Evidence map›Paper›PMID 37243092›Full record

ArticleVaccines2023

A Methodological Framework for Assessing the Benefit of SARS-CoV-2 Vaccination following Previous Infection: Case Study of Five- to Eleven-Year-Olds.

Christina Pagel, Harrison Wilde, Christopher Tomlinson, Bilal Mateen, Katherine Brown

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 5 institutions in 1 country.

Christina PagelClinical Operational Research Unit, Department of Mathematics, University College London (UCL), London WC1E 6BT, UK.ORCID 0000-0002-2857-1628
Harrison WildeDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-4391-8204
Christopher TomlinsonUCL Institute of Health Informatics, University College London (UCL), London NW1 2DA, UK.ORCID 0000-0002-0903-5395
Bilal MateenUCL Institute of Health Informatics, University College London (UCL), London NW1 2DA, UK.
Katherine BrownBiomedical Research Centre, Great Ormond Street Hospital for Children, London WC1N 3JH, UK.
Great Ormond Street Hospital · GBUCL Biomedical Research Centre · GBUK Research and Innovation · GBUniversity College London · GBUniversity of Warwick · GB

Funding

British Heart Foundation SP/19/3/34678Medical Research Council MC_PC_20058
6 · The paper itself

Abstract

Vaccination rates against SARS-CoV-2 in children aged five to eleven years remain low in many countries. The current benefit of vaccination in this age group has been questioned given that the large majority of children have now experienced at least one SARS-CoV-2 infection. However, protection from infection, vaccination or both wanes over time. National decisions on offering vaccines to this age group have tended to be made without considering time since infection. There is an urgent need to evaluate the additional benefits of vaccination in previously infected children and under what circumstances those benefits accrue. We present a novel methodological framework for estimating the potential benefits of COVID-19 vaccination in previously infected children aged five to eleven, accounting for waning. We apply this framework to the UK context and for two adverse outcomes: hospitalisation related to SARS-CoV-2 infection and Long Covid. We show that the most important drivers of benefit are: the degree of protection provided by previous infection; the protection provided by vaccination; the time since previous infection; and future attack rates. Vaccination can be very beneficial for previously infected children if future attack rates are high and several months have elapsed since the previous major wave in this group. Benefits are generally larger for Long Covid than hospitalisation, because Long Covid is both more common than hospitalisation and previous infection offers less protection against it. Our framework provides a structure for policy makers to explore the additional benefit of vaccination across a range of adverse outcomes and different parameter assumptions. It can be easily updated as new evidence emerges.

Indexed as

COVID-19health policymathematical modellingpaediatric vaccines

Identifiers

PMID37243092
PMCPMC10220644
OpenAlexW4377041201

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.