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The FORESEE project is funded by INRAE's GISA Meta Programme on virus-host-environment interactions and factors leading to the emergence, spread and persistence of Rift Valley Fever (RVF) pathogens in Mauritania and Senegal.

Its objective is to understand the determinants related to the emergence, spread and persistence of RVF virus in the context of climate change and the reconfiguration of animal mobility in the Sahel for :

• map the interactions between viral genetic characteristics and the severity of the epidemic in space and time
• develop modelling tools (spatial, epidemiological and molecular) for the prediction, prevention and control of VFV epidemics
• create a network of laboratories with different areas of expertise for the exchange and transfer of knowledge to West African actors (risk maps according to the factors studied, evaluation of the means to control the disease, etc.).

More specifically, FORESEE's WP4 "Knowledge Integration and Predictive Modeling" is working to :

• Extend an existing generic modeling framework to vector-borne diseases
• Towards a predictive model for large-scale RVF propagation
• Testing Biological Assumptions and Evaluating Control Options

Publications [in bold the members of BIOEPAR]. :

Picault S., Huang Y.-L., Sicard V., Arnoux S., Beaunée G., Ezanno P. 2019. EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology. PLoS Comput. Biol. 15(9): e1007342. DOI:10.1371/journal.pcbi.1007342

Cecilia H. et al.  Spread and control of RVF in a sahelian context with respect to animal mobility, virus characteristics, and local climate conditions. 

Contact: Pauline Ezanno