Scientific Data (Jun 2024)
VectAbundance: a spatio-temporal database of Aedes mosquitoes observations
- Daniele Da Re,
- Giovanni Marini,
- Carmelo Bonannella,
- Fabrizio Laurini,
- Mattia Manica,
- Nikoleta Anicic,
- Alessandro Albieri,
- Paola Angelini,
- Daniele Arnoldi,
- Marharyta Blaha,
- Federica Bertola,
- Beniamino Caputo,
- Claudio De Liberato,
- Alessandra della Torre,
- Eleonora Flacio,
- Alessandra Franceschini,
- Francesco Gradoni,
- Përparim Kadriaj,
- Valeria Lencioni,
- Irene Del Lesto,
- Francesco La Russa,
- Riccardo Paolo Lia,
- Fabrizio Montarsi,
- Domenico Otranto,
- Gregory L’Ambert,
- Annapaola Rizzoli,
- Pasquale Rombolà,
- Federico Romiti,
- Gionata Stancher,
- Alessandra Torina,
- Enkelejda Velo,
- Chiara Virgillito,
- Fabiana Zandonai,
- Roberto Rosà
Affiliations
- Daniele Da Re
- Center Agriculture Food Environment, University of Trento
- Giovanni Marini
- Research and Innovation Centre, Fondazione Edmund Mach
- Carmelo Bonannella
- OpenGeoHub Foundation
- Fabrizio Laurini
- Department of Economics and Management, University of Parma
- Mattia Manica
- Epilab-JRU, FEM-FBK Joint Research Unit
- Nikoleta Anicic
- Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
- Alessandro Albieri
- Centro Agricoltura Ambiente “G.Nicoli”
- Paola Angelini
- Emilia Romagna region
- Daniele Arnoldi
- Research and Innovation Centre, Fondazione Edmund Mach
- Marharyta Blaha
- Center Agriculture Food Environment, University of Trento
- Federica Bertola
- Fondazione Museo Civico di Rovereto
- Beniamino Caputo
- Department of Public Health and Infectious Diseases, Sapienza University of Rome
- Claudio De Liberato
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”
- Alessandra della Torre
- Department of Public Health and Infectious Diseases, Sapienza University of Rome
- Eleonora Flacio
- Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
- Alessandra Franceschini
- MUSE-Museo delle Scienze
- Francesco Gradoni
- Istituto Zooprofilattico Sperimentale delle Venezie
- Përparim Kadriaj
- Institute of Public Heatlh
- Valeria Lencioni
- MUSE-Museo delle Scienze
- Irene Del Lesto
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”
- Francesco La Russa
- Istituto Zooprofilattico Sperimentale della Sicilia “A. Mirri”
- Riccardo Paolo Lia
- Department of Veterinary Medicine, University of Bari
- Fabrizio Montarsi
- Istituto Zooprofilattico Sperimentale delle Venezie
- Domenico Otranto
- Department of Veterinary Medicine, University of Bari
- Gregory L’Ambert
- EID Mediterranée
- Annapaola Rizzoli
- Research and Innovation Centre, Fondazione Edmund Mach
- Pasquale Rombolà
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”
- Federico Romiti
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana “M. Aleandri”
- Gionata Stancher
- Fondazione Museo Civico di Rovereto
- Alessandra Torina
- Department of Veterinary Medicine, University of Bari
- Enkelejda Velo
- Institute of Public Heatlh
- Chiara Virgillito
- Department of Public Health and Infectious Diseases, Sapienza University of Rome
- Fabiana Zandonai
- Fondazione Museo Civico di Rovereto
- Roberto Rosà
- Center Agriculture Food Environment, University of Trento
- DOI
- https://doi.org/10.1038/s41597-024-03482-y
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 10
Abstract
Abstract Modelling approaches play a crucial role in supporting local public health agencies by estimating and forecasting vector abundance and seasonality. However, the reliability of these models is contingent on the availability of standardized, high-quality data. Addressing this need, our study focuses on collecting and harmonizing egg count observations of the mosquito Aedes albopictus, obtained through ovitraps in monitoring and surveillance efforts across Albania, France, Italy, and Switzerland from 2010 to 2022. We processed the raw observations to obtain a continuous time series of ovitraps observations allowing for an extensive geographical and temporal coverage of Ae. albopictus population dynamics. The resulting post-processed observations are stored in the open-access database VectAbundance.This initiative addresses the critical need for accessible, high-quality data, enhancing the reliability of modelling efforts and bolstering public health preparedness.
