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Modélisation de la distribution spatiale de formes moléculaire M et S d'Anopheles gambiae au Burkina Faso avec les SIG et l'analyse spatiale

Abstract : The anti-vectorial fight is an important constituent for vectorial borne diseases control. The knowledge of the vectors populations as well as their specific composition and spatiotemporal distribution is fundamental for the conception of the strategies of fight against this type of disease.This thesis modeled the spatial distribution of the molecular forms M and S of Anopheles gambiae s.s., major vectors of malaria in Burkina Faso. The modeling was made from the analysis of a series of observations concerning both the vectors and the environment.It proceeds of a combination of concepts and methods of biogeography with techniques and tools of spatial analysis, data analysis and the geographical information systems.We retain of this research work that the abundance of the molecular form S of Anopheles gambiae s.s., decreases as we move from wet regions of the south and the southwest to those the driest of the north and the northeast. The NDVI, the ETP, and the sunshine are the most determining factors of its spatial distribution.In contrast, the abundance of the molecular form M of Anopheles gambiae s.s. increases from the wet regions of the South and the southwest to those drier of the north and the northeast. The temperatures, the pressure, the sunshine and the NDVI are the most determining factors of this spatial distribution.Of these results, were diverted two models which we use to elaborate the Maps of distribution of the molecular forms M and S of Anopheles gambiae s.s.This thesis highlights also the role of the geographical approach in the reflection on health issues and its methodology could be tested on the other sites and for the other vectors of diseases. This methodology could be improved by multi-scale analysis and of temporal variability modeling.
Keywords : Modeling
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Yélézouomin Somé. Modélisation de la distribution spatiale de formes moléculaire M et S d'Anopheles gambiae au Burkina Faso avec les SIG et l'analyse spatiale. Histoire. Université d'Orléans, 2010. Français. ⟨NNT : 2010ORLE1108⟩. ⟨tel-00581100⟩

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