Evidence map›Paper›PMID 37277329›Full record

ArticleNature communications2023

Estimating the impact of COVID-19 vaccine inequities: a modeling study.

Nicolò Gozzi, Matteo Chinazzi, Natalie E Dean, Ira M Longini, M Elizabeth Halloran, Nicola Perra, Alessandro Vespignani

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 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Vaccines · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nicolò GozziNetworks and Urban Systems Centre, University of Greenwich, London, UK.
Matteo ChinazziLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Natalie E DeanDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.ORCID 0000-0003-3884-0921
Ira M LonginiDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
M Elizabeth HalloranFred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-3127-1757
Nicola PerraLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA. n.perra@qmul.ac.uk.ORCID 0000-0002-5559-3064
Alessandro VespignaniLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.

Funding

Design and Analysis of Vaccine Trials for Emerging Infectious Disease ThreatsR01AI139761 · NIAID · UNIVERSITY OF FLORIDA · PI DEAN, NATALIE EXNER · 2018 to 2022
$3.6M
NIAID NIH HHS R01 AI139761
6 · The paper itself

Abstract

Access to COVID-19 vaccines on the global scale has been drastically hindered by structural socio-economic disparities. Here, we develop a data-driven, age-stratified epidemic model to evaluate the effects of COVID-19 vaccine inequities in twenty lower middle and low income countries (LMIC) selected from all WHO regions. We investigate and quantify the potential effects of higher or earlier doses availability. In doing so, we focus on the crucial initial months of vaccine distribution and administration, exploring counterfactual scenarios where we assume the same per capita daily vaccination rate reported in selected high income countries. We estimate that more than 50% of deaths (min-max range: [54-94%]) that occurred in the analyzed countries could have been averted. We further consider scenarios where LMIC had similarly early access to vaccine doses as high income countries. Even without increasing the number of doses, we estimate an important fraction of deaths (min-max range: [6-50%]) could have been averted. In the absence of the availability of high-income countries, the model suggests that additional non-pharmaceutical interventions inducing a considerable relative decrease of transmissibility (min-max range: [15-70%]) would have been required to offset the lack of vaccines. Overall, our results quantify the negative impacts of vaccine inequities and underscore the need for intensified global efforts devoted to provide faster access to vaccine programs in low and lower-middle-income countries.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansIncomeVaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID37277329
PMCPMC10241610

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.