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, Frederic; Mosquito Alert Digital Entomology Network; Mosquito Alert Community

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

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dc.contributor.author Južnič-Zonta, Živko
dc.contributor.author Sanpera-Calbet, Isis
dc.contributor.author Eritja, Roger
dc.contributor.author Palmer, John R. B.
dc.contributor.author Escobar, Agustí
dc.contributor.author Garriga, Joan
dc.contributor.author Oltra, Aitana
dc.contributor.author Richter-Boix, Alex
dc.contributor.author Schaffner, Francis
dc.contributor.author della Torre, Alessandra
dc.contributor.author Miranda, Miguel Ángel
dc.contributor.author Koopmans, Marion
dc.contributor.author Barzon, Luisa
dc.contributor.author Bartumeus, Frederic
dc.contributor.author Mosquito Alert Digital Entomology Network
dc.contributor.author Mosquito Alert Community
dc.date.accessioned 2023-05-12T06:23:55Z
dc.date.available 2023-05-12T06:23:55Z
dc.date.issued 2022
dc.description.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.
dc.description.sponsorship This work was supported by: 2021–2022 Fair Computational Epidemiology (FACE); Plataforma Temática Interdisciplinar PTI+ Salud Global, Consejo Superior de Investigaciones Científicas (CSIC); Grant No.: N/A. 2020–2025 Human-Mosquito Interaction Project: Host-vector networks, mobility and the socio-ecological context of mosquito-borne disease; European Research Council (ERC); Grant No.: 853271. 2020–2021 Strengthening Barcelona’s Defenses Against Disease-Vector Mosquitoes: Automatically Calibrated Citizen-Based Surveillance, Barcelona Ciència; Ajuntament de Barcelona, Institut de Cultura; Grant No.: BCNPC/00041. 2020–2024 VEO: Versatile Emerging infectious disease Observatory, H2020 SC1-BHC-13-2019; European Commission (EC); Grant No.: 874735. 2020–2025 Preparing for vector-borne virus outbreaks in a changing world: a One Health Approach; Dutch National Research Agenda (NWA); Grant No.: NWA/00686468. 2019–2021 Big Mosquito Bytes: Community-Driven Big Data Intelligence to Fight Mosquito-Borne Disease; Fundació “La Caixa”, Health Research 2018 “la Caixa” Banking Foundation; Grant No.: HR19-00336. 2018–2022 Aedes Invasive Mosquitoes (AIM), COST ACTION OC-2017-1-22105; European Cooperation in Science and Technology (COST); Grant No.: CA17108. 2018 Mosquito Alert: programa para investigar y controlar mosquitos vectores de enfermedades como el Dengue, el Chikungunya y el Zika; Fundació “La Caixa”; Grant No.: N/A. 2017–2019 Plataforma Integral per al Control de l’Arbovirosis a Catalunya (PICAT); Departament de Salut, Programa PERIS 2016–2020, Generalitat de Catalunya; Grant No.: 00466. 2016–2018 Ciència ciutadana per a la millora de la gestió i els models predictius de dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut de Girona (DIPSALUT); Grant No.: N/A. 2016 Nuevas herramientas de participación en ciencia ciudadana: laboratorios de validación y cocreación para AtrapaelTigre.com; Fundación Española para la Ciencia y la Tecnología (FECYT); Grant No.: FCT-15-9515. 2016–2017 Mosquito Alert: programa para investigar y controlar mosquitos vectores de enfermedades como el Dengue, el Chikungunya y el Zika; Fundació “La Caixa”; Grant No.: N/A. 2016–2017 Ciència ciutadana per a la millora de la gestió i els models predictius de dispersió i distribució real de mosquit tigre a la Província de Girona; Diputació de Salut de Girona (DIPSALUT); Grant No.: N/A. 2015–2016 Citizens-based early warning systems for invasive species and disease vectors: The case of the Asian Tiger mosquito; Fundació “La Caixa” and Centre de Recerca Ecològica i Aplicacions Forestals (CREAF); Grant No.: N/A. 2014–2016 Invasión del mosquito tigre en España: Salud pública y cambio global; Ministerio de Economía y Competitividad, Plan Estatal I+D+I; Grant No.: CGL2013-43139-R. 2014 Diseño e implementación de un sistema ciudadano de alerta y seguimiento del mosquito tigre: ciencia en sociedad (Atrapa el Tigre 2.0); Fundación Española para la Ciencia y la Tecnología (FECYT); Grant No.: FCT-13-701955.
dc.format.mimetype application/pdf
dc.identifier.citation Južnič-Zonta Ž, Sanpera-Calbet I, Eritja R, Palmer JRB, Escobar A, Garriga J, Oltra A, Richter-Boix A, Schaffner F, della Torre A, Miranda MÁ, Koopmans M, Barzon L, Bartumeus Ferre F, Mosquito Alert Digital Entomology Network, Mosquito Alert Community. Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset. Gigabyte. 2022. 13 p. DOI: 10.46471/gigabyte.54
dc.identifier.doi http://dx.doi.org/10.46471/gigabyte.54
dc.identifier.issn 2709-4715
dc.identifier.uri http://hdl.handle.net/10230/56792
dc.language.iso eng
dc.publisher GigaScience Press
dc.relation.ispartof Gigabyte. 2022. 13 p.
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/853271
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/874735
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FCT-15-9515
dc.rights 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.
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.keyword Ecology
dc.subject.keyword Taxonomy
dc.subject.keyword Biodiversity
dc.title Mosquito alert: leveraging citizen science to create a GBIF mosquito occurrence dataset
dc.type info:eu-repo/semantics/article
dc.type.version info:eu-repo/semantics/publishedVersion

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