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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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Autores principales: 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 Ferre, Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: GigaScience Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930537/
https://www.ncbi.nlm.nih.gov/pubmed/36824520
http://dx.doi.org/10.46471/gigabyte.54
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author 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 Ferre, Frederic
author_facet 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 Ferre, Frederic
author_sort Južnič-Zonta, Živko
collection PubMed
description 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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spelling pubmed-99305372023-02-22 Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset 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 Ferre, Frederic GigaByte Data Release 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. GigaScience Press 2022-05-30 /pmc/articles/PMC9930537/ /pubmed/36824520 http://dx.doi.org/10.46471/gigabyte.54 Text en © The Author(s) 2022. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Release
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 Ferre, Frederic
Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title_full Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title_fullStr Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title_full_unstemmed Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title_short Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
title_sort mosquito alert: leveraging citizen science to create a gbif mosquito occurrence dataset
topic Data Release
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930537/
https://www.ncbi.nlm.nih.gov/pubmed/36824520
http://dx.doi.org/10.46471/gigabyte.54
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