VectAbundance: a spatio-temporal database of Aedes mosquitoes observations.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
15 Jun 2024
15 Jun 2024
Historique:
received:
02
02
2024
accepted:
05
06
2024
medline:
16
6
2024
pubmed:
16
6
2024
entrez:
15
6
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38879616
doi: 10.1038/s41597-024-03482-y
pii: 10.1038/s41597-024-03482-y
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
636Informations de copyright
© 2024. The Author(s).
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