Evidence map›Paper›PMID 39557448›Full record

ArticleBMJ global health2024

Health impact and cost-effectiveness of vaccination using potential next-generation influenza vaccines in Thailand: a modelling study.

Simon R Procter, Naomi R Waterlow, Sreejith Radhakrishnan, Edwin van Leeuwen, Aronrag Meeyai, Ben S Cooper, Sunate Chuenkitmongkol, Yot Teerawattananon, Rosalind M Eggo, Mark Jit

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Article in BMJ global health, 2024. 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
–field-weighted citation impact
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. 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

10 authors.

Simon R Procter *Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK simon.procter@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-0380-1503
Naomi R Waterlow *Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Sreejith RadhakrishnanDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Edwin van LeeuwenDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-2383-5305
Aronrag MeeyaiCentre for Tropical Medicine and Global Health, University of Oxford, Nuffield Department of Medicine, Oxford, UK.
Ben S CooperCentre for Tropical Medicine and Global Health, University of Oxford, Nuffield Department of Medicine, Oxford, UK.
Sunate ChuenkitmongkolNational Vaccine Institute, Nonthaburi, Thailand.
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Ministry of Health, Muang, Thailand.
Rosalind M EggoDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-0362-6717
Mark JitDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionThailand was one of the first low- and middle-income countries to publicly fund seasonal influenza vaccines, but the lack of predictability in the timing of epidemics and difficulty in predicting the dominant influenza subtypes present a challenge for existing vaccines. Next-generation influenza vaccines (NGIVs) are being developed with the dual aims of broadening the strain coverage and conferring longer-lasting immunity. However, there are no economic evaluations of NGIVs in Thailand.

methodsWe estimated the health impact and cost-effectiveness of NGIVs in Thailand between 2005 and 2009 using a combined epidemiological and economic model. We fitted the model to data on laboratory-confirmed influenza cases and then simulated the number of influenza infections, symptomatic cases, hospitalisations and deaths under different vaccination scenarios based on WHO-preferred product characteristics for NGIVs. We used previous estimates of costs and disability adjusted life years (DALYs) for influenza health outcomes to estimate incremental net monetary benefit, vaccine threshold prices and budget impact.

resultsWith the current vaccine programme, there were an estimated 61 million influenza infections. Increasing coverage to 50% using improved vaccines reduced infections to between 23 and 57 million, and with universal vaccines to between 21 and 49 million, depending on the age groups targeted. Depending on the comparator, threshold prices for NGIVs ranged from US$2.80 to US$12.90 per dose for minimally improved vaccines and US$24.60 to US$69.90 for universal vaccines.

conclusionInfluenza immunisation programmes using NGIVs are anticipated to provide considerable health benefits and be cost-effective in Thailand. However, although NGIVs might even be cost-saving in the long run, there could be significant budget implications for the Thai government even if the vaccines can be procured at a substantial discount to the maximum threshold price.

Indexed as

Cost-Benefit AnalysisInfluenza, HumanInfluenza VaccinesAdolescentAdultAgedChildChild, PreschoolFemaleHealth Impact AssessmentHumansImmunization ProgramsInfantMaleMiddle AgedModels, EconomicInfluenza VaccinesGlobal HealthHealth economicsImmunisationRespiratory infectionsVaccines

Identifiers

PMID39557448
PMCPMC11574519

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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.