Ontology highlight
ABSTRACT: Background
Previous studies have highlighted the importance of viral shedding using cycle threshold (Ct) values obtained via reverse transcription polymerase chain reaction to understand the epidemic trajectories of SARS-CoV-2 infections. However, it is rare to elucidate the transition kinetics of Ct values from the asymptomatic or presymptomatic phase to the symptomatic phase before recovery using individual repeated Ct values.Objective
This study proposes a novel Ct-enshrined compartment model to provide a series of quantitative measures for delineating the full trajectories of the dynamics of viral load from infection until recovery.Methods
This Ct-enshrined compartment model was constructed by leveraging Ct-classified states within and between presymptomatic and
SUBMITTER: Lin TY
PROVIDER: S-EPMC11450350 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature