Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Proportion of Pre-Symptomatic Transmission Events Associated with COVID-19 in South Koreaopen access

Authors
Song, YoungjiShim, Eunha
Issue Date
Jul-2022
Publisher
MDPI
Keywords
COVID-19; Korea; pre-symptomatic; serial interval; incubation period; SARS-CoV-2; statistical; mathematical; expanded testing; Delta variant
Citation
JOURNAL OF CLINICAL MEDICINE, v.11, no.14
Journal Title
JOURNAL OF CLINICAL MEDICINE
Volume
11
Number
14
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42576
DOI
10.3390/jcm11143925
ISSN
2077-0383
Abstract
Pre-symptomatic transmission potentially reduces the effectiveness of symptom-onset-based containment and control strategies for the coronavirus disease (COVID-19). Despite evidence from multiple settings, the proportion of pre-symptomatic transmission varies among countries. To estimate the extent of pre-symptomatic transmission in South Korea, we used individual-level COVID-19 case records from the Korea Disease Control and Prevention Agency and Central Disease Control Headquarters. We inferred the probability of symptom onset per day since infection based on the density distribution of the incubation period to stratify the serial interval distribution in Period 1 (20 January-10 February 2020) and Period 2 (25 July-4 December 2021), without and with expanded testing or implementation of social distancing strategies, respectively. Assuming both no correlation as well as positive and negative correlations between the incubation period and the serial interval, we estimated the proportion of pre-symptomatic transmission in South Korea as 43.5% (accounting for correlation, range: 9.9-45.4%) and 60.0% (56.2-64.1%) without and with expanded testing, respectively, during the Delta variant's predominance. This study highlights the importance of considering pre-symptomatic transmission for COVID-19 containment and mitigation strategies because pre-symptomatic transmission may play a key role in the epidemiology of COVID-19.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shim, Eun ha photo

Shim, Eun ha
College of Natural Sciences (Department of Mathematics)
Read more

Altmetrics

Total Views & Downloads

BROWSE