ArticlePLoS computational biology2012
Modeling within-host dynamics of influenza virus infection including immune responses.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.
What it found
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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
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Who cites it
150 citing papers in PubMed, 266 citations in OpenAlex.
- Heterogeneous shedding of influenza by human subjects and its implications for epidemiology and control.Scientific reports · 2016Trial
- Clinical trial simulation of antiviral drugs.Journal of virology · 2026Review
- Clinical, Virological, and Pathological Outcomes Associated with Viral Dose in AG129 Mice Infected with Chikungunya Virus: An In Vivo Model to Study Viral Pathogenesis and Antiviral Preclinical Evaluation.Pathogens (Basel, Switzerland) · 2026Article
- Spatio-temporal modelling of in vitro influenza A virus infection: The impact of defective interfering particles on the type I interferon response.PLoS computational biology · 2026Article
- Quantifying the role of pre-existing tissue resident cellular immunity in limiting respiratory virus transmission.PLoS pathogens · 2026Article
- CD8+ T cells and Humoral Immunity Influence the Development of Antibody-Dependent Enhancement: Implications for Vaccine Design.bioRxiv : the preprint server for biology · 2026Article
- Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance.Frontiers in immunology · 2026Article
- Spatio-temporal modelling ofbioRxiv : the preprint server for biology · 2025Article
- CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration.PLoS computational biology · 2025Article
- Uncovering the impact of infection routes on within-host MPXV dynamics: Insights from a mathematical modeling study.PLoS computational biology · 2025Article
- Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.The European respiratory journal · 2025Article
- Modeling suggests SARS-CoV-2 rebound after nirmatrelvir-ritonavir treatment is driven by target cell preservation coupled with incomplete viral clearance.Journal of virology · 2025Article
- Mathematical Model of Influenza Infection Suggests JAK-STAT Activity Drives Severe Pathologies in Juvenile Mice.Frontiers in applied mathematics and statistics · 2025Article
- Multi-strain modeling of influenza vaccine effectiveness in older adults and its dependence on antigenic distance.Scientific reports · 2024Article
- Modeling the CD8＋ T cell immune response to influenza infection in adult and aged mice.Journal of theoretical biology · 2024Article
- Modelling the mechanisms of antibody mixtures in viral infections: the cases of sequential homologous and heterologous dengue infections.Journal of the Royal Society, Interface · 2024Article
- Modeling suggests SARS-CoV-2 rebound after nirmatrelvir-ritonavir treatment is driven by target cell preservation coupled with incomplete viral clearance.bioRxiv : the preprint server for biology · 2024Article
- Mathematical Modeling Suggests That Monocyte Activity May Drive Sex Disparities during Influenza Infection.Viruses · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- The airborne transmission of viruses causes tight transmission bottlenecks.Nature communications · 2024Article
90 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Influenza virus infection remains a public health problem worldwide. The mechanisms underlying viral control during an uncomplicated influenza virus infection are not fully understood. Here, we developed a mathematical model including both innate and adaptive immune responses to study the within-host dynamics of equine influenza virus infection in horses. By comparing modeling predictions with both interferon and viral kinetic data, we examined the relative roles of target cell availability, and innate and adaptive immune responses in controlling the virus. Our results show that the rapid and substantial viral decline (about 2 to 4 logs within 1 day) after the peak can be explained by the killing of infected cells mediated by interferon activated cells, such as natural killer cells, during the innate immune response. After the viral load declines to a lower level, the loss of interferon-induced antiviral effect and an increased availability of target cells due to loss of the antiviral state can explain the observed short phase of viral plateau in which the viral level remains unchanged or even experiences a minor second peak in some animals. An adaptive immune response is needed in our model to explain the eventual viral clearance. This study provides a quantitative understanding of the biological factors that can explain the viral and interferon kinetics during a typical influenza virus 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.