Rift Valley Fever (RVF) risks in Senegal using high-resolution remote sensing

摘要

During the rainy season, from rainfall events and ponds dynamic in the Barkedji area (Senegal), detailed zones potentially occupied by mosquitoes (ZPOM), and exposure to RVF virus transmission are produced. To that purpose, remotely sampled ponds (from high resolution SPOT-5 images) and rainfall events (from TRMM project) data combined with in-situ measurements (entomology, limnimetry, hydrology, virology) and hosts location (parked ruminants, from QuickBird satellite), are used. The 'Aedes vexans productive rainfall events' are associated with vectors embryogenesis (i.e., 6 days without rain are necessary to trigger hatching). The dynamical spatio-temporal distribution of the Aedes vexans density is presented. Combined with aggressiveness temporal profiles, detailed mapping of ZPOM are obtained on a operational basis. Risks zones (i.e., hazards + vulnerability) and percentage of parked animals under threats, can thus be derived. This methodology is meant to contribute to the implementation of a new operational Early Warning Systems for RVF, or RVFEWS, and is to be applied elsewhere for other vector-borne diseases.