Bibliographic Details
| Title: |
Prediction of Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Quantitative Digital Polymerase Chain Reaction Normalized to International Units. |
| Authors: |
Hijano, Diego R, Gu, Zhengming, Brazelton, Jessica, Zhu, Haiqing, Suganda, Sri, Glasgow, Heather L, Darji, Himani, Tang, Li, Fabrizio, Thomas P, Allison, Kim J, Allen, E Kaitlynn, Team, SJTRC Study, Gaur, Aditya H, Wolf, Joshua, Thomas, Paul G, Webby, Richard J, Hayden, Randall T |
| Source: |
Open Forum Infectious Diseases; Oct2022, Vol. 9 Issue 10, p1-4, 4p |
| Subject Terms: |
COVID-19, SARS-CoV-2, CORONAVIRUS diseases, POLYMERASE chain reaction |
| Company/Entity: |
WORLD Health Organization |
| Abstract: |
Although numerous studies have evaluated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using cycle threshold (Ct) values as a surrogate of viral ribonucleic acid (RNA) load, few studies have used standardized, quantitative methods. We validated a quantitative SARS-CoV-2 digital polymerase chain reaction assay normalized to World Health Organization International Units and correlated viral RNA load with symptoms and disease severity. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
