A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning
Bishop AP, Amatulli G, Hyseni C, Pless E, Bateta R, Okeyo WA, Mireji PO, Okoth S, Malele I, Murilla G, Aksoy S, Caccone A, Saarman NP. A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning. Evolutionary Applications 2021, 14: 1762-1777. PMID: 34295362, PMCID: PMC8288027, DOI: 10.1111/eva.13237.Peer-Reviewed Original ResearchGenetic dataVectors of humanLake Victoria basinAnimal African trypanosomiasisGenetic connectivityVector-borne disease transmissionFuture monitoring effortsMicrosatellite lociHabitat useImportant environmental predictorsHabitat suitabilityFuture climatic changesDispersal patternsVictoria basinEcological dataEnvironmental predictorsVector systemTsetse fliesTsetse speciesClimatic shiftsFliesClimatic changesSampling sitesMonitoring effortsVector control