Evidence map›Paper›PMID 28927433›Full record

ArticleParasites & vectors2017

Modelling the current distribution and predicted spread of the flea species Ctenocephalides felis infesting outdoor dogs in Spain.

Rosa Gálvez, Vicenzo Musella, Miguel A Descalzo, Ana Montoya, Rocío Checa, Valentina Marino, Oihane Martín, Giuseppe Cringoli, Laura Rinaldi, Guadalupe Miró

Abstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

10 authors.

Rosa GálvezDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain.
Vicenzo MusellaDepartment of Health Sciences, Magna Græcia University, Catanzaro, Italy.
Miguel A DescalzoUnidad de Investigación, Academia Española de Dermatología y Venereología, Calle Ferraz, 100, Madrid, Spain.
Ana MontoyaDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain.
Rocío ChecaDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain.
Valentina MarinoDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain.
Oihane MartínDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain.
Giuseppe CringoliDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Regional Centre for Monitoring of Parasitic Diseases, Campania Region, Naples, Italy.
Laura RinaldiDepartment of Veterinary Medicine and Animal Production, University of Naples Federico II, Regional Centre for Monitoring of Parasitic Diseases, Campania Region, Naples, Italy.
Guadalupe MiróDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, Spain. gmiro@ucm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cat flea, Ctenocephalides felis, is the most prevalent flea species detected on dogs and cats in Europe and other world regions. The status of flea infestation today is an evident public health concern because of their cosmopolitan distribution and the flea-borne diseases transmission. This study determines the spatial distribution of the cat flea C. felis infesting dogs in Spain. Using geospatial tools, models were constructed based on entomological data collected from dogs during the period 2013-2015. Bioclimatic zones, covering broad climate and vegetation ranges, were surveyed in relation to their size.

resultsThe models builded were obtained by negative binomial regression of several environmental variables to show impacts on C. felis infestation prevalence: land cover, bioclimatic zone, mean summer and autumn temperature, mean summer rainfall, distance to urban settlement and normalized difference vegetation index. In the face of climate change, we also simulated the future distributions of C. felis for the global climate model (GCM) "GFDL-CM3" and for the representative concentration pathway RCP45, which predicts their spread in the country.

conclusionsPredictive models for current climate conditions indicated the widespread distribution of C. felis throughout Spain, mainly across the central northernmost zone of the mainland. Under predicted conditions of climate change, the risk of spread was slightly greater, especially in the north and central peninsula, than for the current situation. The data provided will be useful for local veterinarians to design effective strategies against flea infestation and the pathogens transmitted by these arthropods.

Indexed as

Animal DistributionModels, StatisticalAnimalsCatsClimate ChangeCtenocephalidesDog DiseasesDogsFlea InfestationsPrevalenceSeasonsSpainSpatial AnalysisClimate changeCtenocephalides felisDogFleasGISSpain

Identifiers

PMID28927433
PMCPMC6389158

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LicenceCC BY
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Registered trials

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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.