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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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.
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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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