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1000 Titel
  • Vaccinating the German Population Aged 60 Years and Over with a Quadrivalent High-Dose Inactivated Influenza Vaccine Compared to Standard-Dose Vaccines: A Transmission and Budget Impact Model
1000 Autor/in
  1. Pahmeier, Kathrin |
  2. Speckemeier, Christian |
  3. Neusser, Silke |
  4. Wasem, Juergen |
  5. Biermann-Stallwitz, Janine |
1000 Verlag Springer International Publishing
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-07-11
1000 Erschienen in
1000 Quellenangabe
  • 41(11):1539-1550
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s40273-023-01299-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570167/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background and objective!#!In Germany, influenza vaccination is mainly advised for persons aged 60 years and over and individuals with health risks. Since 2021, an inactivated, quadrivalent high-dose influenza vaccine (IIV4-HD) has been recommended for persons aged 60 years and over. The aim of this study was to calculate the impact of vaccinating the German population aged 60 years and over with IIV4-HD compared to standard-dose influenza vaccines (IIV4-SD) with regard to health outcomes and costs.!##!Methods!#!An age-stratified deterministic compartment model was built to simulate the course of influenza infection for the German population in the season 2019/20. Probabilities for health outcomes and cost data were searched from the literature and were used to compare the influenza-related health and economic effects for different scenarios. Perspectives were those of the statutory health insurance and the society. Deterministic sensitivity analyses were conducted.!##!Results!#!From the statutory health insurance perspective, vaccinating the German population aged 60 years and over with IIV4-HD would have prevented 277,026 infections (- 1.1%) with an increase of overall direct costs of €224 million (+ 40.1%) compared with IIV4-SD. A separate analysis showed that increased vaccination of 75% (World Health Organization recommendation for older age groups) in persons aged 60 years and over using IIV4-SD only would prevent 1,289,648 infections (- 5.1%) and would save costs from a statutory health insurance perspective of €103 million (- 13.2%) compared with IIV4-HD at actual vaccination rates.!##!Conclusions!#!The modeling approach offers important insights into the epidemiological and budgetary impact of different vaccination scenarios. Achieving a higher vaccination coverage with IIV4-SD in persons aged 60 years and over would result in lower costs and fewer influenza infections compared with the scenario with IIV4-HD and actual vaccination rates.
1000 Sacherschließung
lokal Influenza Vaccines [MeSH]
lokal Medical and Health Sciences
lokal Cost-Benefit Analysis [MeSH]
lokal Vaccines, Inactivated [MeSH]
lokal Aged [MeSH]
lokal Humans [MeSH]
lokal Original Research Article
lokal Middle Aged [MeSH]
lokal Vaccination [MeSH]
lokal Influenza, Human/prevention
lokal Probability [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7259-5769|https://orcid.org/0000-0001-7507-4432|https://frl.publisso.de/adhoc/uri/TmV1c3NlciwgU2lsa2U=|https://orcid.org/0000-0001-9653-168X|https://orcid.org/0000-0001-5683-3747
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  • DeepGreen-ID: 438563988799474f9dd18d9ba77d692a ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
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  1. Viatris Healthcare GmbH |
  2. Universität Duisburg-Essen |
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  2. -
1000 Dateien
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    1000 Förderer Viatris Healthcare GmbH |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Universität Duisburg-Essen |
    1000 Förderprogramm -
    1000 Fördernummer -
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1000 Erstellt am 2024-10-03T09:22:03.277+0200
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1000 Zuletzt bearbeitet 2025-08-14T01:53:20.965+0200
1000 Objekt bearb. Thu Aug 14 01:53:20 CEST 2025
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