Evidence map›Paper›PMID 38307854›Full record

ArticleNature communications2024

Risk of SARS-CoV-2 reinfection during multiple Omicron variant waves in the UK general population.

Jia Wei, Nicole Stoesser, Philippa C Matthews, Tarnjit Khera, Owen Gethings, Ian Diamond, Ruth Studley, Nick Taylor, Tim E A Peto, A Sarah Walker and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 55 citations in OpenAlex.

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  18. The Effect of SARS-CoV-2 Reinfection on Long-Term Symptoms in the Innovative Support for Patients With SARS-CoV-2 Infections Registry (INSPIRE).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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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

13 authors at 16 institutions in 1 country.

Jia WeiNuffield Department of Medicine, University of Oxford, Oxford, UK. jia.wei@ndm.ox.ac.uk.ORCID 0000-0001-9621-529X
Nicole StoesserNuffield Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-4508-7969
Philippa C MatthewsNuffield Department of Medicine, University of Oxford, Oxford, UK.
Tarnjit KheraOffice for National Statistics, Newport, UK.
Owen GethingsOffice for National Statistics, Newport, UK.
Ian DiamondOffice for National Statistics, Newport, UK.
Ruth StudleyOffice for National Statistics, Newport, UK.
Nick TaylorOffice for National Statistics, Newport, UK.
Tim E A PetoNuffield Department of Medicine, University of Oxford, Oxford, UK.
A Sarah Walker *Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Koen B Pouwels *The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, UK.ORCID 0000-0001-7097-8950
David W Eyre *Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-5095-6367
COVID-19 Infection Survey team
University of Oxford · GBMRC Clinical Trials Unit at UCL · GBIQVIA (United Kingdom) · GBOffice for National Statistics · GBOpen Data Institute · GBScottish Government · GBJohn Radcliffe Hospital · GBPublic Health Scotland · GBDepartment of Health and Social Care · GBHealthcare Quality Improvement Partnership · GBOxford University Hospitals NHS Trust · GBUniversity of Manchester · GBWelsh Government · GBNational Institute for Health Research · GBThe Francis Crick Institute · GBUK Health Security Agency · GB

Funding

Medical Research Council MC_UU_12023/22Wellcome TrustWellcome Trust 110110/Z/15/Z
6 · The paper itself

Abstract

SARS-CoV-2 reinfections increased substantially after Omicron variants emerged. Large-scale community-based comparisons across multiple Omicron waves of reinfection characteristics, risk factors, and protection afforded by previous infection and vaccination, are limited. Here we studied ~45,000 reinfections from the UK's national COVID-19 Infection Survey and quantified the risk of reinfection in multiple waves, including those driven by BA.1, BA.2, BA.4/5, and BQ.1/CH.1.1/XBB.1.5 variants. Reinfections were associated with lower viral load and lower percentages of self-reporting symptoms compared with first infections. Across multiple Omicron waves, estimated protection against reinfection was significantly higher in those previously infected with more recent than earlier variants, even at the same time from previous infection. Estimated protection against Omicron reinfections decreased over time from the most recent infection if this was the previous or penultimate variant (generally within the preceding year). Those 14-180 days after receiving their most recent vaccination had a lower risk of reinfection than those >180 days from their most recent vaccination. Reinfection risk was independently higher in those aged 30-45 years, and with either low or high viral load in their most recent previous infection. Overall, the risk of Omicron reinfection is high, but with lower severity than first infections; both viral evolution and waning immunity are independently associated with reinfection.

Indexed as

COVID-19SARS-CoV-2HumansReinfectionUnited Kingdom

Identifiers

PMID38307854
PMCPMC10837445
OpenAlexW4391466817

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.