Evidence map›Paper›PMID 41006237›Full record

ArticleNature communications2025

Quantifying the impact of a broadly protective sarbecovirus vaccine in a future SARS-X pandemic.

Charles Whittaker, Gregory Barnsley, Daniela Olivera Mesa, Victoria Cox, Daniel J Laydon, Chee Wah Tan, Feng Zhu, Rob Johnson, Patrick Doohan, Lilith K Whittles and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
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

20 authors.

Charles WhittakerMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. cwhittaker@berkeley.edu.ORCID http://orcid.org/0000-0002-5003-2575
Gregory BarnsleyLondon School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-7972-0737
Daniela Olivera MesaMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-6190-2855
Victoria CoxMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3852-7855
Daniel J LaydonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-4270-3321
Chee Wah TanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9837-1413
Feng ZhuInfectious Diseases Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8131-1219
Rob JohnsonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Patrick DoohanMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0001-8076-1106
Lilith K WhittlesMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-8913-0391
Gemma Nedjati-GilaniMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Peter WinskillMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3001-4959
Alexandra B HoganMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Arminder DeolCoalition for Epidemics Preparedness Innovations, Oslo, Norway.ORCID http://orcid.org/0000-0002-7154-5505
Christinah MukandavireCoalition for Epidemics Preparedness Innovations, Oslo, Norway.
Katharina HauckMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3138-4169
David Chien Boon LyeNational Centre for Infectious Diseases, Singapore, Singapore.
Lin-Fa WangProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.ORCID http://orcid.org/0000-0003-2752-0535
Oliver J WatsonMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-2374-0741
Azra C GhaniMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. a.ghani@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0007-4910

Funding

Wellcome Trust
6 · The paper itself

Abstract

COVID-19 has underscored the need for more timely access to vaccines during future pandemics. This has motivated development of broad-spectrum vaccines providing protection against entire viral families, which could be stockpiled and deployed rapidly following detection. Using mathematical modelling, we assess the utility of a broadly protective sarbecovirus vaccine during a hypothetical SARS-X outbreak, for a range of implementation strategies including ring-vaccination, spatial-targeting and mass vaccination of high-risk groups. Broadly protective sarbecovirus vaccine ring- or spatial strategies alone are insufficient to contain epidemics driven by a SARS-CoV-2-like virus, but when paired with rapid isolation and quarantine, can achieve containment of a SARS-CoV-1-like virus. Where suppression fails, broadly protective sarbecovirus vaccine utilisation still reduces the effective reproduction number and slows epidemic growth - buying valuable time for health-system response and virus-specific vaccine development. Vaccination of high-risk populations with the broadly protective sarbecovirus vaccine ahead of virus-specific vaccine availability could reduce mortality and enable shorter and less stringent non-pharmaceutical interventions to be imposed; results are sensitive to vaccine properties (e.g., efficacy), health system capabilities (e.g. rollout speed) and timeline to virus-specific vaccine availability. Our modelling suggests that broadly protective sarbecovirus vaccine delivery to those aged 60+ years could have averted 21-78 % of COVID-19 deaths during the pandemic's first year, depending on the size of the stockpile. Realising this potential impact will require investment in manufacturing, delivery capacity and equitable access ahead of future pandemics.

Indexed as

COVID-19COVID-19 VaccinesPandemicsViral VaccinesHumansMass VaccinationModels, TheoreticalSARS-CoV-2COVID-19 VaccinesViral Vaccines

Identifiers

PMID41006237
PMCPMC12475435

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.