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Policy review and modeling analysis of mitigation measures for coronavirus disease epidemic control, health system, and disease burden, south korea

  • Hae Young Kim
  • , In Hwan Oh
  • , Jacob Lee
  • , Jeong Yeon Seon
  • , Woo Hwi Jeon
  • , Jae Seok Park
  • , Sung Il Nam
  • , Niket Thakkar
  • , Prashanth Selvaraj
  • , Jessica McGillen
  • , Daniel Klein
  • , Scott Braithwaite
  • , Anna Bershteyn
  • , Seung Heon Lee

Research output: Contribution to journalReview articlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2753-2760
Number of pages8
JournalEmerging Infectious Diseases
Volume27
Issue number11
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 Centers for Disease Control and Prevention (CDC). All rights reserved.

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

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