Reassessing the evidence for universal school-age BCG vaccination in England and Wales: re-evaluating and updating a modelling study.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
11 01 2022
Historique:
entrez: 12 1 2022
pubmed: 13 1 2022
medline: 15 3 2022
Statut: epublish

Résumé

In 2005, England and Wales switched from universal BCG vaccination against tuberculosis (TB) disease for school-age children to targeted vaccination of neonates. We aimed to recreate and re-evaluate a previously published model, the results of which informed this policy change. We recreated an approach for estimating the impact of ending the BCG schools scheme, correcting a methodological flaw in the model, updating the model with parameter uncertainty and improving parameter estimates where possible. We investigated scenarios for the assumed annual decrease in TB incidence rates considered by the UK's Joint Committee on Vaccination and Immunisation and explored alternative scenarios using notification data. England and Wales. The number of vaccines needed to prevent a single notification and the average annual additional notifications caused by ending the policy change. The previously published model was found to contain a methodological flaw and to be spuriously precise. It greatly underestimated the impact of ending school-age vaccination compared with our updated, corrected model. The updated model produced predictions with wide CIs when parameter uncertainty was included. Model estimates based on an assumption of an annual decrease in TB incidence rates of 1.9% were closest to those estimated using notification data. Using this assumption, we estimate that 1600 (2.5; 97.5% quantiles: 1300, 2000) vaccines would have been required to prevent a single notification in 2004. The impact of ending the BCG schools scheme was found to be greater than previously thought when notification data were used. Our results highlight the importance of independent evaluations of modelling evidence, including uncertainty, and evaluating multiple scenarios when forecasting the impact of changes in vaccination policy.

Identifiants

pubmed: 35017227
pii: bmjopen-2019-031573
doi: 10.1136/bmjopen-2019-031573
pmc: PMC8753396
doi:

Substances chimiques

BCG Vaccine 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e031573

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: HC reports receiving honoraria from Sanofi Pasteur and consultancy fees from AstraZeneca, GSK and IMS Health, all paid to her employer.

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Auteurs

Sam Abbott (S)

Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK sam.abbott@lshtm.ac.uk.
Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.

Hannah Christensen (H)

Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.

Ellen Brooks-Pollock (E)

Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.

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