Evidence map›Paper›PMID 35109968›Full record

ArticleVaccine2022

Health and economic impact of seasonal influenza mass vaccination strategies in European settings: A mathematical modelling and cost-effectiveness analysis.

Frank G Sandmann, Edwin van Leeuwen, Sibylle Bernard-Stoecklin, Itziar Casado, Jesús Castilla, Lisa Domegan, Alin Gherasim, Mariëtte Hooiveld, Irina Kislaya, Amparo Larrauri and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  11. Anti-Inflammatory Mechanisms of Total Flavonoids fromEvidence-based complementary and alternative medicine : eCAM · 2022
    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

24 authors at 11 institutions in 6 countries.

Frank G SandmannUK Health Security Agency, London NW9 5EQ, United Kingdom.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
Edwin van LeeuwenUK Health Security Agency, London NW9 5EQ, United Kingdom.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), London, UK. Electronic address: Edwin.VanLeeuwen@phe.gov.uk.
Sibylle Bernard-StoecklinSanté Publique France, Saint Maurice, France.
Itziar CasadoInstituto de Salud Pública de Navarra - IdiSNA, CIBERESP, Pamplona, Spain.
Jesús CastillaInstituto de Salud Pública de Navarra - IdiSNA, CIBERESP, Pamplona, Spain.
Lisa DomeganHealth Service Executive-Health Protection Surveillance Centre, Dublin, Ireland.
Alin GherasimNational Centre of Epidemiology/CIBER de Epidemiologia y Salud Pública (CIBERESP). Institute of Health Carlos III, Madrid, Spain.
Mariëtte HooiveldNivel (Netherlands Institute for Health Services Research), Utrecht, the Netherlands.
Irina KislayaInstituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal.
Amparo LarrauriNational Centre of Epidemiology/CIBER de Epidemiologia y Salud Pública (CIBERESP). Institute of Health Carlos III, Madrid, Spain.
Daniel Levy-BruhlSanté Publique France, Saint Maurice, France.
Ausenda MachadoInstituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal.
Diogo F P MarquesHealth Protection Scotland (HPS), Glasgow, UK.
Iván Martínez-BazInstituto de Salud Pública de Navarra - IdiSNA, CIBERESP, Pamplona, Spain.
Clara MazagatosNational Centre of Epidemiology/CIBER de Epidemiologia y Salud Pública (CIBERESP). Institute of Health Carlos III, Madrid, Spain.
Jim McMenaminHealth Protection Scotland (HPS), Glasgow, UK.
Adam MeijerCentre for Infectious Disease Research, Diagnostics and Laboratory Surveillance, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Josephine L K MurrayHealth Protection Scotland (HPS), Glasgow, UK.
Baltazar NunesInstituto Nacional de Saúde Dr. Ricardo Jorge (INSA), Lisbon, Portugal.
Joan O'DonnellHealth Service Executive-Health Protection Surveillance Centre, Dublin, Ireland.
Arlene ReynoldsHealth Protection Scotland (HPS), Glasgow, UK.
Dominic ThorringtonHaute Autorité de Santé (HAS), Saint-Denis, France.
Richard PebodyUK Health Security Agency, London NW9 5EQ, United Kingdom.
Marc BaguelinUK Health Security Agency, London NW9 5EQ, United Kingdom.; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), London, UK; School of Public Health, Imperial College London, London, UK.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESHealth Protection Scotland · GBNational Institute of Health Dr. Ricardo Jorge · PTSanté Publique France · FRUK Health Security AgencyHealth Protection Surveillance Centre · IEImperial College London · GBInstituto de Salud Carlos III · ESInstituto de Salud Pública de Navarra · ESNational Institute for Public Health and the Environment · NLNetherlands Institute for Health Services Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite seasonal influenza vaccination programmes in most countries targeting individuals aged ≥ 65 (or ≥ 55) years and high risk-groups, significant disease burden remains. We explored the impact and cost-effectiveness of 27 vaccination programmes targeting the elderly and/or children in eight European settings (n = 205.8 million).

methodsWe used an age-structured dynamic-transmission model to infer age- and (sub-)type-specific seasonal influenza virus infections calibrated to England, France, Ireland, Navarra, The Netherlands, Portugal, Scotland, and Spain between 2010/11 and 2017/18. The base-case vaccination scenario consisted of non-adjuvanted, non-high dose trivalent vaccines (TV) and no universal paediatric vaccination. We explored i) moving the elderly to "improved" (i.e., adjuvanted or high-dose) trivalent vaccines (iTV) or non-adjuvanted non-high-dose quadrivalent vaccines (QV); ii) adopting mass paediatric vaccination with TV or QV; and iii) combining the elderly and paediatric strategies. We estimated setting-specific costs and quality-adjusted life years (QALYs) gained from the healthcare perspective, and discounted QALYs at 3.0%.

resultsIn the elderly, the estimated numbers of infection per 100,000 population are reduced by a median of 261.5 (range across settings: 154.4, 475.7) when moving the elderly to iTV and by 150.8 (77.6, 262.3) when moving them to QV. Through indirect protection, adopting mass paediatric programmes with 25% uptake achieves similar reductions in the elderly of 233.6 using TV (range: 58.9, 425.6) or 266.5 using QV (65.7, 477.9), with substantial health gains from averted infections across ages. At €35,000/QALY gained, moving the elderly to iTV plus adopting mass paediatric QV programmes provides the highest mean net benefits and probabilities of being cost-effective in all settings and paediatric coverage levels.

conclusionGiven the direct and indirect protection, and depending on the vaccine prices, model results support a combination of having moved the elderly to an improved vaccine and adopting universal paediatric vaccination programmes across the European settings.

Indexed as

Influenza, HumanInfluenza VaccinesAgedChildCost-Benefit AnalysisHumansMass VaccinationMiddle AgedQuality-Adjusted Life YearsSeasonsVaccinationInfluenza VaccinesEconomic evaluationInfluenzaMathematical modelPolicyPublic healthVaccination

Identifiers

PMID35109968
PMCPMC8861572
OpenAlexW4210253805

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.