Evidence map›Paper›PMID 38879616›Full record

ArticleScientific data2024

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 and 24 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Daniele Da ReCenter Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy. daniele.dare@unitn.it.ORCID 0000-0002-3398-9295
Giovanni MariniResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.ORCID 0000-0001-9721-7211
Carmelo BonannellaOpenGeoHub Foundation, Doorwerth, The Netherlands.
Fabrizio LauriniDepartment of Economics and Management, University of Parma, Parma, Italy.
Mattia ManicaEpilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy.
Nikoleta AnicicInstitute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Mendrisio, Switzerland.
Alessandro AlbieriCentro Agricoltura Ambiente "G.Nicoli", Crevalcore, Italy.
Paola AngeliniEmilia Romagna region, Bologna, Italy.
Daniele ArnoldiResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Marharyta BlahaCenter Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy.ORCID 0009-0009-1236-4585
Federica BertolaFondazione Museo Civico di Rovereto, Rovereto, Italy.
Beniamino CaputoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Claudio De LiberatoIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy.
Alessandra Della TorreDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Eleonora FlacioInstitute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Mendrisio, Switzerland.
Alessandra FranceschiniMUSE-Museo delle Scienze, Trento, Italy.
Francesco GradoniIstituto Zooprofilattico Sperimentale delle Venezie, Padua, Italy.
Përparim KadriajInstitute of Public Heatlh, Tirana, Albania.
Valeria LencioniMUSE-Museo delle Scienze, Trento, Italy.ORCID 0000-0002-4341-9923
Irene Del LestoIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy.
Francesco La RussaIstituto Zooprofilattico Sperimentale della Sicilia "A. Mirri", Palermo, Italy.
Riccardo Paolo LiaDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Fabrizio MontarsiIstituto Zooprofilattico Sperimentale delle Venezie, Padua, Italy.
Domenico OtrantoDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Gregory L'AmbertEID Mediterranée, Montpellier, France.
Annapaola RizzoliResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.
Pasquale RombolàIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy.
Federico RomitiIstituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Viterbo, Italy.
Gionata StancherFondazione Museo Civico di Rovereto, Rovereto, Italy.
Alessandra TorinaDepartment of Veterinary Medicine, University of Bari, Bari, Italy.
Enkelejda VeloInstitute of Public Heatlh, Tirana, Albania.
Chiara VirgillitoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Fabiana ZandonaiFondazione Museo Civico di Rovereto, Rovereto, Italy.
Roberto RosàCenter Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AedesAlbaniaAnimalsDatabases, FactualFranceItalyMosquito VectorsPopulation DynamicsSwitzerland

Identifiers

PMID38879616
PMCPMC11180130

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.