Decision making environment on rift valley fever in ferlo (Senegal)
2014
Bouba, Fanta | Bah, Alassane | Cambier, Christophe | Ndiaye, Samba | Ndione, Jacques-André | Teisseire, Maguelonne | Université Pierre et Marie Curie - Paris 6 (UPMC) | Institut de Recherche pour le Développement (IRD) | Unité de modélisation mathématique et informatique des systèmes complexes [Bondy] (UMMISCO) ; Université Gaston Berger de Saint-Louis Sénégal (UGB)-Université de Yaoundé I (UY1)-Institut de la francophonie pour l'informatique-Université Cadi Ayyad [Marrakech] (UCA)-Sorbonne Université (SU)-Institut de Recherche pour le Développement (IRD [Ile-de-France])-Université Cheikh Anta Diop de Dakar [Sénégal] (UCAD) | Université Cheikh Anta Diop de Dakar [Sénégal] (UCAD) | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-SISO
显示更多 [+] 显示较少 [-]International audience
显示更多 [+] 显示较少 [-]英语. The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space-time epidemiology monitoring purpose.
显示更多 [+] 显示较少 [-]