TY - JOUR
T1 - Advances in Parameter Estimation for Mathematical Models of Hepatitis C Viral Kinetics
AU - Reinharz, Vladimir
AU - Churkin, Alexander
AU - Dahari, Harel
AU - Barash, Danny
N1 - Publisher Copyright:
© 2023 American Institute of Physics Inc.. All rights reserved.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Mathematical models, some of which incorporate both intracellular and extracellular hepatitis C viral dynamics, have been advanced in recent years to study HCV-host kinetics and antivirals mode of action and efficacy. The standard hepatitis C virus (HCV) dynamic model keeps track of uninfected hepatocytes, infected hepatocytes, and free virus in blood. In multiscale models, a fourth equation accounts for the intracellular viral RNA (vRNA) kinetics in an infected cell. A multiscale model with vRNA kinetics consideration is substantially more difficult to solve, with the governing differential equations that are stiff. In previous contributions, we developed and implemented stable and efficient numerical methods for both the solution of the model equations and parameter estimation. In this contribution, we perform sensitivity analysis on model parameters to gain insight on important properties of these models and to ensure our numerical methods can be safely used for HCV viral dynamic simulations.
AB - Mathematical models, some of which incorporate both intracellular and extracellular hepatitis C viral dynamics, have been advanced in recent years to study HCV-host kinetics and antivirals mode of action and efficacy. The standard hepatitis C virus (HCV) dynamic model keeps track of uninfected hepatocytes, infected hepatocytes, and free virus in blood. In multiscale models, a fourth equation accounts for the intracellular viral RNA (vRNA) kinetics in an infected cell. A multiscale model with vRNA kinetics consideration is substantially more difficult to solve, with the governing differential equations that are stiff. In previous contributions, we developed and implemented stable and efficient numerical methods for both the solution of the model equations and parameter estimation. In this contribution, we perform sensitivity analysis on model parameters to gain insight on important properties of these models and to ensure our numerical methods can be safely used for HCV viral dynamic simulations.
UR - http://www.scopus.com/inward/record.url?scp=85176774075&partnerID=8YFLogxK
U2 - 10.1063/5.0164682
DO - 10.1063/5.0164682
M3 - Conference article
AN - SCOPUS:85176774075
SN - 0094-243X
VL - 2849
JO - AIP CONFERENCE PROCEEDINGS
JF - AIP CONFERENCE PROCEEDINGS
IS - 1
M1 - 270001
T2 - International Conference on Numerical Analysis and Applied Mathematics 2021, ICNAAM 2021
Y2 - 20 September 2021 through 26 September 2021
ER -