ArticleJournal of the Royal Society, Interface2016
Understanding the within-host dynamics of influenza A virus: from theory to clinical implications.
Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Antibody dynamics in Japanese paediatric patients with influenza A infection treated with neuraminidase inhibitors in a randomised trial.Scientific reports · 2019Trial
- The architecture of computational antiviralism: a multi-scale framework from molecular targeting to viral ecosystem engineering.Molecular diversity · 2026Review
- Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance.Frontiers in immunology · 2026Article
- Inside-out: modelling the link between Zika virus viral dynamics within hosts and transmission to vectors across host species and virus strains.Journal of the Royal Society, Interface · 2025Article
- Article
- Uncovering the impact of infection routes on within-host MPXV dynamics: Insights from a mathematical modeling study.PLoS computational biology · 2025Article
- ViralBottleneck: an R package for estimating viral transmission bottlenecks from deep sequencing data using multiple methods.Virus evolution · 2025Article
- Association of viral loads of influenza A (H3N2) with age and care setting on presentation-a prospective study during the 2022-2023 influenza season in Spain.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2024Article
- The airborne transmission of viruses causes tight transmission bottlenecks.Nature communications · 2024Article
- How robust are estimates of key parameters in standard viral dynamic models?PLoS computational biology · 2024Article
- Evolutionary safety of lethal mutagenesis driven by antiviral treatment.PLoS biology · 2023Article
- Alternative antiviral approaches to combat influenza A virus.Virus genes · 2023Review
- Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients.International journal of data science and analytics · 2023Article
- Efficacy decrease of antiviral agents when administered to ongoing hepatitis C virus infections in cell culture.Frontiers in microbiology · 2022Article
- Immune-viral dynamics modeling for SARS-CoV-2 drug development.Clinical and translational science · 2021Article
- Within-host evolutionary dynamics of seasonal and pandemic human influenza A viruses in young children.eLife · 2021Article
- Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy.PLoS computational biology · 2021Article
- Dynamical characterization of antiviral effects in COVID-19.Annual reviews in control · 2021Article
- Zika virus dynamics: Effects of inoculum dose, the innate immune response and viral interference.PLoS computational biology · 2021Article
- Lassa viral dynamics in non-human primates treated with favipiravir or ribavirin.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models have provided important insights into acute viral dynamics within individual patients. In this paper, we study the simplest target cell-limited models to investigate the within-host dynamics of influenza A virus infection in humans. Despite the biological simplicity of the models, we show how these can be used to understand the severity of the infection and the key attributes of possible immunotherapy and antiviral drugs for the treatment of infection at different times post infection. Through an analytic approach, we derive and estimate simple summary biological quantities that can provide novel insights into the infection dynamics and the definition of clinical endpoints. We focus on nine quantities, including the area under the viral load curve, peak viral load, the time to peak viral load and the level of cell death due to infection. Using Markov chain Monte Carlo methods, we fitted the models to data collected from 12 untreated volunteers who participated in two clinical studies that tested the antiviral drugs oseltamivir and zanamivir. Based on the results, we also discuss various difficulties in deriving precise estimates of the parameters, even in the very simple models considered, when experimental data are limited to viral load measures and/or there is a limited number of viral load measurements post infection.
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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.