
Danny Barash
Senior Academic
A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics
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.
| Publication language | English |
| Journal | Frontiers in Applied Mathematics and Statistics |
| Volume | 3 |
| Publication status | Published - 31.10.2017 |
| 20 |
Keywords
age-structured model
hepatitis C virus
multiscale model
numerical solution
partial differential equations
RNA-mediated viral dynamics
Rosenbrock method
ASJC Scopus subject areas
Statistics and Probability
Applied Mathematics
Sustainable Development Goals
SDG 3 - Good Health and Well-being