Evidence map›Paper›PMID 37553993›Full record

ArticleJournal of the Royal Society, Interface2023

Modelling the viral dynamics of the SARS-CoV-2 Delta and Omicron variants in different cell types.

Clare P McCormack, Ada W C Yan, Jonathan C Brown, Ksenia Sukhova, Thomas P Peacock, Wendy S Barclay, Ilaria Dorigatti

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Clare P McCormackMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-1371-8401
Ada W C YanDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0001-7456-339X
Jonathan C BrownDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0001-6849-3962
Ksenia SukhovaDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0003-3678-5631
Thomas P PeacockDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0001-7077-2928
Wendy S BarclayDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0002-3948-0895
Ilaria DorigattiMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Imperial College London · GB

Funding

Medical Research Council MR/R015600/1Medical Research Council MR/W005611/1Medical Research Council MR/X020258/1Wellcome TrustWellcome Trust 213494/Z/18/Z
6 · The paper itself

Abstract

We use viral kinetic models fitted to viral load data from

Indexed as

COVID-19Basic Reproduction NumberHumansKineticsSARS-CoV-2DeltaOmicronSARS-CoV-2viral dynamicsviral kinetics model

Identifiers

PMID37553993
PMCPMC10410224
OpenAlexW4385684007

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.