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Toward Near-Real Time Livestock Disease Risk Mapping

livestock_disease_risk_mapping
Risk of Rift Valley fever (RVF)

During the 2017 CSI Meeting in Cali, Catherine Pfeifer from ILRI presented an ongoing research work aiming to develop a near-real time livestock disease risk mapping in the East and Central Africa region. Applying a machine learning algorithm on disease surveillance data collected on the ground and a variety of geospatial data layers, this new approach generates maps showing the risk of viral zoonosis, associated with febrile illness in humans and widespread abortions in livestock. Key drivers of the disease risk were identified as the above-normal and persistent rainfall, flat terrain, low altitude, and high temperature.

Learn more about ILRI’s geospatial research from Catherine’s presentation:
Catherine Pfeifer (ILRI) 2017 – Center Update – CGIAR-CSI in Cali (Sep 22)

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