Open AccessPredicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic Samples
Author(s) -
Jared Bullard,
Kerry Dust,
Duane J. Funk,
James E. Strong,
David C. Alexander,
Lauren Garnett,
Carl Boodman,
Alexander Bello,
Adam Hedley,
Zachary Schiffman,
Kaylie Doan,
Nathalie Bastien,
Yan Li,
Paul G Van Caeseele,
Guillaume Poliquin
Publication year - 2020
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciaa638
Subject(s) - infectivity , vero cell , virology , interquartile range , coronavirus , medicine , viral culture , viral load , odds ratio , confidence interval , biology , virus , covid-19 , infectious disease (medical specialty) , disease
Reverse-transcription polymerase chain reaction (RT-PCR) has become the primary method to diagnose viral diseases, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). RT-PCR detects RNA, not infectious virus; thus, its ability to determine duration of infectivity of patients is limited. Infectivity is a critical determinant in informing public health guidelines/interventions. Our goal was to determine the relationship between E gene SARS-CoV-2 RT-PCR cycle threshold (Ct) values from respiratory samples, symptom onset to test (STT), and infectivity in cell culture.
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