Evidence map›Paper›PMID 26770819›Full record

ArticleVirus evolution2015

Time dependence of evolutionary metrics during the 2009 pandemic influenza virus outbreak.

Austin G Meyer, Stephanie J Spielman, Trevor Bedford, Claus O Wilke

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The evolution of SARS-CoV-2.Nature reviews. Microbiology · 2023
    Review
  7. Article
  8. Article
  9. Article
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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

4 authors at 3 institutions in 1 country.

Austin G MeyerDepartment of Integrative Biology, Institute for Cellular and Molecular Biology, and Center for Computational Biology and Bioinformatics. The University of Texas at Austin, Austin, TX; School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX.
Stephanie J SpielmanDepartment of Integrative Biology, Institute for Cellular and Molecular Biology, and Center for Computational Biology and Bioinformatics. The University of Texas at Austin, Austin, TX.
Trevor BedfordVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Claus O WilkeDepartment of Integrative Biology, Institute for Cellular and Molecular Biology, and Center for Computational Biology and Bioinformatics. The University of Texas at Austin, Austin, TX.
The University of Texas at Austin · USInfectious Disease Research Institute · USTexas Tech University Health Sciences Center · US

Funding

The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
NIEHS NIH HHS 27398C0007NIGMS NIH HHS R01 GM088344
6 · The paper itself

Abstract

With the expansion of DNA sequencing technology, quantifying evolution in emerging viral outbreaks has become an important tool for scientists and public health officials. Although it is known that the degree of sequence divergence significantly affects the calculation of evolutionary metrics in viral outbreaks, the extent and duration of this effect during an actual outbreak remains unclear. We have analyzed how limited divergence time during an early viral outbreak affects the accuracy of molecular evolutionary metrics. Using sequence data from the first 25 months of the 2009 pandemic H1N1 (pH1N1) outbreak, we calculated each of three different standard evolutionary metrics-molecular clock rate (i.e., evolutionary rate), whole gene

Indexed as

dN/dSemerging infectious diseasesevolutioninfluenzamolecular clock rate

Identifiers

PMID26770819
PMCPMC4710376
OpenAlexW2338147802

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.