ArticleBMC infectious diseases2014
4Flu - an individual based simulation tool to study the effects of quadrivalent vaccination on seasonal influenza in Germany.
Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Comparisons in the Health and Economic Assessments of Using Quadrivalent Versus Trivalent Influenza Vaccines: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023Pooled it
- Incorporating human dynamic populations in models of infectious disease transmission: a systematic review.BMC infectious diseases · 2022Pooled it
- Safety and immunogenicity of a quadrivalent, inactivated, split-virion influenza vaccine (IIV4-W) in healthy people aged 3-60 years: a phase III randomized clinical noninferiority trial.Human vaccines & immunotherapeutics · 2022Trial
- Assessment of Immunogenicity of Adjuvanted Quadrivalent Inactivated Influenza Vaccine in Healthy People and Patients With Common Variable Immune Deficiency.Frontiers in immunology · 2020Trial
- Immunogenicity and safety of a cell culture-based quadrivalent influenza vaccine in adults: A Phase III, double-blind, multicenter, randomized, non-inferiority study.Human vaccines & immunotherapeutics · 2016Trial
- Comparison of Post-Vaccination Cellular Immune Response in Patients with Common Variable Immune Deficiency.Vaccines · 2024Article
- Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality.BMC infectious diseases · 2023Article
- Article
- Immunogenicity and safety of inactivated quadrivalent influenza vaccine compared with the trivalent vaccine for influenza infection: an overview of systematic reviews.BMC infectious diseases · 2023Review
- Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.PLoS computational biology · 2023Article
- A Comparison of Etiology, Pathogenesis, Vaccinal and Antiviral Drug Development between Influenza and COVID-19.International journal of molecular sciences · 2023Review
- Cost-utility analysis of increasing uptake of universal seasonal quadrivalent influenza vaccine (QIV) in children aged 6 months and older in Germany.Human vaccines & immunotherapeutics · 2022Article
- Article
- Development of Lentiviral Vectors Pseudotyped With Influenza B Hemagglutinins: Application in Vaccine Immunogenicity, mAb Potency, and Sero-Surveillance Studies.Frontiers in immunology · 2021Article
- Assessing direct and indirect effects of pediatric influenza vaccination in Germany by individual-based simulations.Human vaccines & immunotherapeutics · 2020Article
- Article
- A review of the value of quadrivalent influenza vaccines and their potential contribution to influenza control.Human vaccines & immunotherapeutics · 2017Review
- Direct and indirect effects of influenza vaccination.BMC infectious diseases · 2017Article
- Is the impact of childhood influenza vaccination less than expected: a transmission modelling study.BMC infectious diseases · 2017Article
- Cost-effectiveness of seasonal quadrivalent versus trivalent influenza vaccination in the United States: A dynamic transmission modeling approach.Human vaccines & immunotherapeutics · 2017Article
Corrections and comments
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Authors and funding
7 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfluenza vaccines contain Influenza A and B antigens and are adjusted annually to match the characteristics of circulating viruses. In Germany, Influenza B viruses belonged to the B/Yamagata lineage, but since 2001, the antigenically distinct B/Victoria lineage has been co-circulating. Trivalent influenza vaccines (TIV) contain antigens of the two A subtypes A(H3N2) and A(H1N1), yet of only one B lineage, resulting in frequent vaccine mismatches. Since 2012, the WHO has been recommending vaccine strains from both B lineages, paving the way for quadrivalent influenza vaccines (QIV).
methodsUsing an individual-based simulation tool, we simulate the concomitant transmission of four influenza strains, and compare the effects of TIV and QIV on the infection incidence. Individuals are connected in a dynamically evolving age-dependent contact network based on the POLYMOD matrix; their age-distribution reproduces German demographic data and predictions. The model considers maternal protection, boosting of existing immunity, loss of immunity, and cross-immunizing events between the B lineages. Calibration to the observed annual infection incidence of 10.6% among young adults yielded a basic reproduction number of 1.575. Vaccinations are performed annually in October and November, whereby coverage depends on the vaccinees' age, their risk status and previous vaccination status. New drift variants are introduced at random time points, leading to a sudden loss of protective immunity for part of the population and occasionally to reduced vaccine efficacy. Simulations run for 50 years, the first 30 of which are used for initialization. During the final 20 years, individuals receive TIV or QIV, using a mirrored simulation approach.
resultsUsing QIV, the mean annual infection incidence can be reduced from 8,943,000 to 8,548,000, i.e. by 395,000 infections, preventing 11.2% of all Influenza B infections which still occur with TIV (95% CI: 10.7-11.8%). Using a lower B lineage cross protection than the baseline 60%, the number of Influenza B infections increases and the number additionally prevented by QIV can be 5.5 times as high.
conclusionsVaccination with TIV substantially reduces the Influenza incidence compared to no vaccination. Depending on the assumed degree of B lineage cross protection, QIV further reduces Influenza B incidence by 11-33%.
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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.