A Parameter Estimation Method for Multiscale Models of Hepatitis C Virus Dynamics.

ABSTRACT: Mathematical models that are based on differential equations require detailed knowledge about the parameters that are included in the equations. Some of the parameters can be measured experimentally while others need to be estimated. When the models become more sophisticated, such as in the case of multiscale models of hepatitis C virus dynamics that deal with partial differential equations (PDEs), several strategies can be tried. It is possible to use parameter estimation on an analytical approximation of the solution to the multiscale model equations, namely the long-term approximation, but this limits the scope of the parameter estimation method used and a long-term approximation needs to be derived for each model. It is possible to transform the PDE multiscale model to a system of ODEs

SUBMITTER: Reinharz V 

PROVIDER: S-EPMC7375976 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature