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Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience
BACKGROUND: As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea’s response to COVID-19, which prevented an increase in confirmed cases and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630429/ https://www.ncbi.nlm.nih.gov/pubmed/34858073 http://dx.doi.org/10.2147/RMHP.S336425 |
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author | Chun, Hae-ryoung Yoon, Kyuhyun Kim, Hana Cheon, Eunsil Ha, Jaeyoung Tak, Sangwoo Cho, Sung-il |
author_facet | Chun, Hae-ryoung Yoon, Kyuhyun Kim, Hana Cheon, Eunsil Ha, Jaeyoung Tak, Sangwoo Cho, Sung-il |
author_sort | Chun, Hae-ryoung |
collection | PubMed |
description | BACKGROUND: As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea’s response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective. PURPOSE: To analyze Korea’s response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies. METHODS: By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model’s validity. RESULTS: South Korea’s COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities. CONCLUSION: The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases. |
format | Online Article Text |
id | pubmed-8630429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-86304292021-12-01 Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience Chun, Hae-ryoung Yoon, Kyuhyun Kim, Hana Cheon, Eunsil Ha, Jaeyoung Tak, Sangwoo Cho, Sung-il Risk Manag Healthc Policy Original Research BACKGROUND: As the global coronavirus disease-2019 (COVID-19) pandemic continues, many countries have implemented public health policies, such as lockdowns and physical distancing measures, to prevent its spread. South Korea’s response to COVID-19, which prevented an increase in confirmed cases and increased resilience, has been considered very effective. PURPOSE: To analyze Korea’s response to COVID-19 in 2020 and develop a logic model to evaluate performance effectiveness in follow-up studies. METHODS: By content analysis of Korea Disease Control and Prevention Agency (KDCA) press releases, we defined the problems and identified the causes of the health and social effects of the COVID-19 outbreak. Next, we created a problem tree and developed a logic model that comprised inputs, activities, outputs, outcomes, and impacts. Finally, we held expert consultations to obtain expert opinions regarding the logic model and to ensure the model’s validity. RESULTS: South Korea’s COVID-19 response policy mitigated the social and health impacts. The 2020 COVID-19 responses had four outcomes (identifying cases on time, preventing transmission of coronavirus infection, effective treatment of COVID-19 cases, protecting public resilience and well-being) and 12 outputs; South Korea conducted 32 activities. CONCLUSION: The results can be a practical reference for managing problems faced in other countries. Korean policy may be of interest in the future for international decision-makers in charge of policy enforcement and those who may be called on to respond to new infectious diseases. Dove 2021-11-25 /pmc/articles/PMC8630429/ /pubmed/34858073 http://dx.doi.org/10.2147/RMHP.S336425 Text en © 2021 Chun et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Chun, Hae-ryoung Yoon, Kyuhyun Kim, Hana Cheon, Eunsil Ha, Jaeyoung Tak, Sangwoo Cho, Sung-il Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title_full | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title_fullStr | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title_full_unstemmed | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title_short | Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience |
title_sort | generic logic model for coronavirus disease-2019 responses based on the south korean experience |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630429/ https://www.ncbi.nlm.nih.gov/pubmed/34858073 http://dx.doi.org/10.2147/RMHP.S336425 |
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