Evidence map›Paper›PMID 34044880›Full record

ArticleParasites & vectors2021

Spatio-temporal modelling of Culicoides Latreille (Diptera: Ceratopogonidae) populations on Reunion Island (Indian Ocean).

Yannick Grimaud, Annelise Tran, Samuel Benkimoun, Floriane Boucher, Olivier Esnault, Catherine Cêtre-Sossah, Eric Cardinale, Claire Garros, Hélène Guis

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Yannick GrimaudGDS Réunion, 1 rue du Père Hauck, 97418 La Plaine des Cafres, La Réunion, France. yannick.grimaud@gds974.re.
Annelise TranCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France.
Samuel BenkimounCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France.
Floriane BoucherCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France.
Olivier EsnaultGDS Réunion, 1 rue du Père Hauck, 97418 La Plaine des Cafres, La Réunion, France.
Catherine Cêtre-SossahCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France.
Eric CardinaleCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France.
Claire GarrosCIRAD, UMR ASTRE, Sainte-Clotilde, 97490, La Réunion, France. claire.garros@cirad.fr.
Hélène GuisASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReunion Island regularly faces outbreaks of bluetongue and epizootic hemorrhagic diseases, two insect-borne orbiviral diseases of ruminants. Hematophagous midges of the genus Culicoides (Diptera: Ceratopogonidae) are the vectors of bluetongue (BTV) and epizootic hemorrhagic disease (EHDV) viruses. In a previous study, statistical models based on environmental and meteorological data were developed for the five Culicoides species present in the island to provide a better understanding of their ecology and predict their presence and abundance. The purpose of this study was to couple these statistical models with a Geographic Information System (GIS) to produce dynamic maps of the distribution of Culicoides throughout the island.

methodsBased on meteorological data from ground weather stations and satellite-derived environmental data, the abundance of each of the five Culicoides species was estimated for the 2214 husbandry locations on the island for the period ranging from February 2016 to June 2018. A large-scale Culicoides sampling campaign including 100 farms was carried out in March 2018 to validate the model.

resultsAccording to the model predictions, no husbandry location was free of Culicoides throughout the study period. The five Culicoides species were present on average in 57.0% of the husbandry locations for C. bolitinos Meiswinkel, 40.7% for C. enderleini Cornet & Brunhes, 26.5% for C. grahamii Austen, 87.1% for C. imicola Kieffer and 91.8% for C. kibatiensis Goetghebuer. The models also showed high seasonal variations in their distribution. During the validation process, predictions were acceptable for C. bolitinos, C. enderleini and C. kibatiensis, with normalized root mean square errors (NRMSE) of 15.4%, 13.6% and 16.5%, respectively. The NRMSE was 27.4% for C. grahamii. For C. imicola, the NRMSE was acceptable (11.9%) considering all husbandry locations except in two specific areas, the Cirque de Salazie-an inner mountainous part of the island-and the sea edge, where the model overestimated its abundance.

conclusionsOur model provides, for the first time to our knowledge, an operational tool to better understand and predict the distribution of Culicoides in Reunion Island. As it predicts a wide spatial distribution of the five Culicoides species throughout the year and taking into consideration their vector competence, our results suggest that BTV and EHDV can circulate continuously on the island. As further actions, our model could be coupled with an epidemiological model of BTV and EHDV transmission to improve risk assessment of Culicoides-borne diseases on the island.

Indexed as

Animal DistributionAnimalsBluetongueBluetongue virusCattleCeratopogonidaeDeerDisease OutbreaksGoatsHemorrhagic Disease Virus, EpizooticHorsesIndian OceanInsect VectorsModels, StatisticalReunionRisk AssessmentBluetongueCulicoidesEpizootic hemorrhagic diseaseIndian OceanOcelet Modeling PlatformReunion IslandSpatio-temporal distribution

Identifiers

PMID34044880
PMCPMC8161615
OpenAlexW3156262015

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.