ArticleCurrent opinion in systems biology2018
Validated Models of Immune Response to Virus Infection.
Article in Current opinion in systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Quantifying the role of pre-existing tissue resident cellular immunity in limiting respiratory virus transmission.PLoS pathogens · 2026Article
- Review
- Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025Article
- Multi-physiology modeling of the immune system in the era of precision immunotherapy.Frontiers in immunology · 2025Review
- In Silico Subtractive Proteome Analysis to Design Multi-Epitope-Based Subunit Vaccine againstJournal of microbiology and biotechnology · 2024Article
- Quantitatively Mapping Immune Control during Influenza.Current opinion in systems biology · 2024Article
- NIAID/SMB Workshop on Multiscale Modeling of Infectious and Immune-Mediated Diseases.Bulletin of mathematical biology · 2024Article
- Article
- Modulating Immune Response in Viral Infection for Quantitative Forecasts of Drug Efficacy.Pharmaceutics · 2023Review
- Article
- Multicellular spatial model of RNA virus replication and interferon responses reveals factors controlling plaque growth dynamics.PLoS computational biology · 2021Article
- A model of the innate immune response to SARS-CoV-2 in the alveolar epithelium.Royal Society open science · 2021Article
- Quantifying dose-, strain-, and tissue-specific kinetics of parainfluenza virus infection.PLoS computational biology · 2021Article
- Dynamically linking influenza virus infection kinetics, lung injury, inflammation, and disease severity.eLife · 2021Article
- Incorporating Time Delays in the Mathematical Modelling of the Human Immune Response in Viral Infections.Procedia computer science · 2021Article
- A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness.PLoS computational biology · 2020Article
- Analysis of the initiation of viral infection under flow conditions with applications to transmission in feed.Bio Systems · 2020Article
- A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness: A multiscale model of viral infection in epithelial tissues.bioRxiv : the preprint server for biology · 2020Article
- Leveraging Computational Modeling to Understand Infectious Diseases.Current pathobiology reports · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Viruses are a main cause of disease worldwide and many are without effective therapeutics or vaccines. A lack of understanding about how host responses work to control viral spread is one factor limiting effective management. How different immune components regulate infection dynamics is beginning to be better understood with the help of mathematical models. These models have been key in discriminating between hypotheses and in identifying rates of virus growth and clearance, dynamical control by different host factors and antivirals, and synergistic interactions during multi-pathogen infections. A recent focus in evaluating model predictions in the laboratory and clinic has illuminate the accuracy of models for a variety of viruses and highlighted the critical nature of theoretical approaches in virology. Here, I discuss recent model-driven exploration of host-pathogen interactions that have illustrated the importance of model validation in establishing the model's predictive capability and in defining new biology.
Identifiers
What OpenQuestion holds
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.