ArticlePLoS computational biology2016
Universal or Specific? A Modeling-Based Comparison of Broad-Spectrum Influenza Vaccines against Conventional, Strain-Matched Vaccines.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 32 citations in OpenAlex.
- Virosomes: Beyond Vaccines.Life (Basel, Switzerland) · 2025Review
- Advancing influenza vaccines: A review of next-generation candidates and their potential for global health impact.Vaccine · 2024Review
- Potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study.BMC medicine · 2023Article
- Effects of epistasis and recombination between vaccine-escape and virulence alleles on the dynamics of pathogen adaptation.Nature ecology & evolution · 2022Article
- Antigenic escape selects for the evolution of higher pathogen transmission and virulence.Nature ecology & evolution · 2022Article
- Mosaic vaccination: How distributing different vaccines across a population could improve epidemic control.Evolution letters · 2021Article
- Review
- Immune Responses Elicited by Live Attenuated Influenza Vaccines as Correlates of Universal Protection against Influenza Viruses.Vaccines · 2021Review
- Beyond clinical trials: Evolutionary and epidemiological considerations for development of a universal influenza vaccine.PLoS pathogens · 2020Review
- Predicting the short-term success of human influenza virus variants with machine learning.Proceedings. Biological sciences · 2020Article
- Population implications of the deployment of novel universal vaccines against epidemic and pandemic influenza.Journal of the Royal Society, Interface · 2020Article
- Early prediction of antigenic transitions for influenza A/H3N2.PLoS computational biology · 2020Article
- Targeting Hemagglutinin: Approaches for Broad Protection against the Influenza A Virus.Viruses · 2019Review
- Dynamic Perspectives on the Search for a Universal Influenza Vaccine.The Journal of infectious diseases · 2019Article
- Fogarty International Center collaborative networks in infectious disease modeling: Lessons learnt in research and capacity building.Epidemics · 2019Review
- Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology.Trends in microbiology · 2018Review
- Intermediate levels of vaccination coverage may minimize seasonal influenza outbreaks.PloS one · 2018Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Despite the availability of vaccines, influenza remains a major public health challenge. A key reason is the virus capacity for immune escape: ongoing evolution allows the continual circulation of seasonal influenza, while novel influenza viruses invade the human population to cause a pandemic every few decades. Current vaccines have to be updated continually to keep up to date with this antigenic change, but emerging 'universal' vaccines-targeting more conserved components of the influenza virus-offer the potential to act across all influenza A strains and subtypes. Influenza vaccination programmes around the world are steadily increasing in their population coverage. In future, how might intensive, routine immunization with novel vaccines compare against similar mass programmes utilizing conventional vaccines? Specifically, how might novel and conventional vaccines compare, in terms of cumulative incidence and rates of antigenic evolution of seasonal influenza? What are their potential implications for the impact of pandemic emergence? Here we present a new mathematical model, capturing both transmission dynamics and antigenic evolution of influenza in a simple framework, to explore these questions. We find that, even when matched by per-dose efficacy, universal vaccines could dampen population-level transmission over several seasons to a greater extent than conventional vaccines. Moreover, by lowering opportunities for cross-protective immunity in the population, conventional vaccines could allow the increased spread of a novel pandemic strain. Conversely, universal vaccines could mitigate both seasonal and pandemic spread. However, where it is not possible to maintain annual, intensive vaccination coverage, the duration and breadth of immunity raised by universal vaccines are critical determinants of their performance relative to conventional vaccines. In future, conventional and novel vaccines are likely to play complementary roles in vaccination strategies against influenza: in this context, our results suggest important characteristics to monitor during the clinical development of emerging vaccine technologies.
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Registered trials
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.