Evidence map›Paper›PMID 34569939›Full record

ArticleeLife2021

Quantifying the relationship between SARS-CoV-2 viral load and infectiousness.

Aurélien Marc, Marion Kerioui, François Blanquart, Julie Bertrand, Oriol Mitjà, Marc Corbacho-Monné, Michael Marks, Jeremie Guedj

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
–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

89 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  11. medRxiv : the preprint server for health sciences · 2026
    Article
  12. Article
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  14. Review
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  16. Article
  17. Viral Dynamic Models During COVID-19: Are We Ready for the Next Pandemic?CPT: pharmacometrics & systems pharmacology · 2025
    Review
  18. Article
  19. Article
  20. Article

29 more citing papers are in PubMed but not listed here.

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

8 authors.

Aurélien MarcUniversité de Paris, IAME, INSERM, Paris, France.ORCID https://orcid.org/0000-0002-6936-5388
Marion KeriouiUniversité de Paris, IAME, INSERM, Paris, France.
François BlanquartUniversité de Paris, IAME, INSERM, Paris, France.
Julie BertrandUniversité de Paris, IAME, INSERM, Paris, France.
Oriol MitjàFight AIDS and Infectious Diseases Foundation, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.
Marc Corbacho-MonnéFight AIDS and Infectious Diseases Foundation, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.
Michael MarksLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Jeremie GuedjUniversité de Paris, IAME, INSERM, Paris, France.ORCID https://orcid.org/0000-0002-5534-5482

Funding

European Research Council ERC Starting Grant under the European Union's Horizon 2020 research and innovation programme
6 · The paper itself

Abstract

The relationship between SARS-CoV-2 viral load and infectiousness is poorly known. Using data from a cohort of cases and high-risk contacts, we reconstructed viral load at the time of contact and inferred the probability of infection. The effect of viral load was larger in household contacts than in non-household contacts, with a transmission probability as large as 48% when the viral load was greater than 10

Indexed as

Viral LoadAdultCohort StudiesContact TracingCOVID-19COVID-19 VaccinesFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsSARS-CoV-2Virus ReplicationYoung AdultCOVID-19 Vaccinescomputational biologyepidemiologyhumaninfectious diseaseinfectious diseasesmicrobiologySARS-CoV-2

Identifiers

PMID34569939
PMCPMC8476126

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.