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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:34:50Z</responseDate> <request identifier=oai:HAL:inserm-00834790v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:inserm-00834790v1</identifier> <datestamp>2018-01-12</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:INSERM</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:IRD</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:MIPS</setSpec> <setSpec>collection:UNICE</setSpec> <setSpec>collection:UNIV-PERP</setSpec> <setSpec>collection:UNIV-AVIGNON</setSpec> <setSpec>collection:GUYANE</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> <setSpec>collection:ESPACE-DEV</setSpec> <setSpec>collection:UCA-TEST</setSpec> <setSpec>collection:UNIV-COTEDAZUR</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Land cover, land use and malaria in the Amazon: a systematic literature review of studies using remotely sensed data.</title> <creator>Stefani, Aurélia</creator> <creator>Dusfour, Isabelle</creator> <creator>Corrêa, Ana Paula</creator> <creator>Cruz, Manoel</creator> <creator>Dessay, Nadine</creator> <creator>Galardo, Allan</creator> <creator>Galardo, Clícia</creator> <creator>Girod, Romain</creator> <creator>Gomes, Margarete</creator> <creator>Gurgel, Helen</creator> <creator>Lima, Ana Cristina</creator> <creator>Moreno, Eduardo</creator> <creator>Musset, Lise</creator> <creator>Nacher, Mathieu</creator> <creator>Soares, Alana</creator> <creator>Carme, Bernard</creator> <creator>Roux, Emmanuel</creator> <contributor>Epidémiologie des parasitoses et mycoses tropicales ; Université des Antilles et de la Guyane (UAG) - Institut National de la Santé et de la Recherche Médicale (INSERM)</contributor> <contributor>STRonGer programme ; Institut Pasteur de la Guyane</contributor> <contributor>Unité d'Entomologie Médicale ; Institut Pasteur de la Guyane</contributor> <contributor>Laboratório de Entomologia ; Instituto de Pesquisas Cientificas e Tecnológicas do Estado do Amapá</contributor> <contributor>Secretaria Municipal de Saúde ; Oiapoque</contributor> <contributor>UMR 228 Espace-Dev, Espace pour le développement ; Institut de Recherche pour le Développement (IRD) - Université de Perpignan Via Domitia (UPVD) - Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Université d'Avignon et des Pays de Vaucluse (UAPV) - Université de la Réunion (UR) - Université de Montpellier (UM) - Université de Guyane (UG) - Université des Antilles (Pôle Martinique) ; Université des Antilles (UA) - Université des Antilles (UA) - Université des Antilles (Pôle Guadeloupe) ; Université des Antilles (UA)</contributor> <contributor>Laboratório Central de Saúde Pública do Amapá (LACEN-AP) ; Gerência de Pesquisa e Desenvolvimento Institucional - Saúde Pública</contributor> <contributor>Department of Geography ; Universidade de Brasilia [Brasília] (UnB)</contributor> <contributor>Distrito Sanitário Especial Indígena - Amapá e Norte do Pará ; Ministerio da Saude - Secretaria Especial de Saúde Indígena</contributor> <contributor>Laboratoire de Parasitologie ; Institut Pasteur de la Guyane - Réseau International de Instituts Pasteur</contributor> <contributor>Centre d'investigation clinique Antilles-Guyane ; Institut National de la Santé et de la Recherche Médicale (INSERM) - CH Cayenne</contributor> <contributor>Agência de Desenvolvimento do Amapá ; Macapá</contributor> <contributor>The study was supported by OSE-Guyamapá, a cross-border cooperation project funded by the operational program "Amazonie" of the European Regional Development Fund in French Guiana. This work has benefited from an "Investissement d'Avenir" grant managed by Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01). AS was partially funded by the CAPACITY specific programme (call STRonGer) FP7-REGPOT- 2011-1 (Grant agreement REGPOT-CT-2011-285837). This work is also supported by the Oyapock Human-Environment Observatory of the French National Centre for Scientific Research (CNRS).</contributor> <description>International audience</description> <source>ISSN: 1475-2875</source> <source>Malaria Journal</source> <publisher>BioMed Central</publisher> <identifier>inserm-00834790</identifier> <identifier>http://www.hal.inserm.fr/inserm-00834790</identifier> <identifier>http://www.hal.inserm.fr/inserm-00834790/document</identifier> <identifier>http://www.hal.inserm.fr/inserm-00834790/file/1475-2875-12-192.pdf</identifier> <source>http://www.hal.inserm.fr/inserm-00834790</source> <source>Malaria Journal, BioMed Central, 2013, 12 (1), pp.192. 〈10.1186/1475-2875-12-192〉</source> <identifier>DOI : 10.1186/1475-2875-12-192</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1186/1475-2875-12-192</relation> <identifier>PUBMED : 23758827</identifier> <relation>info:eu-repo/semantics/altIdentifier/pmid/23758827</relation> <language>en</language> <subject lang=en>Malaria</subject> <subject lang=en>Land cover</subject> <subject lang=en>Land use</subject> <subject lang=en>Typology</subject> <subject lang=en>Environmental factors</subject> <subject lang=en>Landscape ecology</subject> <subject lang=en>Remote sensing</subject> <subject lang=en>Amazon</subject> <subject>[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>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.</description> <date>2013-06-08</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>