Evidence map›Paper›PMID 35913988›Full record

ArticlePLoS computational biology2022

Modeling within-host and aerosol dynamics of SARS-CoV-2: The relationship with infectiousness.

Nora Heitzman-Breen, Stanca M Ciupe

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The kinetics of SARS-CoV-2 infection based on a human challenge study.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Identifiability investigation of within-host models of acute virus infection.Mathematical biosciences and engineering : MBE · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Analysis of the risk and pre-emptive control of viral outbreaks accounting for within-host dynamics: SARS-CoV-2 as a case study.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Nora Heitzman-BreenDepartment of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.ORCID 0000-0002-9018-7184
Stanca M CiupeDepartment of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.ORCID 0000-0002-5386-6946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the amount of virus present in the proximity of a susceptible host is not understood. Here, we developed a within-host and aerosol mathematical model and used it to determine the relationship between viral kinetics in the upper respiratory track, viral kinetics in the aerosols, and new transmissions in golden hamsters challenged with SARS-CoV-2. We determined that infectious virus shedding early in infection correlates with transmission events, shedding of infectious virus diminishes late in the infection, and high viral RNA levels late in the infection are a poor indicator of transmission. We further showed that viral infectiousness increases in a density dependent manner with viral RNA and that their relative ratio is time-dependent. Such information is useful for designing interventions.

Indexed as

COVID-19SARS-CoV-2AnimalsCricetinaeHumansRespiratory Aerosols and DropletsRNA, ViralVirus SheddingRNA, Viral

Identifiers

PMID35913988
PMCPMC9371288

What OpenQuestion holds

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LicenceCC BY
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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.