Evidence map›Paper›PMID 30861028›Full record

ArticlePloS one2019

Genetic and spatial characterization of the red fox (Vulpes vulpes) population in the area stretching between the Eastern and Dinaric Alps and its relationship with rabies and canine distemper dynamics.

Bianca Zecchin, Marco De Nardi, Pierre Nouvellet, Cristiano Vernesi, Massimiliano Babbucci, Barbara Crestanello, Zoltán Bagó, Tomislav Bedeković, Peter Hostnik, Adelaide Milani and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessing Red Fox (Pathogens (Basel, Switzerland) · 2022
    Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Review
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

17 authors at 8 institutions in 5 countries.

Bianca ZecchinDepartment of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.ORCID 0000-0001-9566-6531
Marco De NardiDepartment of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.
Pierre NouvelletDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Cristiano VernesiDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy.
Massimiliano BabbucciDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, Italy.
Barbara CrestanelloDepartment of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, Italy.
Zoltán BagóAustrian Agency for Health and Food Safety (AGES), Institute for Veterinary Disease Control, Mödling, Austria.
Tomislav BedekovićDepartment of Virology, Croatian Veterinary Institute, Zagreb, Croatia.
Peter HostnikVirology Unit, Veterinary Faculty, Institute of Microbiology and Parasitology, University of Ljubljana, Ljubljana, Slovenia.
Adelaide MilaniDepartment of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.
Christl Ann DonnellyDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID 0000-0002-0195-2463
Luca BargelloniDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, Italy.
Monica LorenzettoDepartment of Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.
Carlo CitterioSCT2 Belluno, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Belluno, Italy.
Federica ObberSCT2 Belluno, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Belluno, Italy.
Paola De BenedictisDepartment of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.
Giovanni CattoliDepartment of Comparative Biomedical Sciences, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy.
Istituto Zooprofilattico Sperimentale delle Venezie · ITFondazione Edmund Mach · ITUniversity of Padua · ITAustrian Agency for Health and Food Safety · ATCroatian Veterinary Institute · HRImperial College London · GBNational Institute for Health Research · GBUniversity of Ljubljana · SI

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

Information on the population dynamics of a reservoir species have been increasingly adopted to understand and eventually predict the dispersal patterns of infectious diseases throughout an area. Although potentially relevant, to date there are no studies which have investigated the genetic structure of the red fox population in relation to infectious disease dynamics. Therefore, we genetically and spatially characterised the red fox population in the area stretching between the Eastern and Dinaric Alps, which has been affected by both distemper and rabies at different time intervals. Red foxes collected from north-eastern Italy, Austria, Slovenia and Croatia between 2006-2012, were studied using a set of 21 microsatellite markers. We confirmed a weak genetic differentiation within the fox population using Bayesian clustering analyses, and we were able to differentiate the fox population into geographically segregated groups. Our finding might be due to the presence of geographical barriers that have likely influenced the distribution of the fox population, limiting in turn gene flow and spread of infectious diseases. Focusing on the Italian red fox population, we observed interesting variations in the prevalence of both diseases among distinct fox clusters, with the previously identified Italy 1 and Italy 2 rabies as well as distemper viruses preferentially affecting different sub-groups identified in the study. Knowledge of the regional-scale population structure can improve understanding of the epidemiology and spread of diseases. Our study paves the way for an integrated approach for disease control coupling pathogen, host and environmental data to inform targeted control programs in the future.

Indexed as

DistemperMicrosatellite RepeatsRabiesAnimalsAustriaCroatiaDogsFemaleFoxesMalePrevalenceSlovenia

Identifiers

PMID30861028
PMCPMC6413928
OpenAlexW2922408569

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.