ArticleFrontiers in applied mathematics and statistics2017
A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics.
Article in Frontiers in applied mathematics and statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Advances in Parameter Estimation and Learning from Data for Mathematical Models of Hepatitis C Viral Kinetics.Mathematics (Basel, Switzerland) · 2022Article
- Efficient Methods for Parameter Estimation of Ordinary and Partial Differential Equation Models of Viral Hepatitis Kinetics.Mathematics (Basel, Switzerland) · 2020Article
- HCVMultiscaleFit: A Simulator For Parameter Estimation in Multiscale Models Of Hepatitis C Virus Dynamics.AIP conference proceedings · 2020Article
- A Parameter Estimation Method for Multiscale Models of Hepatitis C Virus Dynamics.Bulletin of mathematical biology · 2019Article
- Numerical schemes for solving and optimizing multiscale models with age of hepatitis C virus dynamics.Mathematical biosciences · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The multiscale model of hepatitis C virus (HCV) dynamics, which includes intracellular viral RNA (vRNA) replication, has been formulated in recent years in order to provide a new conceptual framework for understanding the mechanism of action of a variety of agents for the treatment of HCV. We present a robust and efficient numerical method that belongs to the family of adaptive stepsize methods and is implicit, a Rosenbrock type method that is highly suited to solve this problem. We provide a Graphical User Interface that applies this method and is useful for simulating viral dynamics during treatment with anti-HCV agents that act against HCV on the molecular level.
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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.