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| HAL : hal-00624606, version 1 |
| Fiche détaillée |  Récupérer au format |
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| International Journal of Geoinformatics (2006) 29-34 |
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| The Geographical Study of Anopheline Densities on a Small Space, using Satellite Imagery and Geographical Information Systems |
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Julie Vallée 1, 2Laurence Marrama 1 |
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| (12/2006) |
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| To predict the spatial distribution of anopheles in the Dielmo village (located in the southeastern part of Senegal), we used residual fauna collected from 104 different rooms during four separate trips conducted in 1994 and 1995. Thanks Generalized Estimating Equations, we were able to identify factors influencing the distribution of Anopheles in the village. Several variables, such as the number of persons sleeping in the room, population density around the hut, construction materials, presence of mosquito nets, were found to be significant, while many spatial variables relevant to the scale of a region (vegetation index, distance to larval sites...) were not found to be significant on the village level. As a result, it became clear that it is difficult to correctly predict the anopheline density for each house even with precise spatial data created with Satellite imagery and Geographical Information Systems (GIS). This work highlights the complexity of the geographical study of anopheline density and its limits on a small space. |
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| 1 : | Institut Pasteur de Dakar |
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Institut Pasteur de Dakar – Réseau International des Instituts Pasteur |
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| 2 : | Conditions et territoires d'émergence des maladies (CTEM) |
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Institut de recherche pour le développement [IRD] : UR178 |
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| 3 : | Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC) |
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CNRS : UMR5290 – Institut de recherche pour le développement [IRD] : UMR224 – Université Montpellier I – Université Montpellier II - Sciences et techniques |
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| 4 : | Paludologie afrotropicale |
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Institut de recherche pour le développement [IRD] |
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| 5 : | Institut de Médecine Tropicale du Service de Santé des Armées (IMTSSA) |
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Service de Santé des Armées |
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| Domaine | : | Sciences de l'Homme et Société/Géographie Sciences du Vivant/Santé publique et épidémiologie |
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| Malaria – transmission – anopheles – GIS – Remote sensing – scale – Dielmo – Senegal |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00624606, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00624606 | |
| oai:hal.archives-ouvertes.fr:hal-00624606 | |
| Contributeur : Julie Vallée | |
| Soumis le : Lundi 19 Septembre 2011, 11:46:55 | |
| Dernière modification le : Lundi 19 Septembre 2011, 17:33:21 | |
