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Modeling the early temporal dynamics of viral load in respiratory tract specimens of COVID-19 patients in Incheon, the Republic of Korea

Authors :
Jae Kap Lee
Chang Yong Yoon
Yongsun Jang
Hyun Jin Kim
Jin Yong Kim
Sung Won Park
Jong Hun Kim
Boram Han
Jae Bum So
Yoon Ju Oh
Yun Ok Park
Hae-Kwan Cheong
Ah-Young Lim
Source :
International Journal of Infectious Diseases, International Journal of Infectious Diseases, Vol 108, Iss, Pp 428-434 (2021)
Publication Year :
2021
Publisher :
Published by Elsevier Ltd on behalf of International Society for Infectious Diseases., 2021.

Abstract

OBJECTIVE: To investigate the duration and peak of severe acute respiratory syndrome coronavirus 2 shedding as infectivity markers for determining the isolation period. METHODS: A total of 2,558 upper respiratory tract (URT) and lower respiratory tract (LRT) specimens from 138 patients with laboratory-confirmed coronavirus disease were analyzed. Measurements of sequential viral loads were aggregated using the cubic spline smoothing function of a generalized additive model. The time to negative conversion was compared between symptom groups using survival analysis. RESULTS: In URT samples, viral RNA levels peaked on day 4 after symptom onset and rapidly decreased until day 10 for both E and RdRp genes, whereas those in LRT samples immediately peaked from symptom onset and decreased until days 15.6 and 15.0 for E and RdRp genes, respectively. Median (interquartile range) time to negative conversion was significantly longer in symptomatic (18.0 [13.0-25.0] days) patients than in asymptomatic (13.0 [9.5-17.5] days) patients. The more types of symptoms a patient had, the longer the time to negative conversion. CONCLUSIONS: The viral load rapidly changes depending on the time after symptom onset; the viral shedding period may be longer with more clinical symptoms. Different isolation policies should be applied depending on disease severity.

Details

Language :
English
ISSN :
18783511 and 12019712
Database :
OpenAIRE
Journal :
International Journal of Infectious Diseases
Accession number :
edsair.doi.dedup.....918669646799f0b03b327aa4a26e4c6d