Evidence map›Paper›PMID 36348368›Full record

ArticleParasites & vectors2022

dynamAedes: a unified modelling framework for invasive Aedes mosquitoes.

Daniele Da Re, Wim Van Bortel, Friederike Reuss, Ruth Müller, Sebastien Boyer, Fabrizio Montarsi, Silvia Ciocchetta, Daniele Arnoldi, Giovanni Marini, Annapaola Rizzoli and 5 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Scaling artificial light at night and disease vector interactions into socio-ecological systems: a conceptual appraisal.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  13. Article
  14. Behavior of AdultTropical medicine and infectious disease · 2023
    Article
  15. Article
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

15 authors at 9 institutions in 7 countries.

Daniele Da Re *Georges Lemaître Center for Earth and Climate Research, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium. daniele.dare@uclouvain.be.ORCID http://orcid.org/0000-0002-3398-9295
Wim Van BortelUnit Entomology and the Outbreak Research Team, Tropical Medicine Institute, Antwerp, Belgium.ORCID http://orcid.org/0000-0002-6644-518X
Friederike ReussSenckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany.
Ruth MüllerUnit Entomology and the Outbreak Research Team, Tropical Medicine Institute, Antwerp, Belgium.ORCID http://orcid.org/0000-0003-3909-3876
Sebastien BoyerMedical and Veterinary Entomology Unit, Institute Pasteur du Cambodge, Phnom Penh, Cambodia.ORCID http://orcid.org/0000-0002-2946-586X
Fabrizio MontarsiLaboratory of Parasitology, National reference centre/OIE collaborating centre for diseases at the animal-human interface, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
Silvia CiocchettaThe University of Queensland, School of Veterinary Science, Gatton, Australia.ORCID http://orcid.org/0000-0001-5007-8541
Daniele ArnoldiResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-1287-697X
Giovanni MariniResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0001-9721-7211
Annapaola RizzoliResearch and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0003-3997-6783
Gregory L'AmbertEID Méditerranée, Direction Technique, Montpellier, France.
Guillaume LacourAltopictus, Pérols, Mérignac, France.ORCID http://orcid.org/0000-0002-9588-6064
Constantianus J M KoenraadtWageningen University & Research, Department of Plant Sciences, Laboratory of Entomology, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0001-7861-8781
Sophie O VanwambekeGeorges Lemaître Center for Earth and Climate Research, Earth and Life Institute, UCLouvain, Louvain-la-Neuve, Belgium.ORCID http://orcid.org/0000-0001-6620-6173
Matteo Marcantonio *Evolutionary Ecology and Genetics Group, Earth and Life Institute, UC Louvain, Louvain-la-Neuve, Belgium. marcantoniomatteo@gmail.com.ORCID http://orcid.org/0000-0003-3896-2355
Fondazione Edmund Mach · ITUCLouvain · BEInstituut voor Tropische Geneeskunde · BEGoethe University Frankfurt · DEInstitut de Neurobiologie de la Méditerranée · FRInstitut Pasteur du Cambodge · KHIstituto Zooprofilattico Sperimentale delle Venezie · ITThe University of Queensland · AUWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito species belonging to the genus Aedes have attracted the interest of scientists and public health officers because of their capacity to transmit viruses that affect humans. Some of these species were brought outside their native range by means of trade and tourism and then colonised new regions thanks to a unique combination of eco-physiological traits. Considering mosquito physiological and behavioural traits to understand and predict their population dynamics is thus a crucial step in developing strategies to mitigate the local densities of invasive Aedes populations. Here, we synthesised the life cycle of four invasive Aedes species (Ae. aegypti, Ae. albopictus, Ae. japonicus and Ae. koreicus) in a single multi-scale stochastic modelling framework which we coded in the R package dynamAedes. We designed a stage-based and time-discrete stochastic model driven by temperature, photo-period and inter-specific larval competition that can be applied to three different spatial scales: punctual, local and regional. These spatial scales consider different degrees of spatial complexity and data availability by accounting for both active and passive dispersal of mosquito species as well as for the heterogeneity of the input temperature data. Our overarching aim was to provide a flexible, open-source and user-friendly tool rooted in the most updated knowledge on the species' biology which could be applied to the management of invasive Aedes populations as well as to more theoretical ecological inquiries.

Indexed as

AedesAnimalsHumansIntroduced SpeciesLarvaMosquito VectorsPopulation DynamicsTemperatureBiological invasionsDispersalInsectsInvasion ecologyMosquitoesProcess-based modelsSpatial epidemiologyVector-borne pathogens

Identifiers

PMID36348368
PMCPMC9641901
OpenAlexW4308684158

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.