Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus

Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus

Abstract Background Accurately determining the age and survival probabilities of adult mosquitoes is crucial for understanding parasite transmission, evaluating the effectiveness of control interventions and assessing disease risk in communities. This study was aimed at demonstrating the rapid ident...

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Bibliographic Details
Main Authors: Emmanuel P. Mwanga, Doreen J. Siria, Issa H. Mshani, Sophia H. Mwinyi, Said Abbasi, Mario Gonzalez Jimenez, Klaas Wynne, Francesco Baldini, Simon A. Babayan, Fredros O. Okumu
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Parasites & Vectors
Subjects:
Malaria
Anopheles funestus
Deep learning
Machine learning
Ifakara Health Institute
Mid-infrared spectroscopy
Online Access:https://doi.org/10.1186/s13071-024-06209-5

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