Mosquito species identity matters: unraveling the complex interplay in vector-borne diseases

Ferraguti, Martina

doi:10.1080/23744235.2024.2357624

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2024

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Cited by 4 publications

References 45 publications

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Mosquito diversity, abundance and phenology in Mexico City: A heavily urbanized environment

Rodríguez-González,

Sánchez-Ochoa,

Huerta

et al. 2024

Acta Tropica

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Mosquito diversity, abundance and phenology in Mexico City: A heavily urbanized environment

Rodríguez-González,

Sánchez-Ochoa,

Huerta

et al. 2024

Acta Tropica

View full text Add to dashboard Cite

Landscape and climatic factors shaping mosquito abundance and species composition in southern Spain: A machine learning approach to the study of vector ecology

Ferraguti,

Magallanes,

Mora-Rubio

et al. 2024

Ecological Informatics

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Comprehensive Mosquito Wing Image Repository for Advancing Research on Geometric Morphometric- and AI-Based Identification

Nolte,

Agboli,

Azambuja Garcia

et al. 2024

Preprint

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Accurate identification of mosquito species is essential for effective vector control and mitigation of mosquito-borne disease outbreaks. Traditional morphological identification requires highly specialized personnel and is time-consuming, while molecular techniques can be cost-effective and dependent on comprehensive genetic information. Wing geometric morphometry has emerged as a promising alternative, leveraging detailed geometric measurements of wing shapes and vein patterns to distinguish between species and detect intraspecies variations. This paper presents a curated dataset of 18,104 mosquito wing images, collected from 10,500 mosquito specimens, annotated with extensive meta-information, designed to support research in wing geometric morphometry and the development of machine learning models, ultimately supporting efforts in vector surveillance and research.

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Mosquito species identity matters: unraveling the complex interplay in vector-borne diseases

Cited by 4 publications

References 45 publications

Mosquito diversity, abundance and phenology in Mexico City: A heavily urbanized environment

Mosquito diversity, abundance and phenology in Mexico City: A heavily urbanized environment

Landscape and climatic factors shaping mosquito abundance and species composition in southern Spain: A machine learning approach to the study of vector ecology

Comprehensive Mosquito Wing Image Repository for Advancing Research on Geometric Morphometric- and AI-Based Identification

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