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Applied Mathematics Seminar

Conference/Seminar

Title: Integrating genetic and environmental data to model and forecast movement and habitat use in the major insect vector of sleeping sickness in Uganda (Glossina fuscipes fuscipes).

Speaker: Norah Saarman, Biology Department, USU

ZOOM ID: 945 1753 3441 PWD: USUAMS

Abstract: Tsetse flies (genus Glossina) are the obligate vectors of the trypanosome parasite that cause animal nagana and human sleeping sickness. One of the most effective strategies in controlling these dangerous and costly diseases is through vector control. Establishing feasible programs that reduce on-the-ground disease risk require knowledge of vector movement and habitat use. We use a novel machine learning strategy based on genetic data, field records, and remotely-sensed environmental data to model and predict both vector movement and habitat use across the landscape.

3:30 pm - 4:30 pm |
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