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    A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning. Evolutionary Applications. 

    Unknown author (PMC US National Library of Medicine National Institutes of Health, 2021)
    Vector control is an effective strategy for reducing vector‐borne disease transmission, but requires knowledge of vector habitat use and dispersal patterns. Our goal was to improve this knowledge for the tsetse species ...

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    Subject
    : disease vector, gene flow, habitat suitability, landscape genetics, random forest, spatial modeling (1)
    ... View MoreDate Issued2021 (1)Has File(s)Yes (1)

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