Field evaluation of an automated mosquito surveillance system which classifies Aedes and Culex mosquitoes by genus and sex

Field evaluation of an automated mosquito surveillance system which classifies Aedes and Culex mosquitoes by genus and sex

Abstract Background Mosquito-borne diseases are a major concern for public and veterinary health authorities, highlighting the importance of effective vector surveillance and control programs. Traditional surveillance methods are labor-intensive and do not provide high temporal resolution, which may...

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Bibliographic Details
Main Authors: María I. González-Pérez, Bastian Faulhaber, Carles Aranda, Mark Williams, Pancraç Villalonga, Manuel Silva, Hugo Costa Osório, Joao Encarnaçao, Sandra Talavera, Núria Busquets
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Parasites & Vectors
Subjects:
Aedes
Automated classification
Culex
Field study
Machine learning
Mosquito surveillance
Online Access:https://doi.org/10.1186/s13071-024-06177-w

Internet

https://doi.org/10.1186/s13071-024-06177-w

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