A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil
Mem. Inst. Oswaldo Cruz
;
105(4): 524-531, July 2010. ilus, tab
Artigo
em Inglês
| LILACS
| ID: lil-554825
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 presence 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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Esquistossomose
/
Biomphalaria
/
Sistemas de Informação Geográfica
/
Vetores de Doenças
Tipo de estudo:
Estudo de etiologia
/
Estudo de prevalência
/
Estudo prognóstico
Limite:
Animais
/
Humanos
País/Região como assunto:
América do Sul
/
Brasil
Idioma:
Inglês
Revista:
Mem. Inst. Oswaldo Cruz
Assunto da revista:
Medicina Tropical
/
Parasitologia
Ano de publicação:
2010
Tipo de documento:
Artigo
/
Documento de projeto
País de afiliação:
Brasil
Instituição/País de afiliação:
Fiocruz/BR
/
Instituto Nacional de Pesquisas Espaciais/BR
/
Ministério da Saúde/BR
/
Secretaria de Estado de Saúde de Minas Gerais/BR
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