MODIRISK: Mosquito vectors of disease, collection, monitoring and longitudinal data from Belgium

Van Bortel, Wim;Versteirt, Veerle;Dekoninck, Wouter;Hance, Thierry;Hendrickx, Guy;et.al.
(2022) Gigabyte — Vol. 2022, p. 1-15 (2022)

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Authors
  • Van Bortel, Wimorcid-logoInstitute of Tropical Medicine (ITG), Nationalestraat, 155, 2000, Antwerpen, Belgium
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  • Versteirt, Veerleorcid-logoAgency for Nature and Forests, (ANB), Havenlaan 88 b75, 1000, Brussels, Belgium
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  • Dekoninck, Wouterorcid-logoRoyal Belgian Institute for Natural Sciences (RBINS), Vautierstraat 29, 1000, Brussels, Belgium
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  • Hendrickx, Guyorcid-logoAvia-GIS NV, Risschotlei 33, 2980, Zoersel, Belgium
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Abstract
The MODIRISK project studied mosquito biodiversity and monitored and predicted biodiversity changes, to actively prepare to address issues of biodiversity change, especially invasive species and new pathogen risks. This work is essential given continuing global changes that may create suitable conditions for invasive species spread and the (re-)emergence of vector-borne diseases in Europe. Key strengths of MODIRISK, in the context of sustainable development, were the links between biodiversity and health and the environment, and its contribution to the development of tools for describing the spatial distribution of mosquito biodiversity. MODIRISK addressed key topics of the global Diversitas initiative, which was a main driver of the Belspo ‘Science for a Sustainable Development’ research program. Three different MODIRISK datasets were published in the Global Biodiversity Information Facility (GBIF): the Collection dataset (the Culicidae collection of the Museum of Natural History in Brussels); the Inventory dataset (data from the MODIRISK inventory effort); and the Longitudinal dataset (experiment data used for risk assessments).
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Citations

Van Bortel, W., Versteirt, V., Dekoninck, W., Hance, T., Brosens, D., & Hendrickx, G. (2022). MODIRISK: Mosquito vectors of disease, collection, monitoring and longitudinal data from Belgium. Gigabyte, 2022, 1-15. https://doi.org/10.46471/gigabyte.58 (Original work published 2022)