 and +1 of the normalized difference vegetation index (NDVI); and (2) average diurnal temperature differences (dT) on a scale of values between 0 and 15°C. For each municipality, NDVI and dT were calculated for a 3×3 pixel (9 km2 area) grid and analyzed for relationships to prevalence of schistosomiasis. Results showed a statistically significant relationship of prevalence to dT (r=−0.218) and NDVI (r=0.384) at the 95% level of confidence by the Spearman rank correlation coefficient. Results support use of NDVI, dT, dry period climatic stress factors and human population density for development of a GIS environmental risk assessment model for schistosomiasis in Brazil. © 2001 Elsevier Science B.V. All rights reserved
Palavras-chave: Schistosomiasis
Schistosoma mansoni Epidemiology
Remote-sensing
GIS
URI: http://www.repositorio.ufba.br/ri/handle/ri/4836
Data do documento: 2001
Aparece nas coleções:Artigo Publicado em Periódico (EMV)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
__www.sciencedirect.pdf536,56 kBAdobe PDFVisualizar/Abrir
Mostrar registro completo do item Visualizar estatísticas


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.