Real-
time reverse transcription-
polymerase chain reaction (RT-PCR) on upper
respiratory tract (URT) samples is the primary
method to
diagnose SARS-CoV-2 infections and guide
public health measures, with a supportive
role for
serology. However, the clinical
sensitivity of RT-PCR remains uncertain. In the present study, Bayesian statistical modeling was used to retrospectively determine the
sensitivity of RT-PCR using
SARS-CoV-2 serology in 644 COVID-19-suspected
patients with varying degrees of
disease severity and duration. The
sensitivity of RTPCR ranged between 79-95%; while increasing with
disease severity, it decreased rapidly over
time in mild COVID-19 cases. Negative URT RT-PCR results should therefore be interpreted in the context of clinical characteristics, especially with regard to containment of viral
transmission based on the test, trace and isolate principle.