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Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset

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Advisor(s)

Abstract(s)

The Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems.

Description

Mosquito Alert Digital Entomology Network collaborators: Hugo Costa Osório (INSA-CEVDI)
Article series: Vectors of human disease series

Keywords

Mosquito Mosquito Alert Dataset Ecology Taxonomy Biodiversity Mosquito Vectors Surveillance Vector-borne Diseases Europe Doenças Infecciosas Infecções Sistémicas e Zoonoses

Pedagogical Context

Citation

Gigabyte. 2022 May 30.. doi: 10.46471/gigabyte.54

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Journal Issue

Publisher

GigaScience Press

CC License

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