Background Recent studies indicate that the population-level SARS-CoV-2 cycle threshold
(Ct) values can inform the trajectory of the pandemic. The presented study investigates the …

Objectives: Advanced molecular diagnostic methods like real-time polymerase chain
reaction (PCR) play a vital role in the early recognition of viral infections, including the …

Aim Anticipating local surges in COVID-19 cases has predominantly been based on
observation of increasing cases. We sought to determine if temporal trends in SARS-CoV-2 …

Background The ability to proactively predict the epidemiological dynamics of infectious
diseases such as coronavirus disease 2019 (COVID-19) would facilitate efficient public …

Objectives: It is currently unclear whether SARS-CoV-2 Cycle threshold (Ct) values could be
leveraged to guide patients' clinical manifestations and management decisions. The present …

Cycle threshold (CT) values are correlated with the amount of viral nucleic acid in a sample
and may be obtained from some qualitative real-time polymerase chain reaction tests used …

Background The distribution of population-level real-time reverse transcription-polymerase
chain reaction (RT-PCR) cycle threshold (Ct) values as a proxy of viral load may be a useful …

The inability to predict the evolution of the COVID-19 epidemic hampered abilities to
respond to the crisis effectively. The cycle threshold (Ct) from the standard SARS-CoV-2 …

Background: The ability to predict likely prognosis and infectiousness for patients with
COVID-19 would aid patient management decisions. Diagnosis is usually via real-time PCR …

Tools to predict surges in cases and hospitalizations during the COVID-19 pandemic may
help guide public health decisions. Low cycle threshold (CT) counts may indicate greater …