Skip navigation
Please use this identifier to cite or link to this item: http://repositorio.unb.br/handle/10482/23615
Files in This Item:
File Description SizeFormat 
ARTIGO_LandCoverLand.pdf1,15 MBAdobe PDFView/Open
Title: Land cover, land use and malaria in the Amazon : a systematic literature review of studies using remotely sensed data
Authors: Stefani, Aurélia
Dusfour, Isabelle
Corrêa, Ana Paula S. A.
Cruz, Manoel C. B.
Dessay, Nadine
Galardo, Allan K. R.
Galardo, Clícia D.
Girod, Romain
Gomes, Margarete S. M.
Gurgel, Helen da Costa
Lima, Ana Cristina F.
Moreno, Eduardo S.
Musset, Lise
Nacher, Mathieu
Soares, Alana C. S.
Carme, Bernard
Roux, Emmanuel
Assunto:: Malária
Solos - uso
Ecologia
Sensoriamento remoto
Florestas - Amazônia
Issue Date: 2013
Publisher: BioMed Central
Citation: STEFANI, Aurélia et. al. Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data. Malaria Journal, v. 12, n. 192, p. 1-8, 2013. Disponível: <https://malariajournal.biomedcentral.com/articles/10.1186/1475-2875-12-192>. Acesso em: 5 jun. 2017. doi 10.1186/1475-2875-12-192.
Abstract: 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.
Licença:: © 2013 Stefani et al.; licensee BioMed Central Ltd. 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.
DOI: https://dx.doi.org/10.1186/1475-2875-12-192
Appears in Collections:GEA - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/23615/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.