ArticleViruses2017
The Mechanisms for Within-Host Influenza Virus Control Affect Model-Based Assessment and Prediction of Antiviral Treatment.
Article in Viruses, 2017. 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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Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- Antibody dynamics in Japanese paediatric patients with influenza A infection treated with neuraminidase inhibitors in a randomised trial.Scientific reports · 2019Trial
- Multi-objective control to schedule therapies for acute viral infections.Journal of mathematical biology · 2025Article
- Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review.Microorganisms · 2023Review
- Enhanced viral infectivity and reduced interferon production are associated with high pathogenicity for influenza viruses.PLoS computational biology · 2023Article
- Multiscale Model of Antiviral Timing, Potency, and Heterogeneity Effects on an Epithelial Tissue Patch Infected by SARS-CoV-2.Viruses · 2022Article
- Modelling the Effect of MUC1 on Influenza Virus Infection Kinetics and Macrophage Dynamics.Viruses · 2021Article
- Dynamical characterization of antiviral effects in COVID-19.Annual reviews in control · 2021Article
- Mathematical analysis of a within-host model of SARS-CoV-2.Advances in difference equations · 2021Article
- Asynchrony between virus diversity and antibody selection limits influenza virus evolution.eLife · 2020Article
- Article
- SARS-CoV-2 coinfections: Could influenza and the common cold be beneficial?Journal of medical virology · 2020Article
- A mathematical model describing the localization and spread of influenza A virus infection within the human respiratory tract.PLoS computational biology · 2020Article
- The rate of viral transfer between upper and lower respiratory tracts determines RSV illness duration.Journal of mathematical biology · 2019Article
- Structure and Hierarchy of Influenza Virus Models Revealed by Reaction Network Analysis.Viruses · 2019Article
- Host-pathogen kinetics during influenza infection and coinfection: insights from predictive modeling.Immunological reviews · 2018Review
- Article
- Investigating Different Mechanisms of Action in Combination Therapy for Influenza.Frontiers in pharmacology · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Models of within-host influenza viral dynamics have contributed to an improved understanding of viral dynamics and antiviral effects over the past decade. Existing models can be classified into two broad types based on the mechanism of viral control: models utilising target cell depletion to limit the progress of infection and models which rely on timely activation of innate and adaptive immune responses to control the infection. In this paper, we compare how two exemplar models based on these different mechanisms behave and investigate how the mechanistic difference affects the assessment and prediction of antiviral treatment. We find that the assumed mechanism for viral control strongly influences the predicted outcomes of treatment. Furthermore, we observe that for the target cell-limited model the assumed drug efficacy strongly influences the predicted treatment outcomes. The area under the viral load curve is identified as the most reliable predictor of drug efficacy, and is robust to model selection. Moreover, with support from previous clinical studies, we suggest that the target cell-limited model is more suitable for modelling in vitro assays or infection in some immunocompromised/immunosuppressed patients while the immune response model is preferred for predicting the infection/antiviral effect in immunocompetent animals/patients.
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