Evidence map›Paper›PMID 35305296›Full record

ArticleLancet (London, England)2022

Comparative analysis of the risks of hospitalisation and death associated with SARS-CoV-2 omicron (B.1.1.529) and delta (B.1.617.2) variants in England: a cohort study.

Tommy Nyberg, Neil M Ferguson, Sophie G Nash, Harriet H Webster, Seth Flaxman, Nick Andrews, Wes Hinsley, Jamie Lopez Bernal, Meaghan Kall, Samir Bhatt and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Lancet (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 815 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
815citing papers in PubMed, 5 pooled it
125.9field-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

815 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,270 citations in OpenAlex.

  1. Pooled it
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  3. Adverse outcomes among pregnant women with COVID-19 according to hospitalization status: A prospective individual participant data meta-analysis in Europe and North America.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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  10. Implementation evaluation of the COVID-19 vaccination: Speed, equity and mortality trends.African journal of primary health care & family medicine · 2026
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755 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 9 institutions in 1 country.

Tommy NybergMRC Biostatistics Unit, University of Cambridge, Cambridge, UK. Electronic address: tommy.nyberg@mrc-bsu.cam.ac.uk.
Neil M FergusonNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK. Electronic address: neil.ferguson@imperial.ac.uk.
Sophie G NashCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Harriet H WebsterCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Seth FlaxmanDepartment of Computer Science, University of Oxford, Oxford, UK.
Nick AndrewsCOVID-19 Surveillance Cell, UK Health Security Agency, London, UK.
Wes HinsleyNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Jamie Lopez BernalNIHR Health Protection Research Unit for Respiratory Infections, Imperial College London, London, UK; COVID-19 Surveillance Cell, UK Health Security Agency, London, UK.
Meaghan KallCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Samir BhattNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Paula BlomquistOutbreak Surveillance Team, UK Health Security Agency, London, UK.
Asad ZaidiCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Erik VolzNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Nurin Abdul AzizCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Katie HarmanCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Sebastian FunkCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Sam AbbottCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
COVID-19 Genomics UK (COG-UK) consortium
Russell HopeCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Andre CharlettNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK; Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Joint Modelling Team, UK Health Security Agency, London, UK; NIHR Health Protection Research Unit for Behavioural Science and Evaluation at the University of Bristol, University of the West of England, and University of Cambridge, Bristol, UK.
Meera ChandCOVID-19 Genomics Cell, UK Health Security Agency, London, UK.
Azra C GhaniNIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Shaun R SeamanMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Gavin DabreraCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
Daniela De AngelisMRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Joint Modelling Team, UK Health Security Agency, London, UK; NIHR Health Protection Research Unit for Behavioural Science and Evaluation at the University of Bristol, University of the West of England, and University of Cambridge, Bristol, UK.
Anne M PresanisMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Simon ThelwallCOVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
UK Health Security Agency · GBNIHR Imperial Biomedical Research Centre · GBLondon School of Hygiene & Tropical Medicine · GBPublic Health England · GBUniversity of Cambridge · GBGenomics (United Kingdom) · GBMRC Biostatistics Unit · GBUniversity of Oxford · GBUniversity of the West of England · GB

Funding

Medical Research Council MC_PC_19012Medical Research Council MC_PC_19027Medical Research Council MC_PC_19074Medical Research Council MC_UU_00002/10Medical Research Council MC_UU_00002/11Medical Research Council MR/R015600/1Medical Research Council MR/V038109/1Wellcome Trust
6 · The paper itself

Abstract

backgroundThe omicron variant (B.1.1.529) of SARS-CoV-2 has demonstrated partial vaccine escape and high transmissibility, with early studies indicating lower severity of infection than that of the delta variant (B.1.617.2). We aimed to better characterise omicron severity relative to delta by assessing the relative risk of hospital attendance, hospital admission, or death in a large national cohort.

methodsIndividual-level data on laboratory-confirmed COVID-19 cases resident in England between Nov 29, 2021, and Jan 9, 2022, were linked to routine datasets on vaccination status, hospital attendance and admission, and mortality. The relative risk of hospital attendance or admission within 14 days, or death within 28 days after confirmed infection, was estimated using proportional hazards regression. Analyses were stratified by test date, 10-year age band, ethnicity, residential region, and vaccination status, and were further adjusted for sex, index of multiple deprivation decile, evidence of a previous infection, and year of age within each age band. A secondary analysis estimated variant-specific and vaccine-specific vaccine effectiveness and the intrinsic relative severity of omicron infection compared with delta (ie, the relative risk in unvaccinated cases).

findingsThe adjusted hazard ratio (HR) of hospital attendance (not necessarily resulting in admission) with omicron compared with delta was 0·56 (95% CI 0·54-0·58); for hospital admission and death, HR estimates were 0·41 (0·39-0·43) and 0·31 (0·26-0·37), respectively. Omicron versus delta HR estimates varied with age for all endpoints examined. The adjusted HR for hospital admission was 1·10 (0·85-1·42) in those younger than 10 years, decreasing to 0·25 (0·21-0·30) in 60-69-year-olds, and then increasing to 0·47 (0·40-0·56) in those aged at least 80 years. For both variants, past infection gave some protection against death both in vaccinated (HR 0·47 [0·32-0·68]) and unvaccinated (0·18 [0·06-0·57]) cases. In vaccinated cases, past infection offered no additional protection against hospital admission beyond that provided by vaccination (HR 0·96 [0·88-1·04]); however, for unvaccinated cases, past infection gave moderate protection (HR 0·55 [0·48-0·63]). Omicron versus delta HR estimates were lower for hospital admission (0·30 [0·28-0·32]) in unvaccinated cases than the corresponding HR estimated for all cases in the primary analysis. Booster vaccination with an mRNA vaccine was highly protective against hospitalisation and death in omicron cases (HR for hospital admission 8-11 weeks post-booster vs unvaccinated: 0·22 [0·20-0·24]), with the protection afforded after a booster not being affected by the vaccine used for doses 1 and 2.

interpretationThe risk of severe outcomes following SARS-CoV-2 infection is substantially lower for omicron than for delta, with higher reductions for more severe endpoints and significant variation with age. Underlying the observed risks is a larger reduction in intrinsic severity (in unvaccinated individuals) counterbalanced by a reduction in vaccine effectiveness. Documented previous SARS-CoV-2 infection offered some protection against hospitalisation and high protection against death in unvaccinated individuals, but only offered additional protection in vaccinated individuals for the death endpoint. Booster vaccination with mRNA vaccines maintains over 70% protection against hospitalisation and death in breakthrough confirmed omicron infections.

fundingMedical Research Council, UK Research and Innovation, Department of Health and Social Care, National Institute for Health Research, Community Jameel, and Engineering and Physical Sciences Research Council.

Indexed as

COVID-19SARS-CoV-2Cohort StudiesEnglandHospitalizationHumansmRNA VaccinesVaccines, SyntheticmRNA VaccinesVaccines, Synthetic

Identifiers

PMID35305296
PMCPMC8926413
OpenAlexW4220777055

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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.