ArticlePLoS biology2018
Timescales of influenza A/H3N2 antibody dynamics.
Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.
- Differences in clinical characteristics between coronavirus disease 2019 (COVID-19) and influenza: a systematic review and meta-analysis.NPJ primary care respiratory medicine · 2025Pooled it
- Evidence of West Nile Virus Infections in Wild Boars (Sus scrofa) in the Netherlands, 2018-2021.Zoonoses and public health · 2026Article
- Alignment-free prediction of cross-reactivity in influenza A (H3N2) anticipates antigenic drift.PLoS computational biology · 2026Article
- CAPYBARA: A generalizable framework for predicting serological measurements across human cohorts.PLoS computational biology · 2026Article
- Article
- Near real-time data on the human neutralizing antibody landscape to influenza virus as of early 2026 to inform vaccine-strain selection.bioRxiv : the preprint server for biology · 2026Article
- Near real-time data on the human neutralizing antibody landscape to influenza virus as of early 2026 to inform vaccine-strain selection.Virus evolution · 2026Article
- Dynamics of endemic virus re-emergence in children in the USA following the COVID-19 pandemic (2022-23): a prospective, multicentre, longitudinal, immunoepidemiological surveillance study.The Lancet. Infectious diseases · 2026Article
- High-throughput neutralization measurements correlate strongly with evolutionary success of human influenza strains.bioRxiv : the preprint server for biology · 2025Article
- The impact of Omicron infection on antibody response and attenuation: a six-month follow-up study.BMC infectious diseases · 2025Article
- Emergence of SARS-CoV-2 Omicron lineages shifted antibody-mediated protection curves.iScience · 2025Article
- Breadth of influenza A antibody cross-reactivity varies by virus isolation interval and subtype.Nature microbiology · 2025Article
- How immunity shapes the long-term dynamics of influenza H3N2.PLoS computational biology · 2025Article
- RSero: A user-friendly R package to reconstruct pathogen circulation history from seroprevalence studies.PLoS computational biology · 2025Article
- Antibody responses against influenza A decline with successive years of annual influenza vaccination.NPJ vaccines · 2025Article
- Article
- Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.Epidemics · 2024Review
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.PLoS biology · 2024Article
- Measures of Population Immunity Can Predict the Dominant Clade of Influenza A (H3N2) in the 2017-2018 Season and Reveal Age-Associated Differences in Susceptibility and Antibody-Binding Specificity.Influenza and other respiratory viruses · 2024Article
- Measures of population immunity can predict the dominant clade of influenza A (H3N2) in the 2017-2018 season and reveal age-associated differences in susceptibility and antibody-binding specificity.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
Human immunity influences the evolution and impact of influenza strains. Because individuals are infected with multiple influenza strains during their lifetime, and each virus can generate a cross-reactive antibody response, it is challenging to quantify the processes that shape observed immune responses or to reliably detect recent infection from serological samples. Using a Bayesian model of antibody dynamics at multiple timescales, we explain complex cross-reactive antibody landscapes by inferring participants' histories of infection with serological data from cross-sectional and longitudinal studies of influenza A/H3N2 in southern China and Vietnam. We find that individual-level influenza antibody profiles can be explained by a short-lived, broadly cross-reactive response that decays within a year to leave a smaller long-term response acting against a narrower range of strains. We also demonstrate that accounting for dynamic immune responses alongside infection history can provide a more accurate alternative to traditional definitions of seroconversion for the estimation of infection attack rates. Our work provides a general model for quantifying aspects of influenza immunity acting at multiple timescales based on contemporary serological data and suggests a two-armed immune response to influenza infection consistent with competitive dynamics between B cell populations. This approach to analysing multiple timescales for antigenic responses could also be applied to other multistrain pathogens such as dengue and related flaviviruses.
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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.