Evidence map›Paper›PMID 30042759›Full record

ArticleFrontiers in microbiology2018

Influenza Virus Infection Model With Density Dependence Supports Biphasic Viral Decay.

Amanda P Smith, David J Moquin, Veronika Bernhauerova, Amber M Smith

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Multivariate Host-Pathogen Interactions Driving Heterogeneous Viral Shedding and CD8medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Identifiability investigation of within-host models of acute virus infection.Mathematical biosciences and engineering : MBE · 2024
    Article
  15. Article
  16. Quantitatively Mapping Immune Control during Influenza.Current opinion in systems biology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. 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 2 institutions in 2 countries.

Amanda P SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
David J MoquinDepartment of Internal Medicine, University of Tennessee Health Science Center, Memphis, TN, United States.
Veronika BernhauerovaViral Populations and Pathogenesis Unit, Institut Pasteur, Paris, France.
Amber M SmithDepartment of Pediatrics, University of Tennessee Health Science Center, Memphis, TN, United States.
University of Tennessee Health Science Center · USInstitut Pasteur · FR

Funding

Quantifying and Validating Immune Response Dynamics for Influenza and Viral-Bacterial PneumoniasR56AI125324 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2016 to 2016
$454k
Bacterial virulence factors contributing to virus-associated pneumoniasK25AI100946 · NIAID · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SMITH, AMBER M · 2012 to 2016
$425k
NIAID NIH HHS K25 AI100946NIAID NIH HHS R56 AI125324
6 · The paper itself

Abstract

Mathematical models that describe infection kinetics help elucidate the time scales, effectiveness, and mechanisms underlying viral growth and infection resolution. For influenza A virus (IAV) infections, the standard viral kinetic model has been used to investigate the effect of different IAV proteins, immune mechanisms, antiviral actions, and bacterial coinfection, among others. We sought to further define the kinetics of IAV infections by infecting mice with influenza A/PR8 and measuring viral loads with high frequency and precision over the course of infection. The data highlighted dynamics that were not previously noted, including viral titers that remain elevated for several days during mid-infection and a sharp 4-5 log

Indexed as

biphasic viral decaydensity dependenceinfluenza virus infectionmathematical modelviral kinetics

Identifiers

PMID30042759
PMCPMC6048257
OpenAlexW2953378801

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.