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Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil
BACKGROUND: In Brazil, 99% of malaria cases are concentrated in the Amazon, and malaria's spatial distribution is commonly associated with socio-environmental conditions on a fine landscape scale. In this study, the spatial patterns of malaria and its determinants in a rural settlement of the B...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134424/ https://www.ncbi.nlm.nih.gov/pubmed/21703018 http://dx.doi.org/10.1186/1475-2875-10-177 |
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author | de Oliveira, Elaine Cristina dos Santos, Emerson Soares Zeilhofer, Peter Souza-Santos, Reinaldo Atanaka-Santos, Marina |
author_facet | de Oliveira, Elaine Cristina dos Santos, Emerson Soares Zeilhofer, Peter Souza-Santos, Reinaldo Atanaka-Santos, Marina |
author_sort | de Oliveira, Elaine Cristina |
collection | PubMed |
description | BACKGROUND: In Brazil, 99% of malaria cases are concentrated in the Amazon, and malaria's spatial distribution is commonly associated with socio-environmental conditions on a fine landscape scale. In this study, the spatial patterns of malaria and its determinants in a rural settlement of the Brazilian agricultural reform programme called "Vale do Amanhecer" in the northern Mato Grosso state were analysed. METHODS: In a fine-scaled, exploratory ecological study, geocoded notification forms corresponding to malaria cases from 2005 were compared with spectral indices, such as the Normalized Difference Vegetation Index (NDVI) and the third component of the Tasseled Cap Transformation (TC_3) and thematic layers, derived from the visual interpretation of multispectral TM-Landsat 5 imagery and the application of GIS distance operators. RESULTS: Of a total of 336 malaria cases, 102 (30.36%) were caused by Plasmodium falciparum and 174 (51.79%) by Plasmodium vivax. Of all the cases, 37.6% (133 cases) were from residents of a unique road. In total, 276 cases were reported for the southern part of the settlement, where the population density is higher, with notification rates higher than 10 cases per household. The local landscape mostly consists of open areas (38.79 km²). Training forest occupied 27.34 km² and midsize vegetation 7.01 km². Most domiciles with more than five notified malaria cases were located near areas with high NDVI values. Most domiciles (41.78%) and malaria cases (44.94%) were concentrated in areas with intermediate values of the TC_3, a spectral index representing surface and vegetation humidity. CONCLUSIONS: Environmental factors and their alteration are associated with the occurrence and spatial distribution of malaria cases in rural settlements. |
format | Online Article Text |
id | pubmed-3134424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31344242011-07-13 Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil de Oliveira, Elaine Cristina dos Santos, Emerson Soares Zeilhofer, Peter Souza-Santos, Reinaldo Atanaka-Santos, Marina Malar J Research BACKGROUND: In Brazil, 99% of malaria cases are concentrated in the Amazon, and malaria's spatial distribution is commonly associated with socio-environmental conditions on a fine landscape scale. In this study, the spatial patterns of malaria and its determinants in a rural settlement of the Brazilian agricultural reform programme called "Vale do Amanhecer" in the northern Mato Grosso state were analysed. METHODS: In a fine-scaled, exploratory ecological study, geocoded notification forms corresponding to malaria cases from 2005 were compared with spectral indices, such as the Normalized Difference Vegetation Index (NDVI) and the third component of the Tasseled Cap Transformation (TC_3) and thematic layers, derived from the visual interpretation of multispectral TM-Landsat 5 imagery and the application of GIS distance operators. RESULTS: Of a total of 336 malaria cases, 102 (30.36%) were caused by Plasmodium falciparum and 174 (51.79%) by Plasmodium vivax. Of all the cases, 37.6% (133 cases) were from residents of a unique road. In total, 276 cases were reported for the southern part of the settlement, where the population density is higher, with notification rates higher than 10 cases per household. The local landscape mostly consists of open areas (38.79 km²). Training forest occupied 27.34 km² and midsize vegetation 7.01 km². Most domiciles with more than five notified malaria cases were located near areas with high NDVI values. Most domiciles (41.78%) and malaria cases (44.94%) were concentrated in areas with intermediate values of the TC_3, a spectral index representing surface and vegetation humidity. CONCLUSIONS: Environmental factors and their alteration are associated with the occurrence and spatial distribution of malaria cases in rural settlements. BioMed Central 2011-06-26 /pmc/articles/PMC3134424/ /pubmed/21703018 http://dx.doi.org/10.1186/1475-2875-10-177 Text en Copyright ©2011 de Oliveira et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research de Oliveira, Elaine Cristina dos Santos, Emerson Soares Zeilhofer, Peter Souza-Santos, Reinaldo Atanaka-Santos, Marina Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title | Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title_full | Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title_fullStr | Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title_full_unstemmed | Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title_short | Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil |
title_sort | spatial patterns of malaria in a land reform colonization project, juruena municipality, mato grosso, brazil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134424/ https://www.ncbi.nlm.nih.gov/pubmed/21703018 http://dx.doi.org/10.1186/1475-2875-10-177 |
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