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A social network analysis of the spread of COVID-19 in South Korea and policy implications

This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3283 confirmed patients in Seoul metropolitan areas from January 20, 2020 to July 19, 2020, this study created an infection network and analyze...

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Autores principales: Jo, Wonkwang, Chang, Dukjin, You, Myoungsoon, Ghim, Ghi-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060276/
https://www.ncbi.nlm.nih.gov/pubmed/33883601
http://dx.doi.org/10.1038/s41598-021-87837-0
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author Jo, Wonkwang
Chang, Dukjin
You, Myoungsoon
Ghim, Ghi-Hoon
author_facet Jo, Wonkwang
Chang, Dukjin
You, Myoungsoon
Ghim, Ghi-Hoon
author_sort Jo, Wonkwang
collection PubMed
description This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3283 confirmed patients in Seoul metropolitan areas from January 20, 2020 to July 19, 2020, this study created an infection network and analyzed its structural characteristics. The main results are as follows: (i) out-degrees follow an extremely positively skewed distribution; (ii) removing the top nodes on the out-degree significantly decreases the size of the infection network, and (iii) the indicators that express the infectious power of the network change according to governmental measures. Efforts to collect network data and analyze network structures are urgently required for the efficiency of governmental responses to COVID-19. Implications for better use of a metric such as R0 to estimate infection spread are also discussed.
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spelling pubmed-80602762021-04-22 A social network analysis of the spread of COVID-19 in South Korea and policy implications Jo, Wonkwang Chang, Dukjin You, Myoungsoon Ghim, Ghi-Hoon Sci Rep Article This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3283 confirmed patients in Seoul metropolitan areas from January 20, 2020 to July 19, 2020, this study created an infection network and analyzed its structural characteristics. The main results are as follows: (i) out-degrees follow an extremely positively skewed distribution; (ii) removing the top nodes on the out-degree significantly decreases the size of the infection network, and (iii) the indicators that express the infectious power of the network change according to governmental measures. Efforts to collect network data and analyze network structures are urgently required for the efficiency of governmental responses to COVID-19. Implications for better use of a metric such as R0 to estimate infection spread are also discussed. Nature Publishing Group UK 2021-04-21 /pmc/articles/PMC8060276/ /pubmed/33883601 http://dx.doi.org/10.1038/s41598-021-87837-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jo, Wonkwang
Chang, Dukjin
You, Myoungsoon
Ghim, Ghi-Hoon
A social network analysis of the spread of COVID-19 in South Korea and policy implications
title A social network analysis of the spread of COVID-19 in South Korea and policy implications
title_full A social network analysis of the spread of COVID-19 in South Korea and policy implications
title_fullStr A social network analysis of the spread of COVID-19 in South Korea and policy implications
title_full_unstemmed A social network analysis of the spread of COVID-19 in South Korea and policy implications
title_short A social network analysis of the spread of COVID-19 in South Korea and policy implications
title_sort social network analysis of the spread of covid-19 in south korea and policy implications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060276/
https://www.ncbi.nlm.nih.gov/pubmed/33883601
http://dx.doi.org/10.1038/s41598-021-87837-0
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