Evidence map›Paper›PMID 41083450›Full record

ArticleNature communications2025

Global disparities in the introduction, scale-up, and effectiveness evaluation of COVID-19 vaccines.

Martina Pesce, Daniel R Feikin, Melissa M Higdon, Katherine L O'Brien, Minal K Patel, Analía Rearte, Carla Vizzotti, Annelies Wilder-Smith, Edward P K Parker

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

9 authors.

Martina PesceThe Vaccine Centre, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-7293-8175
Daniel R FeikinDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.ORCID http://orcid.org/0000-0001-5154-5084
Melissa M HigdonInternational Vaccine Access Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-1932-9442
Katherine L O'BrienDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Minal K PatelDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Analía RearteEscuela de Medicina, Universidad Nacional de Mar del Plata, Mar del Plata, Argentina.ORCID http://orcid.org/0000-0001-7665-7322
Carla VizzottiUniversidad Nacional de San Martín, Buenos Aires, Argentina.
Annelies Wilder-SmithDepartment of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland.
Edward P K ParkerThe Vaccine Centre, London School of Hygiene & Tropical Medicine, London, UK. edward.parker@lshtm.ac.uk.ORCID http://orcid.org/0000-0001-5847-109X

Funding

DH | National Institute for Health Research (NIHR) NIHR200929World Health Organization 001
6 · The paper itself

Abstract

The global response to COVID-19 saw the most rapid and extensive vaccination rollout in history. Yet there were large disparities in the introduction, scale-up, and evaluation of programmes. To systematically quantify these disparities, we generate linkages across public datasets containing country- and territory-level income data, COVID-19 vaccination rates, and COVID-19 vaccine effectiveness (VE). Our results show that, compared with high-income countries, lower-income countries introduced vaccines later, were less likely to achieve key coverage milestones, and were slower to do so where these milestones were achieved. The literature on primary series COVID-19 VE has been dominated by studies of mRNA vaccines from high-income countries, with data for other vaccines and lower-income countries appearing later and in substantially lower quantities. For vaccines with available VE data across multiple income settings (BNT162b2, mRNA-1273, and ChAdOx1-S), our meta-regression highlights robust protection against severe COVID-19, with no significant differences in primary series VE according to country-level income status during the Delta and Omicron periods. Our findings demonstrate the strong protection conferred by COVID-19 vaccines across diverse populations. Nonetheless, our results quantify the stark disparities that pervaded each stage of COVID-19 vaccine implementation, and highlight evidence gaps related to products and platforms being used across much of the globe.

Indexed as

COVID-19COVID-19 VaccinesHealthcare DisparitiesVaccine Efficacy2019-nCoV Vaccine mRNA-1273BNT162 VaccineChAdOx1 nCoV-19Developing CountriesGlobal HealthHumansSARS-CoV-2Vaccination2019-nCoV Vaccine mRNA-1273BNT162 VaccineChAdOx1 nCoV-19COVID-19 Vaccines

Identifiers

PMID41083450
PMCPMC12518578

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.