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.
VectAbundance. A spatio-temporal database of Aedes mosquitoes observations / Da Re, Daniele; Marini, Giovanni; Bonannella, Carmelo; Laurini, Fabrizio; Manica, Mattia; Anicic, Nikoleta; Albieri, Alessandro; Angelini, Paola; Arnoldi, Daniele; Blaha, Marharyta; Bertola, Federica; Caputo, Beniamino; De Liberato, Claudio; Della Torre, Alessandra; Flacio, Eleonora; Franceschini, Alessandra; Gradoni, Francesco; Kadriaj, Përparim; Lencioni, Valeria; Del Lesto, Irene; La Russa, Francesco; Lia, Riccardo Paolo; Montarsi, Fabrizio; Otranto, Domenico; L'Ambert, Gregory; Rizzoli, Annapaola; Rombolà, Pasquale; Romiti, Federico; Stancher, Gionata; Torina, Alessandra; Velo, Enkelejda; Virgillito, Chiara; Zandonai, Fabiana; Rosà, Roberto. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 11:1(2024), pp. 1-10. [10.1038/s41597-024-03482-y]
VectAbundance. A spatio-temporal database of Aedes mosquitoes observations
Caputo, Beniamino;della Torre, Alessandra;Virgillito, Chiara;
2024
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.| File | Dimensione | Formato | |
|---|---|---|---|
|
Da Re_VectAbundance_2024.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
1.8 MB
Formato
Adobe PDF
|
1.8 MB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
