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

  • Ah Young Lim
  • , Hae Kwan Cheong
  • , Yoon Ju Oh
  • , Jae Kap Lee
  • , Jae Bum So
  • , Hyun Jin Kim
  • , Boram Han
  • , Sung Won Park
  • , Yongsun Jang
  • , Chang Yong Yoon
  • , Yun Ok Park
  • , Jong Hun Kim
  • , Jin Yong Kim

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)428-434
Number of pages7
JournalInternational Journal of Infectious Diseases
Volume108
DOIs
StatePublished - Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Natural history
  • RT-PCR
  • SARS-CoV-2
  • Viral load
  • Viral shedding

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