Evidence map›Paper›PMID 33562073›Full record

ArticleViruses2021

Characterizing and Evaluating the Zoonotic Potential of Novel Viruses Discovered in Vampire Bats.

Laura M Bergner, Nardus Mollentze, Richard J Orton, Carlos Tello, Alice Broos, Roman Biek, Daniel G Streicker

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  11. Review
  12. Article
  13. Bats-associated beta-coronavirus detection and characterization: First report from Pakistan.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023
    Article
  14. Review
  15. Viruses · 2022
    Review
  16. Molecular detection ofParasitology · 2022
    Article
  17. Article
  18. Article
  19. The science of the host-virus network.Nature microbiology · 2021
    Review
  20. The future of zoonotic risk prediction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    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

7 authors at 3 institutions in 2 countries.

Laura M BergnerInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0003-4169-7169
Nardus MollentzeInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0002-2452-6416
Richard J OrtonMRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.ORCID 0000-0002-3389-4325
Carlos TelloAssociation for the Conservation and Development of Natural Resources, Lima 15037, Peru.
Alice BroosMRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK.
Roman BiekInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.
Daniel G StreickerInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0001-7475-2705
MRC University of Glasgow Centre for Virus Research · GBCONAPAC · PEUniversity of Glasgow · GB

Funding

Medical Research Council MC_UU_12014/12Medical Research Council MC_UU_12014/8Wellcome Trust 102507/Z/13/AWellcome Trust 217221/Z/19/Z
6 · The paper itself

Abstract

The contemporary surge in metagenomic sequencing has transformed knowledge of viral diversity in wildlife. However, evaluating which newly discovered viruses pose sufficient risk of infecting humans to merit detailed laboratory characterization and surveillance remains largely speculative. Machine learning algorithms have been developed to address this imbalance by ranking the relative likelihood of human infection based on viral genome sequences, but are not yet routinely applied to viruses at the time of their discovery. Here, we characterized viral genomes detected through metagenomic sequencing of feces and saliva from common vampire bats (

Indexed as

AnimalsChiropteraDisease ReservoirsFecesGenome, ViralHumansMachine LearningMetagenomicsPhylogenyRabies virusSalivaVirusesZoonosesChiropteramachine learningphylogeneticsrabies viruswildlife diseasezoonosis

Identifiers

PMID33562073
PMCPMC7914986
OpenAlexW3126195647

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.