Evidence map›Paper›PMID 32015375›Full record

ArticleScientific reports2020

Between roost contact is essential for maintenance of European bat lyssavirus type-2 in Myotis daubentonii bat reservoir: 'The Swarming Hypothesis'.

Daniel L Horton, Andrew C Breed, Mark E Arnold, Graham C Smith, James N Aegerter, Lorraine M McElhinney, Nick Johnson, Ashley C Banyard, Robert Raynor, Iain Mackie and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
1.3field-weighted citation impact, top 21% 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, 18 citations in OpenAlex.

  1. Review
  2. Bat Viral Shedding: A Review of Seasonal Patterns and Risk Factors.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2025
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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

15 authors at 7 institutions in 2 countries.

Daniel L Horton *Animal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.
Andrew C Breed *Animal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom. a.breed@uq.edu.au.ORCID http://orcid.org/0000-0002-3439-9510
Mark E ArnoldAnimal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.
Graham C SmithNational Wildlife Management Centre, Animal and Plant Health Agency, York, YO41 1LZ, United Kingdom.ORCID http://orcid.org/0000-0002-9897-6794
James N AegerterNational Wildlife Management Centre, Animal and Plant Health Agency, York, YO41 1LZ, United Kingdom.ORCID http://orcid.org/0000-0002-0608-508X
Lorraine M McElhinneyAnimal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.
Nick JohnsonAnimal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.
Ashley C BanyardAnimal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.ORCID http://orcid.org/0000-0002-1286-9825
Robert RaynorScottish Natural Heritage, Great Gen House, Leachkin Road, Inverness, IV3 8NW, United Kingdom.
Iain MackieInstitute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.
Matthew J DenwoodSchool of Veterinary Medicine, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, United Kingdom.ORCID http://orcid.org/0000-0001-5212-4273
Dominic J MellorSchool of Veterinary Medicine, University of Glasgow, 464 Bearsden Road, Glasgow, G61 1QH, United Kingdom.
Sue SwiftInstitute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.
Paul A RaceyInstitute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, United Kingdom.
Anthony R FooksAnimal and Plant Health Agency (Weybridge), Surrey, KT15 3NB, United Kingdom.
Animal and Plant Health Agency · GBUniversity of Aberdeen · GBUniversity of Liverpool · GBHealth Protection Scotland · GBQueensland University of Technology · AUScottish Natural Heritage · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many high-consequence human and animal pathogens persist in wildlife reservoirs. An understanding of the dynamics of these pathogens in their reservoir hosts is crucial to inform the risk of spill-over events, yet our understanding of these dynamics is frequently insufficient. Viral persistence in a wild bat population was investigated by combining empirical data and in-silico analyses to test hypotheses on mechanisms for viral persistence. A fatal zoonotic virus, European Bat lyssavirus type 2 (EBLV-2), in Daubenton's bats (Myotis daubentonii) was used as a model system. A total of 1839 M. daubentonii were sampled for evidence of virus exposure and excretion during a prospective nine year serial cross-sectional survey. Multivariable statistical models demonstrated age-related differences in seroprevalence, with significant variation in seropositivity over time and among roosts. An Approximate Bayesian Computation approach was used to model the infection dynamics incorporating the known host ecology. The results demonstrate that EBLV-2 is endemic in the study population, and suggest that mixing between roosts during seasonal swarming events is necessary to maintain EBLV-2 in the population. These findings contribute to understanding how bat viruses can persist despite low prevalence of infection, and why infection is constrained to certain bat species in multispecies roosts and ecosystems.

Indexed as

AnimalsBehavior, AnimalChiropteraCross-Sectional StudiesLyssavirusModels, StatisticalRhabdoviridae InfectionsSeroepidemiologic Studies

Identifiers

PMID32015375
PMCPMC6997190
OpenAlexW3004396803

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.