Evidence map›Paper›PMID 36976678›Full record

ArticleCell reports2023

The changing health impact of vaccines in the COVID-19 pandemic: A modeling study.

Jamie A Cohen, Robyn M Stuart, Jasmina Panovska-Griffiths, Edinah Mudimu, Romesh G Abeysuriya, Cliff C Kerr, Michael Famulare, Daniel J Klein

Open access · goldFull text read
In one paragraph

Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  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

8 authors at 4 institutions in 4 countries.

Jamie A CohenInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA, USA. Electronic address: jamie.cohen@gatesfoundation.org.
Robyn M StuartGender Equality Division (contractor), Bill Melinda Gates Foundation, Seattle, WA, USA.
Jasmina Panovska-GriffithsThe Big Data Institute and the Pandemic Sciences Institute, University of Oxford, Oxford, UK; The Queen's College, University of Oxford, Oxford, UK.
Edinah MudimuUniversity of South Africa, Pretoria, South Africa.
Romesh G AbeysuriyaBurnet Institute, Melbourne, VIC, Australia.
Cliff C KerrInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Michael FamulareInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Daniel J KleinInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Gates Foundation · USBurnet Institute · AUUniversity of Oxford · GBUniversity of South Africa · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much of the world's population had already been infected with COVID-19 by the time the Omicron variant emerged at the end of 2021, but the scale of the Omicron wave was larger than any that had come before or has happened since, and it left a global imprinting of immunity that changed the COVID-19 landscape. In this study, we simulate a South African population and demonstrate how population-level vaccine effectiveness and efficiency changed over the course of the first 2 years of the pandemic. We then introduce three hypothetical variants and evaluate the impact of vaccines with different properties. We find that variant-chasing vaccines have a narrow window of dominating pre-existing vaccines but that a variant-chasing vaccine strategy may have global utility, depending on the rate of spread from setting to setting. Next-generation vaccines might be able to overcome uncertainty in pace and degree of viral evolution.

Indexed as

COVID-19VaccinesHumansPandemicsSARS-CoV-2VaccinesCOVID-19CP: Immunologyinfectious disease modelingvaccines

Identifiers

PMID36976678
PMCPMC10015104
OpenAlexW4324363999

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read39
identifiers read1
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.