ReviewViruses2015
Modeling Influenza Virus Infection: A Roadmap for Influenza Research.
Review in Viruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 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
69 citing papers in PubMed, 171 citations in OpenAlex.
- Quantitative risk assessment of avian influenza: A scoping review.Infectious Disease Modelling · 2026Review
- Article
- Decoding cellular population dynamics through mechanistic modelling and statistical data analysis.NPJ systems biology and applications · 2026Review
- Generation of an Induced Pluripotent Stem Cell-Derived Alveolar Type II In Vitro Model to Study Influenza A Virus Infection and Drug Treatments.Advanced healthcare materials · 2026Article
- Influenza A Virus after Radiotherapy Amplifies Lung Injury and Monocyte-derived Macrophage Responses.American journal of respiratory cell and molecular biology · 2026Article
- A dominant role of cell death in limiting Chandipura virus propagation at cell-saturating high multiplicity of infection.bioRxiv : the preprint server for biology · 2025Article
- Analyzing Differences in Viral Dynamics Between Vaccinated and Unvaccinated RSV Patients.Epidemiologia (Basel, Switzerland) · 2025Article
- Modelling and investigating memory immune responses in infectious disease. Application to influenza a virus and sars-cov-2 reinfections.Infectious Disease Modelling · 2025Article
- Mathematical Model of Influenza Infection Suggests JAK-STAT Activity Drives Severe Pathologies in Juvenile Mice.Frontiers in applied mathematics and statistics · 2025Article
- Article
- Identifiability investigation of within-host models of acute virus infection.Mathematical biosciences and engineering : MBE · 2024Article
- Modeling the CD8＋ T cell immune response to influenza infection in adult and aged mice.Journal of theoretical biology · 2024Article
- Identifiability investigation of within-host models of acute virus infection.bioRxiv : the preprint server for biology · 2024Article
- Exploring the immune-inflammatory mechanism of Maxing Shigan Decoction in treating influenza virus A-induced pneumonia based on an integrated strategy of single-cell transcriptomics and systems biology.European journal of medical research · 2024Article
- Modeling and analysis of the effect of optimal virus control on the spread of HFMD.Scientific reports · 2024Article
- Outlining recent updates on influenza therapeutics and vaccines: A comprehensive review.Vaccine: X · 2024Review
- Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review.Microorganisms · 2023Review
- Modeling suggests that virion production cycles within individual cells is key to understanding acute hepatitis B virus infection kinetics.PLoS computational biology · 2023Article
- Antibody Dynamics Simulation-A Mathematical Exploration of Clonal Deletion and Somatic Hypermutation.Biomedicines · 2023Article
- The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions.Immunoinformatics (Amsterdam, Netherlands) · 2023Review
9 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
12 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza A virus (IAV) infection represents a global threat causing seasonal outbreaks and pandemics. Additionally, secondary bacterial infections, caused mainly by Streptococcus pneumoniae, are one of the main complications and responsible for the enhanced morbidity and mortality associated with IAV infections. In spite of the significant advances in our knowledge of IAV infections, holistic comprehension of the interplay between IAV and the host immune response (IR) remains largely fragmented. During the last decade, mathematical modeling has been instrumental to explain and quantify IAV dynamics. In this paper, we review not only the state of the art of mathematical models of IAV infection but also the methodologies exploited for parameter estimation. We focus on the adaptive IR control of IAV infection and the possible mechanisms that could promote a secondary bacterial coinfection. To exemplify IAV dynamics and identifiability issues, a mathematical model to explain the interactions between adaptive IR and IAV infection is considered. Furthermore, in this paper we propose a roadmap for future influenza research. The development of a mathematical modeling framework with a secondary bacterial coinfection, immunosenescence, host genetic factors and responsiveness to vaccination will be pivotal to advance IAV infection understanding and treatment optimization.
Indexed as
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.