Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management

  • Murielle Lafaye Centre National d’Etudes Spatiales (CNES), Toulouse, France.
  • Baba Sall Institut Pasteur de Dakar (IPD), Dakar, Senegal.
  • Youssou Ndiaye Institut Pasteur de Dakar (IPD), Dakar, Senegal.
  • Cécile Vignolles Centre National d’Etudes Spatiales (CNES), Toulouse, France.
  • Yves M. Tourre | yvestourre@aol.com Lamont Doherty Earth Observatory of Columbia University (LDEO), New York, United States.
  • François Borchi Météorologie Nationale, Services Climatologiques, Toulouse, France.
  • Jean-Michel Soubeyroux Météorologie Nationale, Services Climatologiques, Toulouse, France.
  • Mawlouth Diallo Direction des Services Vétérinaires (DSV), Dakar, Senegal.
  • Ibrahima Dia Direction des Services Vétérinaires (DSV), Dakar, Senegal.
  • Yamar Ba Direction des Services Vétérinaires (DSV), Dakar, Senegal.
  • Abdoulaye Faye Centre de Suivi Ecologique (CSE), Dakar, Senegal.
  • Taibou Ba Centre de Suivi Ecologique (CSE), Dakar, Senegal.
  • Alioune Ka Centre de Suivi Ecologique (CSE), Dakar, Senegal.
  • Jacques-André Ndione Centre de Suivi Ecologique (CSE), Dakar, Senegal.
  • Hélène Gauthier Association Reflets, Toulouse, France.
  • Jean-Pierre Lacaux Observatoire Midi-Pyrénées and Laboratoire d’Aérologie (OMP/LA), Toulouse,, France.

Abstract

The multi-disciplinary French project “Adaptation à la Fièvre de la Vallée du Rift” (AdaptFVR) has concluded a 10-year constructive interaction between many scientists/partners involved with the Rift Valley fever (RVF) dynamics in Senegal. The three targeted objectives reached were (i) to produce - in near real-time - validated risk maps for parked livestock exposed to RVF mosquitoes/vectors bites; (ii) to assess the impacts on RVF vectors from climate variability at different time-scales including climate change; and (iii) to isolate processes improving local livestock management and animal health. Based on these results, concrete, pro-active adaptive actions were taken on site, which led to the establishment of a RVF early warning system (RVFews). Bulletins were released in a timely fashion during the project, tested and validated in close collaboration with the local populations, i.e. the primary users. Among the strategic, adaptive methods developed, conducted and evaluated in terms of cost/benefit analyses are the larvicide campaigns and the coupled bio-mathematical (hydrological and entomological) model technologies, which are being transferred to the staff of the “Centre de Suivi Ecologique” (CSE) in Dakar during 2013. Based on the results from the AdaptFVR project, other projects with similar conceptual and modelling approaches are currently being implemented, e.g. for urban and rural malaria and dengue in the French Antilles.

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Published
2013-11-01
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Original Articles
Keywords:
Rift Valley fever, dynamic ponds modelling, early warning systems, Senegal.
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How to Cite
Lafaye, M., Sall, B., Ndiaye, Y., Vignolles, C., Tourre, Y. M., Borchi, F., Soubeyroux, J.-M., Diallo, M., Dia, I., Ba, Y., Faye, A., Ba, T., Ka, A., Ndione, J.-A., Gauthier, H., & Lacaux, J.-P. (2013). Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management. Geospatial Health, 8(1), 279-288. https://doi.org/10.4081/gh.2013.73

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