AIMC Topic: Phlebotomus

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Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

PloS one Apr 3, 2025
Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfly fever. Moreover, sandflies exhibit species-specificity in transmitting particular pathogen species, with females being responsible for disease trans...
Neural Networks, Computer Female Animals Male Deep Learning Species Specificity Insect Vectors Phlebotomus Psychodidae
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Species identification of phlebotomine sandflies using deep learning and wing interferential pattern (WIP).

Scientific reports Dec 4, 2023
Sandflies (Diptera; Psychodidae) are medical and veterinary vectors that transmit diverse parasitic, viral, and bacterial pathogens. Their identification has always been challenging, particularly at the specific and sub-specific levels, because it re...
Reproducibility of Results Animals Deep Learning Entomology Phlebotomus Psychodidae
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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 tropica Sep 7, 2018
The distribution and abundance of Phlebotomus papatasi, the primary vector of zoonotic cutaneous leishmaniasis in most semi-/arid countries, is a major public health challenge. This study compares several approaches to model the spatial distribution ...
Machine Learning Animals Ecosystem Geographic Information Systems Leishmaniasis, Cutaneous Area Under Curve Iran Environment Insect Vectors Phlebotomus
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