Comparing antiviral strategies against COVID-19 via multiscale within-host modelling.
Ontology highlight
ABSTRACT: Within-host models of COVID-19 infection dynamics enable the merits of different forms of antiviral therapy to be assessed in individual patients. A stochastic agent-based model of COVID-19 intracellular dynamics is introduced here, that incorporates essential steps of the viral life cycle targeted by treatment options. Integration of model predictions with an intercellular ODE model of within-host infection dynamics, fitted to patient data, generates a generic profile of disease progression in patients that have recovered in the absence of treatment. This is contrasted with the profiles obtained after variation of model parameters pertinent to the immune response, such as effector cell and antibody proliferation rates, mimicking disease progression in immunocompromised patients. These pro
SUBMITTER: Fatehi F
PROVIDER: S-EPMC8355669 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA