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Cited 3 time in webofscience Cited 3 time in scopus
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Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea

Authors
Kim, Hae-YoungOh, In-HwanLee, JacobSeon, Jeong-PeonJeon, Woo-HwiPark, Jae SeokNam, Sung-IlThakkar, NiketSelvaraj, PrashanthMcGillen, JessicaKlein, DanielBraithwaite, ScottBershteyn, AnnaLee, Seung Heon
Issue Date
Nov-2021
Publisher
CENTERS DISEASE CONTROL & PREVENTION
Citation
Emerging Infectious Diseases, v.27, no.11, pp 2753 - 2760
Pages
8
Indexed
SCIE
SCOPUS
Journal Title
Emerging Infectious Diseases
Volume
27
Number
11
Start Page
2753
End Page
2760
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/54886
DOI
10.3021/eid2711.203779
ISSN
1080-6040
1080-6059
Abstract
We reviewed the timeline of key policies for control of the coronavirus disease epidemic and determined their impact on the epidemic and hospital burden in South Korea. Using a discrete stochastic transmission model, we estimated that multilevel policies, including extensive testing, contact tracing, and quarantine, reduced contact rates by 90% and rapidly decreased the epidemic in Daegu and nationwide during February-March 2020. Absence of these prompt responses could have resulted in a >10-fold increase in infections, hospitalizations, and deaths by May 15, 2020, relative to the status quo. The model suggests that reallocation of persons who have mild or asymptomatic cases to community treatment centers helped avoid overwhelming hospital capacity and enabled healthcare workers to provide care for more severely and critically ill patients in hospital beds and negative-pressure intensive care units. As small outbreaks continue to occur, contact tracing and maintenance of hospital capacity are needed.
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