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<publisher>HAL CCSD</publisher>
<title lang=en>Characterisation of multi-scale of Plasmodium falciparum malaria incidence in children of Camopi, French Guiana, by means of remotely sensed data</title>
<creator>Roux, Emmanuel</creator>
<creator>Stefani, Aurélia</creator>
<creator>Carme, Bernard</creator>
<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>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>Institut Pasteur de la Guyane</contributor>
<description>International audience</description>
<source>Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER)</source>
<source>Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER)</source>
<coverage>Cayenne, French Guiana</coverage>
<publisher>IRD</publisher>
<identifier>ird-00797353</identifier>
<identifier>http://hal.ird.fr/ird-00797353</identifier>
<identifier>http://hal.ird.fr/ird-00797353/document</identifier>
<identifier>http://hal.ird.fr/ird-00797353/file/Roux_et_al_SELPER_2012.pdf</identifier>
<source>http://hal.ird.fr/ird-00797353</source>
<source>Symposium of the Latin American Society for Remote Sensing and Spatial Information Systems (SELPER), Nov 2012, Cayenne, French Guiana. IRD, 10 p. multigr., 2012</source>
<identifier>IRD : fdi:010058342</identifier>
<language>en</language>
<subject>[SDE.ES] Environmental Sciences/Environmental and Society</subject>
<subject>[SHS.STAT] Humanities and Social Sciences/Methods and statistics</subject>
<subject>[SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases</subject>
<subject>[SDV.MP.PAR] Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>Malaria remains a major health problem in French Guiana despite the decrease in the number of cases since 2010. A previous study in Camopi, an Amerindian village on the Oyapock River, revealed that Plasmodium falciparum malaria incidence was significantly related to landscape features and that its spatial distribution exhibited some obvious patterns. In the present study, we first identified the spatial patterns that exhibit a significant Moran's index of spatial auto-correlation and that significantly explain P. falciparum malaria incidence within the multiple linear regression framework. Secondly, we linked these patterns with remotely sensed environmental features. The selected model is composed of five spatial components: three patterns, representing 50.7% of the total variance, are associated with large scale variations of the incidence, and the remaining patterns are associated with local scale variations and represent 28.7% of the total variance. Different hamlet clusters that have specificities in terms of P. falciparum malaria incidence rate, environmental characteristics and mosquito control strategies have been identified. The methodology proposed in the present study can provide useful knowledge on the spatial distribution of the P. falciparum malaria incidence in Camopi at different scales and on possible explanation of such distribution, as a function of the scale.</description>
<date>2012-11-19</date>
</dc>
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