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Paper Details

Machine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran.
Acta Trop
28
2018
Ph. papatasi, Phlebotomus papatasi, sand, sand flies, vanilla, zoonotic cutaneous leishmaniasis
Animals, Area Under Curve, Ecosystem, Environment, Geographic Information Systems, Insect Vectors, Iran, Leishmaniasis, Cutaneous, Machine Learning, Phlebotomus
Author NameAffiliation
Abolfazl MollaloUniversity of Florida
Ali SadeghianUniversity of Florida
Glenn D IsraelUniversity of Florida
Parisa RashidiUniversity of Florida
Aioub SofizadehInfectious Diseases Research Center, Golestan University of Medical Sciences
Gregory E GlassUniversity of Florida, USA Emerging Pathogens Institute
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