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

Živko Južnič-Zonta, Isis Sanpera-Calbet, Mosquito Alert Digital Entomology Network , Roger Eritja, John R B Palmer, Agustí Escobar, Joan Garriga, Aitana Oltra, Alex Richter-Boix, Francis Schaffner, Alessandra Della Torre, Miguel Ángel Miranda, Marion Koopmans, Luisa Barzon, Frederic Bartumeus Ferre

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Abstract

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.

Original languageEnglish
Number of pages13
JournalGigaByte (Hong Kong, China)
Volume2022
Early online date30 May 2022
DOIs
Publication statusPublished - 30 May 2022

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