ArticleParasite (Paris, France)2022
Assessment of expertise in morphological identification of mosquito species (Diptera, Culicidae) using photomicrographs.
Article in Parasite (Paris, France), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- MediLabSecure: A decade of One Health actions to prevent emerging vector-borne diseases in the Mediterranean, Sahel and Black Sea regions.One health (Amsterdam, Netherlands) · 2026Review
- A two-stage OOD-aware approach for mosquito species detection based on RT-DETRv2.Scientific reports · 2026Article
- Chemical composition and larvicidal efficacy of essential oils from three artemisia species endemic to the Mediterranean region againstFrontiers in plant science · 2026Article
- Estimating mosquito bionomics parameters with a hierarchical Bayesian model.Current research in parasitology & vector-borne diseases · 2026Article
- Potentials and limitations in the application of Convolutional Neural Networks for mosquito species identification using wing images.PLoS computational biology · 2025Article
- Article
- Assessment of MALDI-TOF MS for Arthropod Identification Based on Exuviae Spectra Analysis.Biological procedures online · 2025Article
- Accurate identification of medically importantCurrent research in parasitology & vector-borne diseases · 2025Article
- Using capillary electrophoresis to identify Anopheline species in routine sampling sites.Ecology and evolution · 2024Article
Corrections and comments
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Authors and funding
42 authors.
Funding
Abstract
Accurate identification of insect species is an indispensable and challenging requirement for every entomologist, particularly if the species is involved in disease outbreaks. The European MediLabSecure project designed an identification (ID) exercise available to any willing participant with the aim of assessing and improving knowledge in mosquito taxonomy. The exercise was based on high-definition photomicrographs of mosquitoes (26 adult females and 12 larvae) collected from the western Palaearctic. Sixty-five responses from Europe, North Africa and the Middle East were usable. The study demonstrated that the responders were better at identifying females (82% correct responses) than larvae (63%). When the responders reported that they were sure of the accuracy of their ID, the success rate of ID increased (92% for females and 88% for larvae). The top three tools used for ID were MosKeyTool (72% of responders), the ID key following Becker et al. [2010. Mosquitoes and their control, 2nd edn. Berlin: Springer] (38%), and the CD-ROM of Schaffner et al. [2001. Les moustiques d'Europe: logiciel d'identification et d'enseignement - The mosquitoes of Europe: an identification and training programme. Montpellier: IRD; EID] (32%), while other tools were used by less than 10% of responders. Responders reporting the identification of mosquitoes using the MosKeyTool were significantly better (80% correct responses) than non-MosKeyTool users (69%). Most responders (63%) used more than one ID tool. The feedback from responders in this study was positive, with the exercise being perceived as halfway between educational training and a fun quiz. It raised the importance of further expanding training in mosquito ID for better preparedness of mosquito surveillance and control programmes.
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