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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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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. |
format | Online Article Text |
id | pubmed-8544960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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