Evidence map›Paper›PMID 37870569›Full record

ReviewSeminars in immunopathology2024

Causes and costs of global COVID-19 vaccine inequity.

Maddalena Ferranna

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Global vaccine development.Nature medicine · 2026
    Review
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  7. Review
  8. Article
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  11. Pandemic treaty textual analysis: ethics and public health implications.Journal of public health (Oxford, England) · 2025
    Article
  12. Review
  13. Article
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  16. The cost of delivering COVID-19 vaccines in four districts in Malawi.Cost effectiveness and resource allocation : C/E · 2025
    Article
  17. Article
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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

1 author.

Maddalena FerrannaDepartment of Pharmaceutical and Health Economics, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA. ferranna@usc.edu.ORCID 0000-0002-3892-8301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the rapid development of safe and effective COVID-19 vaccines and the widely recognized health and economic benefits of vaccination, there exist stark differences in vaccination rates across country income groups. While more than 70% of the population is fully vaccinated in high-income countries, vaccination rates in low-income countries are only around 30%. The paper reviews the factors behind global COVID-19 vaccine inequity and the health, social, and economic costs triggered by this inequity. The main contributors to vaccine inequity include vaccine nationalism, intellectual property rights, constraints in manufacturing capacity, poor resilience of healthcare systems, and vaccine hesitancy. Vaccine inequity has high costs, including preventable deaths and cases of illnesses in low-income countries, slow economic recovery, and large learning losses among children. Increasing vaccination rates in low-income countries is in the self-interest of higher-income countries as it may prevent the emergence of new variants and continuous disruptions to global supply chains.

Indexed as

COVID-19COVID-19 VaccinesGlobal HealthSARS-CoV-2Developing CountriesHealthcare DisparitiesHealth InequitiesHumansVaccinationVaccination HesitancyCOVID-19 VaccinesCOVID-19EquityNationalismSocioeconomic costsVaccinationVaccine hesitancy

Identifiers

PMID37870569
PMCPMC11136847

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.