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Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea

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...

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Autores principales: Kim, Hae-Young, Oh, In-Hwan, Lee, Jacob, Seon, Jeong-Yeon, Jeon, Woo-Hwi, Park, Jae Seok, Nam, Sung-Il, Thakkar, Niket, Selvaraj, Prashanth, McGillen, Jessica, Klein, Daniel, Braithwaite, Scott, Bershteyn, Anna, Lee, Seung Heon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544960/
https://www.ncbi.nlm.nih.gov/pubmed/34429188
http://dx.doi.org/10.3201/eid2711.203779
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author Kim, Hae-Young
Oh, In-Hwan
Lee, Jacob
Seon, Jeong-Yeon
Jeon, Woo-Hwi
Park, Jae Seok
Nam, Sung-Il
Thakkar, Niket
Selvaraj, Prashanth
McGillen, Jessica
Klein, Daniel
Braithwaite, Scott
Bershteyn, Anna
Lee, Seung Heon
author_facet Kim, Hae-Young
Oh, In-Hwan
Lee, Jacob
Seon, Jeong-Yeon
Jeon, Woo-Hwi
Park, Jae Seok
Nam, Sung-Il
Thakkar, Niket
Selvaraj, Prashanth
McGillen, Jessica
Klein, Daniel
Braithwaite, Scott
Bershteyn, Anna
Lee, Seung Heon
author_sort Kim, Hae-Young
collection PubMed
description 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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spelling pubmed-85449602021-11-06 Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea Kim, Hae-Young Oh, In-Hwan Lee, Jacob Seon, Jeong-Yeon Jeon, Woo-Hwi Park, Jae Seok Nam, Sung-Il Thakkar, Niket Selvaraj, Prashanth McGillen, Jessica Klein, Daniel Braithwaite, Scott Bershteyn, Anna Lee, Seung Heon Emerg Infect Dis Synopsis 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. Centers for Disease Control and Prevention 2021-11 /pmc/articles/PMC8544960/ /pubmed/34429188 http://dx.doi.org/10.3201/eid2711.203779 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Synopsis
Kim, Hae-Young
Oh, In-Hwan
Lee, Jacob
Seon, Jeong-Yeon
Jeon, Woo-Hwi
Park, Jae Seok
Nam, Sung-Il
Thakkar, Niket
Selvaraj, Prashanth
McGillen, Jessica
Klein, Daniel
Braithwaite, Scott
Bershteyn, Anna
Lee, Seung Heon
Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title_full Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title_fullStr Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title_full_unstemmed Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title_short Policy Review and Modeling Analysis of Mitigation Measures for Coronavirus Disease Epidemic Control, Health System, and Disease Burden, South Korea
title_sort policy review and modeling analysis of mitigation measures for coronavirus disease epidemic control, health system, and disease burden, south korea
topic Synopsis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544960/
https://www.ncbi.nlm.nih.gov/pubmed/34429188
http://dx.doi.org/10.3201/eid2711.203779
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