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Viral dynamics in asymptomatic patients with COVID-19

Open access
Zhou, Rui, Li, Furong, Chen, Fengjuan, Liu, Huamin, Zheng, Jiazhen, Lei, Chunliang, Wu, Xianbo·2020·International Journal of Infectious Diseases

Abstract

Data are limited on the viral load, viral shedding patterns, and potential infectivity of asymptomatic patients (APs) with coronavirus disease 2019 (COVID-19). This study included 31 adult patients who were virologically confirmed to have COVID-19 but were asymptomatic on admission. Among these 31 patients, 22 presented symptoms after admission and were defined as asymptomatic patients in the incubation period (APIs); the other nine patients remained asymptomatic during hospitalization and were defined as asymptomatic patients (APs). The median cycle threshold (Ct) value of APs (39.0, interquartile range (IQR) 37.5-39.5) was significantly higher than that of APIs (34.5, IQR 32.2-37.0), indicating a lower viral load in APs. However, the duration of viral shedding remained similar in the two groups (7 days, IQR 5-14 days vs. 8 days, IQR 5-16 days). The study findings demonstrated that although APs with COVID-19 have a lower viral load, they still have certain period of viral shedding, which suggests the possibility of transmission during their asymptomatic period. Further longitudinal surveillance of these asymptomatic cases via virus nucleic acid testing are warranted.

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Metadata

Authors
Zhou, R., Li, F., Chen, F., Liu, H., Zheng, J., Lei, C., & Wu, X.
Venue
International Journal of Infectious Diseases
Publisher
Elsevier BV
Published
2020-07
Volume
96
Pages
288-290
ISSN
1201-9712 (ISSN-L)
OpenAlex
W3024093150
Cited by
229
References
0
FWCI
6.55
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Viral dynamics in asymptomatic patients with COVID-19. https://app.cochat.ai/papers/10.1016/j.ijid.2020.05.030
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Zhou, R., Li, F., Chen, F., Liu, H., Zheng, J., Lei, C., & Wu, X. (2020). Viral dynamics in asymptomatic patients with COVID-19. International Journal of Infectious Diseases. https://doi.org/10.1016/j.ijid.2020.05.030

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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