Dr. Ibrahima Diouf

My study was mainly applied to experimental malaria predictions in the framework of the NOAA’s Climate Prediction Center, with access to global climate observations and model data and expertise in the monitoring and forecasting of the global climate system, which provides access to operational real-time climate information that can enable decision making in various socio-economic sectors, including public health. I work on climate monitoring and modeling the impact of climate change on health. I have acquired excellent working knowledge of computers, and I am experienced in the data analysis of observation and model output data and diagnostic studies of models such as the LMM model (Liverpool Malaria Model) and the VECTRI model (Vector-borne disease community model of the international centre for theoretical physics, Trieste). I am building a detailed climate and health database in order to describe the spatiotemporal characteristics of climate–health relationships at a national scale within the Senegal National Adaptation Plan Support Project—Global Environment Fund (NAP-GEF). Considering various indices of targeted diseases (malaria, meningitis, rift valley fever, dengue, and non-communicable diseases), we assess the degree of transmission of those diseases in Senegal for historical and future projections based on a combination of the SSPs produced within the CMIP6 project.