Evidence map›Paper›PMID 35922409›Full record

ArticleNature communications2022

Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England.

Paul Elliott, Oliver Eales, Barbara Bodinier, David Tang, Haowei Wang, Jakob Jonnerby, David Haw, Joshua Elliott, Matthew Whitaker, Caroline E Walters and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
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  10. Observational
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  15. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
    Review
  16. 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

22 authors.

Paul ElliottSchool of Public Health, Imperial College London, London, UK. p.elliott@imperial.ac.uk.ORCID 0000-0002-7511-5684
Oliver Eales *School of Public Health, Imperial College London, London, UK.
Barbara Bodinier *School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-0781-3624
David Tang *School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-6974-5663
Haowei WangSchool of Public Health, Imperial College London, London, UK.
Jakob JonnerbySchool of Public Health, Imperial College London, London, UK.
David HawSchool of Public Health, Imperial College London, London, UK.
Joshua ElliottImperial College Healthcare NHS Trust, London, UK.
Matthew WhitakerSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0003-1363-6537
Caroline E WaltersSchool of Public Health, Imperial College London, London, UK.
Christina AtchisonSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8304-7389
Peter J DiggleCHICAS, Lancaster Medical School, Lancaster University, UK and Health Data Research, Lancaster, UK.
Andrew J PageQuadram Institute, Norwich, UK.ORCID 0000-0001-6919-6062
Alexander J TrotterQuadram Institute, Norwich, UK.
Deborah AshbySchool of Public Health, Imperial College London, London, UK.ORCID 0000-0003-3146-7466
Wendy BarclayDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0002-3948-0895
Graham TaylorDepartment of Infectious Disease, Imperial College London, London, UK.ORCID 0000-0002-3773-2390
Helen WardSchool of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8238-5036
Ara DarziImperial College Healthcare NHS Trust, London, UK.ORCID 0000-0001-7815-7989
Graham S CookeImperial College Healthcare NHS Trust, London, UK.ORCID 0000-0001-6475-5056
Marc Chadeau-HyamSchool of Public Health, Imperial College London, London, UK. m.chadeau@imperial.ac.uk.ORCID 0000-0001-8341-5436
Christl A DonnellySchool of Public Health, Imperial College London, London, UK. c.donnelly@imperial.ac.uk.ORCID 0000-0002-0195-2463

Funding

Biotechnology and Biological Sciences Research Council BB/R012504/1British Heart Foundation RE/18/4/34215Cancer Research UK 22184Department of Health PR-OD-1017-20007Medical Research Council MC_PC_17114Medical Research Council MC_PC_19012Medical Research Council MR/L01341X/1Medical Research Council MR/R015600/1Medical Research Council MR/S019669/1Wellcome TrustWellcome Trust 205456/Z/16/Z
6 · The paper itself

Abstract

Rapid transmission of the SARS-CoV-2 Omicron variant has led to record-breaking case incidence rates around the world. Since May 2020, the REal-time Assessment of Community Transmission-1 (REACT-1) study tracked the spread of SARS-CoV-2 infection in England through RT-PCR of self-administered throat and nose swabs from randomly-selected participants aged 5 years and over. In January 2022, we found an overall weighted prevalence of 4.41% (n = 102,174), three-fold higher than in November to December 2021; we sequenced 2,374 (99.2%) Omicron infections (19 BA.2), and only 19 (0.79%) Delta, with a growth rate advantage for BA.2 compared to BA.1 or BA.1.1. Prevalence was decreasing overall (reproduction number R = 0.95, 95% credible interval [CrI], 0.93, 0.97), but increasing in children aged 5 to 17 years (R = 1.13, 95% CrI, 1.09, 1.18). In England during January 2022, we observed unprecedented levels of SARS-CoV-2 infection, especially among children, driven by almost complete replacement of Delta by Omicron.

Indexed as

COVID-19SARS-CoV-2Base SequenceChildEnglandHumansSpecimen Handling

Identifiers

PMID35922409
PMCPMC9349208

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.