Evidence map›Paper›PMID 36949456›Full record

ArticleBMC medicine2023

Potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study.

Naomi R Waterlow, Sreejith Radhakrishnan, Jeanette Dawa, Edwin van Leeuwen, Simon R Procter, Philipp Lambach, Joseph Bresee, Marie Mazur, Rosalind M Eggo, Mark Jit

Full text read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Naomi R WaterlowCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK. lsh1402815@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-9210-9657
Sreejith RadhakrishnanCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK.
Jeanette DawaCenter for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
Edwin van LeeuwenCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK.
Simon R ProcterCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK.
Philipp LambachImmunization Vaccines and Biologicals Department, World Health Organization, Geneva, Switzerland.
Joseph BreseeThe Task Force for Global Health, Decatur, GA, USA.
Marie MazurReady2Respond, Atlanta, USA.
Rosalind M EggoCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK.
Mark JitCentre for Mathematical Modeling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, WC14 7HT, UK.

Funding

Wellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

backgroundInfluenza is a major year-round cause of respiratory illness in Kenya, particularly in children under 5. Current influenza vaccines result in short-term, strain-specific immunity and were found in a previous study not to be cost-effective in Kenya. However, next-generation vaccines are in development that may have a greater impact and cost-effectiveness profile.

methodsWe expanded a model previously used to evaluate the cost-effectiveness of seasonal influenza vaccines in Kenya to include next-generation vaccines by allowing for enhanced vaccine characteristics and multi-annual immunity. We specifically examined vaccinating children under 5 years of age with improved vaccines, evaluating vaccines with combinations of increased vaccine effectiveness, cross-protection between strains (breadth) and duration of immunity. We evaluated cost-effectiveness using incremental cost-effectiveness ratios (ICERs) and incremental net monetary benefits (INMBs) for a range of values for the willingness-to-pay (WTP) per DALY averted. Finally, we estimated threshold per-dose vaccine prices at which vaccination becomes cost-effective.

resultsNext-generation vaccines can be cost-effective, dependent on the vaccine characteristics and assumed WTP thresholds. Universal vaccines (assumed to provide long-term and broad immunity) are most cost-effective in Kenya across three of four WTP thresholds evaluated, with the lowest median value of ICER per DALY averted ($263, 95% Credible Interval (CrI): $ - 1698, $1061) and the highest median INMBs. At a WTP of $623, universal vaccines are cost-effective at or below a median price of $5.16 per dose (95% CrI: $0.94, $18.57). We also show that the assumed mechanism underlying infection-derived immunity strongly impacts vaccine outcomes.

conclusionsThis evaluation provides evidence for country-level decision makers about future next-generation vaccine introduction, as well as global research funders about the potential market for these vaccines. Next-generation vaccines may offer a cost-effective intervention to reduce influenza burden in low-income countries with year-round seasonality like Kenya.

Indexed as

Influenza, HumanInfluenza VaccinesChildChild, PreschoolCost-Benefit AnalysisHumansKenyaVaccinationInfluenza VaccinesCost-effectivenessHealth economicsInfluenzaMathematical modellingNext-generation vaccinesVaccination

Identifiers

PMID36949456
PMCPMC10032252

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read6
measurements read83
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.