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Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data
The nine countries sharing the Amazon forest accounted for 89% of all malaria cases reported in the Americas in 2008. Remote sensing can help identify the environmental determinants of malaria transmission and their temporo-spatial evolution. Seventeen studies characterizing land cover or land use f...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684522/ https://www.ncbi.nlm.nih.gov/pubmed/23758827 http://dx.doi.org/10.1186/1475-2875-12-192 |
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author | Stefani, Aurélia Dusfour, Isabelle Corrêa, Ana Paula SA Cruz, Manoel CB Dessay, Nadine Galardo, Allan KR Galardo, Clícia D Girod, Romain Gomes, Margarete SM Gurgel, Helen Lima, Ana Cristina F Moreno, Eduardo S Musset, Lise Nacher, Mathieu Soares, Alana CS Carme, Bernard Roux, Emmanuel |
author_facet | Stefani, Aurélia Dusfour, Isabelle Corrêa, Ana Paula SA Cruz, Manoel CB Dessay, Nadine Galardo, Allan KR Galardo, Clícia D Girod, Romain Gomes, Margarete SM Gurgel, Helen Lima, Ana Cristina F Moreno, Eduardo S Musset, Lise Nacher, Mathieu Soares, Alana CS Carme, Bernard Roux, Emmanuel |
author_sort | Stefani, Aurélia |
collection | PubMed |
description | The nine countries sharing the Amazon forest accounted for 89% of all malaria cases reported in the Americas in 2008. Remote sensing can help identify the environmental determinants of malaria transmission and their temporo-spatial evolution. Seventeen studies characterizing land cover or land use features, and relating them to malaria in the Amazon subregion, were identified. These were reviewed in order to improve the understanding of the land cover/use class roles in malaria transmission. The indicators affecting the transmission risk were summarized in terms of temporal components, landscape fragmentation and anthropic pressure. This review helps to define a framework for future studies aiming to characterize and monitor malaria. |
format | Online Article Text |
id | pubmed-3684522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36845222013-06-18 Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data Stefani, Aurélia Dusfour, Isabelle Corrêa, Ana Paula SA Cruz, Manoel CB Dessay, Nadine Galardo, Allan KR Galardo, Clícia D Girod, Romain Gomes, Margarete SM Gurgel, Helen Lima, Ana Cristina F Moreno, Eduardo S Musset, Lise Nacher, Mathieu Soares, Alana CS Carme, Bernard Roux, Emmanuel Malar J Review The nine countries sharing the Amazon forest accounted for 89% of all malaria cases reported in the Americas in 2008. Remote sensing can help identify the environmental determinants of malaria transmission and their temporo-spatial evolution. Seventeen studies characterizing land cover or land use features, and relating them to malaria in the Amazon subregion, were identified. These were reviewed in order to improve the understanding of the land cover/use class roles in malaria transmission. The indicators affecting the transmission risk were summarized in terms of temporal components, landscape fragmentation and anthropic pressure. This review helps to define a framework for future studies aiming to characterize and monitor malaria. BioMed Central 2013-06-08 /pmc/articles/PMC3684522/ /pubmed/23758827 http://dx.doi.org/10.1186/1475-2875-12-192 Text en Copyright © 2013 Stefani 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 | Review Stefani, Aurélia Dusfour, Isabelle Corrêa, Ana Paula SA Cruz, Manoel CB Dessay, Nadine Galardo, Allan KR Galardo, Clícia D Girod, Romain Gomes, Margarete SM Gurgel, Helen Lima, Ana Cristina F Moreno, Eduardo S Musset, Lise Nacher, Mathieu Soares, Alana CS Carme, Bernard Roux, Emmanuel Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title | Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title_full | Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title_fullStr | Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title_full_unstemmed | Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title_short | Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data |
title_sort | land cover, land use and malaria in the amazon: a systematic literature review of studies using remotely sensed data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684522/ https://www.ncbi.nlm.nih.gov/pubmed/23758827 http://dx.doi.org/10.1186/1475-2875-12-192 |
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