Correspondence to: Estimating the full health and economic benefits of current and future influenza vaccines.

Assumptions Burden Complexity Cost-effectiveness Influenza Mathematical modelling Next-generation vaccines Vaccines

Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
09 08 2023
Historique:
received: 22 05 2023
accepted: 20 07 2023
medline: 11 8 2023
pubmed: 10 8 2023
entrez: 9 8 2023
Statut: epublish

Résumé

We recently published an article in BMC Medicine looking at the potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study. In their commentary on our article, Lafond et al. highlight the potential importance of the wider benefits of vaccination on cost-effectiveness. Whilst we agree with many points raised in the commentary, we think it raises further interesting discussion points, specifically around model complexity, model assumptions and data availability. These points are both relevant to this manuscript but have wider implications for vaccine cost-effectiveness studies.

Identifiants

pubmed: 37559086
doi: 10.1186/s12916-023-02996-3
pii: 10.1186/s12916-023-02996-3
pmc: PMC10411004
doi:

Substances chimiques

Influenza Vaccines 0

Types de publication

Letter Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

301

Commentaires et corrections

Type : CommentOn
Type : CommentOn

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

Références

Vaccine. 2017 Nov 1;35(46):6255-6263
pubmed: 28986035
BMC Med. 2023 Mar 22;21(1):106
pubmed: 36949456
BMC Med. 2023 Jul 4;21(1):229
pubmed: 37400797

Auteurs

Naomi R Waterlow (NR)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK. lsh1402815@lshtm.ac.uk.

Simon R Procter (SR)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Rosalind M Eggo (RM)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Mark Jit (M)

Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

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Classifications MeSH