Evidence map›Paper›PMID 37468463›Full record

ArticleNature communications2023

Estimating long-term vaccine effectiveness against SARS-CoV-2 variants: a model-based approach.

Alexandra B Hogan, Patrick Doohan, Sean L Wu, Daniela Olivera Mesa, Jaspreet Toor, Oliver J Watson, Peter Winskill, Giovanni Charles, Gregory Barnsley, Eleanor M Riley and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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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.

Alexandra B HoganSchool of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia.
Patrick DoohanMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8076-1106
Sean L WuInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Daniela Olivera MesaMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-6190-2855
Jaspreet ToorMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-1510-397X
Oliver J WatsonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-2374-0741
Peter WinskillMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-3001-4959
Giovanni CharlesMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Gregory BarnsleyMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-7972-0737
Eleanor M RileyInstitute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
David S KhouryKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-2663-1551
Neil M FergusonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID 0000-0002-1154-8093
Azra C GhaniMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. a.ghani@imperial.ac.uk.ORCID 0000-0002-0007-4910

Funding

Department of Health NIHR200908Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

With the ongoing evolution of the SARS-CoV-2 virus updated vaccines may be needed. We fitted a model linking immunity levels and protection to vaccine effectiveness data from England for three vaccines (Oxford/AstraZeneca AZD1222, Pfizer-BioNTech BNT162b2, Moderna mRNA-1273) and two variants (Delta, Omicron). Our model reproduces the observed sustained protection against hospitalisation and death from the Omicron variant over the first six months following dose 3 with the ancestral vaccines but projects a gradual waning to moderate protection after 1 year. Switching the fourth dose to a variant-matched vaccine against Omicron BA.1/2 is projected to prevent nearly twice as many hospitalisations and deaths over a 1-year period compared to administering the ancestral vaccine. This result is sensitive to the degree to which immunogenicity data can be used to predict vaccine effectiveness and uncertainty regarding the impact that infection-induced immunity (not captured here) may play in modifying future vaccine effectiveness.

Indexed as

COVID-19SARS-CoV-2BNT162 VaccineChAdOx1 nCoV-19COVID-19 VaccinesHumansVaccine EfficacyBNT162 VaccineChAdOx1 nCoV-19COVID-19 Vaccines

Identifiers

PMID37468463
PMCPMC10356855

What OpenQuestion holds

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LicenceCC BY
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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.