Evidence map›Paper›PMID 24958867›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Contact between bird species of different lifespans can promote the emergence of highly pathogenic avian influenza strains.

Paul S Wikramaratna, Oliver G Pybus, Sunetra Gupta

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Paul S WikramaratnaDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom; andInstitute of Evolutionary Biology, Ashworth Laboratories, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom; and.
Sunetra GuptaDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom; and sunetra.gupta@zoo.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreaks of highly pathogenic strains of avian influenza viruses (AIVs) cause considerable economic losses to the poultry industry and also pose a threat to human life. The possibility that one of these strains will evolve to become transmissible between humans, sparking a major influenza pandemic, is a matter of great concern. Most studies so far have focused on assessing these odds from the perspective of the intrinsic mutability of AIV rather than the ecological constraints to invasion faced by the virus population. Here we present an alternative multihost model for the evolution of AIV in which the mode and tempo of mutation play a limited role, with the emergence of strains being determined instead principally by the prevailing profile of population-level immunity. We show that (i) many of the observed differences in influenza virus dynamics among species can be captured by our model by simply varying host lifespan and (ii) increased contact between species of different lifespans can promote the emergence of potentially more virulent strains that were hitherto suppressed in one of the species.

Indexed as

AnimalsAntigens, ViralBirdsInfluenza in BirdsLongevityModels, BiologicalNetherlandsOrthomyxoviridaePrevalenceSpecies SpecificityAntigens, Viralantigenic evolutionhemagglutininmultistrain modelpopulation dynamicsvirulence

Identifiers

PMID24958867
PMCPMC4115569

What OpenQuestion holds

Textmetadata
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.