ArticleJournal of virology2011
Population modeling of influenza A/H1N1 virus kinetics and symptom dynamics.
Article in Journal of virology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.
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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
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.
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Who cites it
59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 113 citations in OpenAlex.
- Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review.BMC infectious diseases · 2025Pooled it
- Model-informed drug repurposing: A pharmacometric approach to novel pathogen preparedness, response and retrospection.British journal of clinical pharmacology · 2021Pooled it
- Heterogeneous shedding of influenza by human subjects and its implications for epidemiology and control.Scientific reports · 2016Trial
- Review
- Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets.PLoS computational biology · 2025Article
- A Viral Neuraminidase-Specific Sensor for Taste-Based Detection of Influenza.ACS central science · 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
- Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review.Microorganisms · 2023Review
- Modelling of the Innate and Adaptive Immune Response to SARS Viral Infection, Cytokine Storm and Vaccination.Vaccines · 2023Article
- Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning.mSystems · 2022Article
- Estimation of viral kinetics model parameters in young and aged SARS-CoV-2 infected macaques.Royal Society open science · 2021Article
- Within Host Dynamics of SARS-CoV-2 in Humans: Modeling Immune Responses and Antiviral Treatments.SN computer science · 2021Article
- Initial Inoculum and the Severity of COVID-19: A Mathematical Modeling Study of the Dose-Response of SARS-CoV-2 Infections.Epidemiologia (Basel, Switzerland) · 2020Article
- Timelines of infection and transmission dynamics of H1N1pdm09 in swine.PLoS pathogens · 2020Article
- A theoretical framework for transitioning from patient-level to population-scale epidemiological dynamics: influenza A as a case study.Journal of the Royal Society, Interface · 2020Article
- Massive computational acceleration by using neural networks to emulate mechanism-based biological models.Nature communications · 2019Article
- Lung Aerosol Dynamics of Airborne Influenza A Virus-Laden Droplets and the Resultant Immune System Responses: An In Silico Study.Journal of aerosol science · 2019Article
- Within-host infectious disease models accommodating cellular coinfection, with an application to influenza.Virus evolution · 2019Article
- Monoclonal antibodies as anti-infective products: a promising future?Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2019Review
- Article
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
Influenza virus kinetics (VK) is used as a surrogate of infectiousness, while the natural history of influenza is described by symptom dynamics (SD). We used an original virus kinetics/symptom dynamics (VKSD) model to characterize human influenza virus infection and illness, based on a population approach. We combined structural equations and a statistical model to describe intra- and interindividual variability. The structural equations described influenza based on the target epithelial cells, the virus, the innate host response, and systemic symptoms. The model was fitted to individual VK and SD data obtained from 44 volunteers experimentally challenged with influenza A/H1N1 virus. Infection and illness parameters were calculated from best-fitted model estimates. We predicted that the cytokine level and NK cell activity would peak at days 2.2 and 4.2 after inoculation, respectively. Infectiousness, measured as the area under the VK curve above a viral titer threshold, lasted between 7.0 and 1.3 days and was 15 times lower in participants without systemic symptoms than in those with systemic symptoms (P < 0.001). The latent period, defined as the time between inoculation and infectiousness, varied from 0.7 to 1.9 days. The incubation period, defined as the time from inoculation to first symptoms, varied from 1.0 to 2.4 days. Our approach extends previous work by including the innate response and providing realistic estimates of infection and illness parameters, taking into account the strong interindividual variability. This approach could help to optimize studies of influenza VK and SD and to predict the effect of antivirals on infectiousness and symptoms.
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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.