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

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 entomo...

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Detalles Bibliográficos
Autores: Južnič-Zonta, Živko, Sanpera-Calbet, Isis, Eritja, Roger, Palmer, John R. B., Escobar, Agustí, Garriga, Joan, Oltra, Aitana, Richter-Boix, Alex, Schaffner, Francis, della Torre, Alessandra, Miranda, Miguel Ángel, Koopmans, Marion, Barzon, Luisa, Bartumeus, Frederic, Mosquito Alert Digital Entomology Network, Mosquito Alert Community
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/56792
Acceso en línea:http://hdl.handle.net/10230/56792
http://dx.doi.org/10.46471/gigabyte.54
Access Level:acceso abierto
Palabra clave:Ecology
Taxonomy
Biodiversity
Descripción
Sumario: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.

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