학술논문
SARS‐CoV‐2 viral dynamic modeling to inform model selection and timing and efficacy of antiviral therapy
Document Type
Report
Source
CPT: Pharmacometrics & Systems Pharmacology. October 2023, Vol. 12 Issue 10, p1450, 11 p.
Subject
Language
English
Abstract
Study Highlights WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC? Various mechanistic and empirical models have been suggested for severe acute respiratory syndrome‐coronavirus 2 viral load data but these have [...]
: Mathematical models of viral dynamics have been reported to describe adequately the dynamic changes of severe acute respiratory syndrome‐coronavirus 2 viral load within an individual host. In this study, eight published viral dynamic models were assessed, and model selection was performed. Viral load data were collected from a community surveillance study, including 2155 measurements from 162 patients (124 household and 38 non‐household contacts). An extended version of the target‐cell limited model that includes an eclipse phase and an immune response component that enhances viral clearance described best the data. In general, the parameter estimates showed good precision (relative standard error
: Mathematical models of viral dynamics have been reported to describe adequately the dynamic changes of severe acute respiratory syndrome‐coronavirus 2 viral load within an individual host. In this study, eight published viral dynamic models were assessed, and model selection was performed. Viral load data were collected from a community surveillance study, including 2155 measurements from 162 patients (124 household and 38 non‐household contacts). An extended version of the target‐cell limited model that includes an eclipse phase and an immune response component that enhances viral clearance described best the data. In general, the parameter estimates showed good precision (relative standard error