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Published March 23, 2022 | Version submitted_GigaByteJournal
Preprint Open

Mosquito Alert - Leveraging Citizen Science to Create a GBIF Mosquito Occurrence Dataset

  • 1. Centre d'Estudis Avançats de Blanes (CEAB-CSIC)
  • 2. Universitat Pompeu Fabra (UPF)
  • 3. Centre de Recerca Ecològica i Aplicacions Forestals (CREAF)
  • 4. Francis Schaffner Consultancy (FSC)
  • 5. Sapienza University, Department Public Health and Infectious Diseases (UNIROMA1)
  • 6. University Balearic Islands, Applied Zoology and Animal Conservation Research Group (UIB)
  • 7. Erasmus University Medical Center (Erasmus MC)
  • 8. Università degli Studi di Padova, Department of Molecular Medicine (UNIPV)
  • 9. Entomological experts that validated the dataset; a list of authors and their affiliations appears in the Appendix
  • 10. Citizen scientists and community builders that actively participate in the Mosquito Alert project (www.mosquitoalert.com)

Description

Here we present the Mosquito Alert dataset, which includes occurrence records of adult mosquitoes. The records were collected through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Each record presented in the database is linked to a photograph submitted by a citizen scientist and validated by entomological experts to determine if it provides evidence of the presence of any of five targeted mosquito vectors of top concern in Europe (i.e. Aedes albopictus, Aedes aegypti, Aedes japonicus, Aedes koreicus, Culex pipiens). The temporal coverage of the database is from 2014 through 2021 and the spatial coverage is worldwide. Most of the records from 2014 to 2020 are from Spain, reflecting the fact that the project was funded by Spanish national and regional funding agencies, and since Autumn 2020 the dataset expanded across Europe, being most of the records from The Netherlands, Italy, and Hungary. The European expansion is made possible thanks to a
human volunteering network of entomologists coordinated by the AIM-COST Action, and the development of  technological scalability through the VEO project. Among many possible applications, Mosquito Alert helps to facilitate the development of citizen-based early warning systems for mosquito-borne disease risk. This dataset can be further re-used for modelling vector exposure risk or training machine-learning detection and classification routines on the linked images, to help experts in data validation and build up automated alert systems.

Files

Mosquito Alert - Leveraging Citizen Science to Create a GBIF Mosquito Occurrence Dataset.pdf