Evidence map›Paper›PMID 30231576›Full record

ArticleViruses2018

Estimating Vaccine-Driven Selection in Seasonal Influenza.

Frank T Wen, Sidney M Bell, Trevor Bedford, Sarah Cobey

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

4 authors at 3 institutions in 1 country.

Frank T WenDepartment of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA. frankwen@uchicago.edu.ORCID 0000-0002-9262-1722
Sidney M BellVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. sidneymbell@gmail.com.ORCID 0000-0003-1933-6033
Trevor BedfordVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. trevor@bedford.io.ORCID 0000-0002-4039-5794
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA. cobey@uchicago.edu.ORCID 0000-0001-5298-8979
University of Chicago · USFred Hutch Cancer Center · USUniversity of Washington · US

Funding

MEDICAL SCIENTIST TRAININGT32GM007281 · NIGMS · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 1985 to 2022
$32.1M
Modeling the dynamics and evolution of immune responses to influenza virusesU19AI117891 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, ANTIA, RUSTOM NOSHIR · 2015 to 2019
$8.4M
Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigationR35GM119774 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2016 to 2025
$4.1M
Modeling the Evolutionary Dynamics of Immunity to Influenza for Vaccine DevelopmeDP2AI117921 · NIAID · UNIVERSITY OF CHICAGO · PI COBEY, SARAH · 2014 to 2014
$2.1M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
National Science Foundation DGE-1256082NIAID NIH HHS DP2 AI117921NIAID NIH HHS U19 AI117891NIGMS NIH HHS R35 GM119774NIGMS NIH HHS T32 GM007281NIH HHS DP2AI117921NIH HHS R35GM119774NIH HHS S10 OD020069NIH HHS T32GM007281NIH HHS U19AI117891
6 · The paper itself

Abstract

Vaccination could be an evolutionary pressure on seasonal influenza if vaccines reduce the transmission rates of some ("targeted") strains more than others. In theory, more vaccinated populations should have a lower prevalence of targeted strains compared to less vaccinated populations. We tested for vaccine-induced selection in influenza by comparing strain frequencies between more and less vaccinated human populations. We defined strains in three ways: first as influenza types and subtypes, next as lineages of type B, and finally as clades of influenza A/H3N2. We detected spatial differences partially consistent with vaccine use in the frequencies of subtypes and types and between the lineages of influenza B, suggesting that vaccines do not select strongly among all these phylogenetic groups at regional scales. We did detect a significantly greater frequency of an H3N2 clade with known vaccine escape mutations in more vaccinated countries during the 2014⁻2015 season, which is consistent with vaccine-driven selection within the H3N2 subtype. Overall, we find more support for vaccine-driven selection when large differences in vaccine effectiveness suggest a strong effect size. Variation in surveillance practices across countries could obscure signals of selection, especially when strain-specific differences in vaccine effectiveness are small. Further examination of the influenza vaccine's evolutionary effects would benefit from improvements in epidemiological surveillance and reporting.

Indexed as

SeasonsAlgorithmsAntigenic VariationHumansImmunogenicity, VaccineIncidenceInfluenza A virusInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesModels, StatisticalSelection, GeneticVaccinationVaccination CoverageInfluenza Vaccinesindirect effectsstrain replacementuniversal vaccines

Identifiers

PMID30231576
PMCPMC6165116
OpenAlexW2890107077

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.