ArticleComputational and mathematical methods in medicine2015
Assessing Uncertainty in A2 Respiratory Syncytial Virus Viral Dynamics.
Article in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Utilizing Virtual Clinical Trials to Inform Target Coverage That Drives RSV Antiviral Efficacy.CPT: pharmacometrics & systems pharmacology · 2026Article
- Analyzing Differences in Viral Dynamics Between Vaccinated and Unvaccinated RSV Patients.Epidemiologia (Basel, Switzerland) · 2025Article
- Estimation of virus-mediated cell fusion rate of SARS-CoV-2.Virology · 2022Article
- Analysis of Delayed Vaccination Regimens: A Mathematical Modeling Approach.Epidemiologia (Basel, Switzerland) · 2021Article
- Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach.Epidemiologia (Basel, Switzerland) · 2021Article
- Energy Requirements for Loss of Viral Infectivity.Food and environmental virology · 2020Article
- Mathematical modelling identifies the role of adaptive immunity as a key controller of respiratory syncytial virus in cotton rats.Journal of the Royal Society, Interface · 2019Article
- The rate of viral transfer between upper and lower respiratory tracts determines RSV illness duration.Journal of mathematical biology · 2019Article
- Effect of stochasticity on coinfection dynamics of respiratory viruses.BMC bioinformatics · 2019Article
- Superinfection and cell regeneration can lead to chronic viral coinfections.Journal of theoretical biology · 2019Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory syncytial virus (RSV) is the most common cause of bronchiolitis and pneumonia in children younger than 1 year of age in the United States. Moreover, RSV is being recognized more often as a significant cause of respiratory illness in older adults. Although RSV has been studied both clinically and in vitro, a quantitative understanding of the infection dynamics is still lacking. In this paper, we study the effect of uncertainty in the main parameters of a viral kinetics model of RSV. We first characterize the RSV replication cycle and extract parameter values by fitting the mathematical model to in vivo data from eight human subjects. We then use Monte Carlo numerical simulations to determine how uncertainty in the parameter values will affect model predictions. We find that uncertainty in the infection rate, eclipse phase duration, and infectious lifespan most affect the predicted dynamics of RSV. This study provides the first estimate of in vivo RSV infection parameters, helping to quantify RSV dynamics. Our assessment of the effect of uncertainty will help guide future experimental design to obtain more precise parameter values.
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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.