Please use this identifier to cite or link to this item: http://cris.unibe.edu.do/handle/123456789/450
Title: Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
Autores: Južnič-Zonta, Ž. et al.
Researchers (UNIBE): González, Mikel A. 
Affiliations: Instituto de Medicina Tropical y Salud Global (IMTSAG) 
Research area: Ciencias de la Vida; Ciencias de la Salud
Keywords: Ecology; Biodiversity; Taxonomy
Issue Date: 2022
Publisher: GigaScience Press
Source: Gigabyte, 54, 1-13; 2022
Journal: Gigabyte 
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.
URI: http://cris.unibe.edu.do/handle/123456789/450
DOI: https://doi.org/10.46471/gigabyte.54
Appears in Collections:Publicaciones del IMTSAG-UNIBE

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