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Biotic factors and occurrence of Lutzomyia longipalpis in endemic area of visceral leishmaniasis, Mato Grosso do Sul, Brazil
Oliveira, Everton Falcão de; Silva, Elaine Araújo e; Fernandes, Carlos Eurico dos Santos; Paranhos Filho, Antonio Conceição; Gamarra, Roberto Macedo; Ribeiro, Alisson André; Brazil, Reginaldo Peçanha; Oliveira, Alessandra Gutierrez de.
Afiliación
  • Oliveira, Everton Falcão de; Faculdade de Medicina Dr Hélio Mandetta.
  • Silva, Elaine Araújo e; Secretaria Municipal de Saúde de Campo Grande. Centro de Controle de Zoonoses. Campo Grande. BR
  • Fernandes, Carlos Eurico dos Santos; Centro de Ciências Biológicas e da Saúde. Laboratório de Parasitologia.
  • Paranhos Filho, Antonio Conceição; Universidade Federal de Mato Grosso do Sul. Centro de Ciências Exatas e Tecnológicas. Laboratório de Geoprocessamento para Aplicações Ambientais. Campo Grande. BR
  • Gamarra, Roberto Macedo; Universidade Federal de Mato Grosso do Sul. Centro de Ciências Exatas e Tecnológicas. Laboratório de Geoprocessamento para Aplicações Ambientais. Campo Grande. BR
  • Ribeiro, Alisson André; Universidade Federal de Mato Grosso do Sul. Centro de Ciências Exatas e Tecnológicas. Laboratório de Geoprocessamento para Aplicações Ambientais. Campo Grande. BR
  • Brazil, Reginaldo Peçanha; Instituto Oswaldo Cruz-Fiocruz. Departamento de Bioquímica e Biologia Molecular. Rio de Janeiro. BR
  • Oliveira, Alessandra Gutierrez de; Faculdade de Medicina Dr Hélio Mandetta.
Mem. Inst. Oswaldo Cruz ; 107(3): 396-401, May 2012. ilus, graf, mapas, tab
Article en En | LILACS | ID: lil-624022
Biblioteca responsable: BR1.1
ABSTRACT
The relationships between environmental exposure to risk agents and health conditions have been studied with the aid of remote sensing imagery, a tool particularly useful in the study of vegetation cover. This study aims to evaluate the influence of environmental variables on the spatial distribution of the abundance of Lutzomyia longipalpis and the reported canine and human visceral leishmaniasis (VL) cases at an urban area of Campo Grande, state of Mato Grosso do Sul. The sandfly captures were performed in 13 residences that were selected by raffle considering four residences or collection station for buffer. These buffers were generated from the central house with about 50, 100 and 200 m from it in an endemic area of VL. The abundance of sandflies and human and canine cases were georreferenced using the GIS software PCI Geomatica. The normalized difference vegetation index (NDVI) and percentage of land covered by vegetation were the environmental variables extracted from a remote sensing IKONOS-2 image. The average NDVI was considered as the complexity of habitat and the standard deviation as the heterogeneity of habitat. One thousand three hundred sixty-seven specimens were collected during the catch. We found a significant positive linear correlation between the abundance of sandflies and the percentage of vegetation cover and average NDVI. However, there was no significant association between habitat heterogeneity and the abundance of these flies.
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Texto completo: 1 Colección: 01-internacional Base de datos: LILACS Asunto principal: Psychodidae / Ecosistema / Insectos Vectores Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Female / Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Mem. Inst. Oswaldo Cruz Asunto de la revista: MEDICINA TROPICAL / PARASITOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Brasil
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Texto completo: 1 Colección: 01-internacional Base de datos: LILACS Asunto principal: Psychodidae / Ecosistema / Insectos Vectores Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Female / Humans / Male País/Región como asunto: America do sul / Brasil Idioma: En Revista: Mem. Inst. Oswaldo Cruz Asunto de la revista: MEDICINA TROPICAL / PARASITOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Brasil