Acta Biotheoretica

, Volume 62, Issue 3, pp 405–415

Decision Making Environment on Rift Valley Fever in Ferlo (Senegal)

  • Fanta Bouba
  • Alassane Bah
  • Christophe Cambier
  • Samba Ndiaye
  • Jacques-André Ndione
  • Maguelonne Teisseire
Regular Article

DOI: 10.1007/s10441-014-9235-7

Cite this article as:
Bouba, F., Bah, A., Cambier, C. et al. Acta Biotheor (2014) 62: 405. doi:10.1007/s10441-014-9235-7
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Abstract

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.

Keywords

Data mining Decision-making system Multidimensional modelling Rift Valley fever Spatio-temporal patterns 

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Fanta Bouba
    • 1
    • 2
  • Alassane Bah
    • 1
    • 3
  • Christophe Cambier
    • 2
    • 4
  • Samba Ndiaye
    • 1
  • Jacques-André Ndione
    • 5
  • Maguelonne Teisseire
    • 6
  1. 1.UMI 209, UMMISCO-UCADDakarSenegal
  2. 2.UPMCParisFrance
  3. 3.ESP/UCADDakarSenegal
  4. 4.UMI 209, UMMISCO-IRDBondyFrance
  5. 5.CSE and LPA/UCADDakarSenegal
  6. 6.TETIS - IrsteaMontpellierFrance

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