Evidence map›Paper›PMID 36100306›Full record

ArticleBMJ open2022

Estimating deaths averted and cost per life saved by scaling up mRNA COVID-19 vaccination in low-income and lower-middle-income countries in the COVID-19 Omicron variant era: a modelling study.

Alexandra Savinkina, Alyssa Bilinski, Meagan Fitzpatrick, A David Paltiel, Zain Rizvi, Joshua Salomon, Thomas Thornhill, Gregg Gonsalves

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Understanding theFrontiers in parasitology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

8 authors at 5 institutions in 1 country.

Alexandra SavinkinaDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, Connecticut, USA alexandra.savinkina@yale.edu.ORCID 0000-0002-5257-866X
Alyssa BilinskiDepartments of Health Services, Policy, and Practice and Biostatistics, Brown University, Providence, Rhode Island, USA.
Meagan FitzpatrickCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
A David PaltielPublic Health Modeling Unit, Yale University School of Public Health, New Haven, Connecticut, USA.
Zain RizviPublic Citizen, Washington, District of Columbia, USA.
Joshua SalomonCenter for Health Policy/Primary Care and Outcomes Research, Stanford University School of Medicine, Stanford, California, USA.
Thomas ThornhillDepartment of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, Connecticut, USA.
Gregg GonsalvesPublic Health Modeling Unit, Yale University School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-5789-9841
Yale University · USBrown University · USPublic Citizen · USStanford University · USUniversity of Maryland, Baltimore · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR01DA015612 · NIDA · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 2002 to 2017
$9.4M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Novel, Adaptive Approaches to Predicting and Responding to Outbreaks of Overdose, HIV and HCV Among People Who Use DrugsDP2DA049282 · NIDA · YALE UNIVERSITY · PI GONSALVES, GREGG STEVEN · 2019 to 2019
$2.5M
Mathematical modeling to optimize rotavirus vaccination in sub-Saharan AfricaK01AI141576 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI FITZPATRICK, MEAGAN COLLEEN · 2019 to 2023
$649k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS K01 AI141576NIDA NIH HHS DP2 DA049282NIDA NIH HHS R01 DA015612NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

objectivesWhile almost 60% of the world has received at least one dose of COVID-19 vaccine, the global distribution of vaccination has not been equitable. Only 4% of the population of low-income countries (LICs) has received a full primary vaccine series, compared with over 70% of the population of high-income nations.

designWe used economic and epidemiological models, parameterised with public data on global vaccination and COVID-19 deaths, to estimate the potential benefits of scaling up vaccination programmes in LICs and lower-middle-income countries (LMICs) in 2022 in the context of global spread of the Omicron variant of SARS-CoV2.

settingLow-income and lower-middle-income nations.

main outcome measuresOutcomes were expressed as number of avertable deaths through vaccination, costs of scale-up and cost per death averted. We conducted sensitivity analyses over a wide range of parameter estimates to account for uncertainty around key inputs.

findingsGlobally, universal vaccination in LIC/LMIC with three doses of an mRNA vaccine would result in an estimated 1.5 million COVID-19 deaths averted with a total estimated cost of US$61 billion and an estimated cost-per-COVID-19 death averted of US$40 800 (sensitivity analysis range: US$7400-US$81 500). Lower estimated infection fatality ratios, higher cost-per-dose and lower vaccine effectiveness or uptake lead to higher cost-per-death averted estimates in the analysis.

conclusionsScaling up COVID-19 global vaccination would avert millions of COVID-19 deaths and represents a reasonable investment in the context of the value of a statistical life. Given the magnitude of expected mortality facing LIC/LMIC without vaccination, this effort should be an urgent priority.

Indexed as

COVID-19Developing CountriesCost-Benefit AnalysisCOVID-19 VaccinesHumansmRNA VaccinesRNA, MessengerRNA, ViralSARS-CoV-2VaccinationVaccines, SyntheticCOVID-19 VaccinesmRNA VaccinesRNA, MessengerRNA, ViralVaccines, SyntheticCOVID-19HEALTH ECONOMICSPublic health

Identifiers

PMID36100306
PMCPMC9471205
OpenAlexW4295754949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.