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

Abstract 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 an...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Wonkwang Jo, Dukjin Chang, Myoungsoon You, Ghi-Hoon Ghim
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f3cc9426253e42d2bdbe60d8b31ebac8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f3cc9426253e42d2bdbe60d8b31ebac8
record_format	dspace
spelling	oai:doaj.org-article:f3cc9426253e42d2bdbe60d8b31ebac82021-12-02T18:27:48ZA social network analysis of the spread of COVID-19 in South Korea and policy implications10.1038/s41598-021-87837-02045-2322https://doaj.org/article/f3cc9426253e42d2bdbe60d8b31ebac82021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87837-0https://doaj.org/toc/2045-2322Abstract 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.Wonkwang JoDukjin ChangMyoungsoon YouGhi-Hoon GhimNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wonkwang Jo Dukjin Chang Myoungsoon You Ghi-Hoon Ghim A social network analysis of the spread of COVID-19 in South Korea and policy implications
description	Abstract 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.
format	article
author	Wonkwang Jo Dukjin Chang Myoungsoon You Ghi-Hoon Ghim
author_facet	Wonkwang Jo Dukjin Chang Myoungsoon You Ghi-Hoon Ghim
author_sort	Wonkwang Jo
title	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_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_sort	social network analysis of the spread of covid-19 in south korea and policy implications
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f3cc9426253e42d2bdbe60d8b31ebac8
work_keys_str_mv	AT wonkwangjo asocialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT dukjinchang asocialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT myoungsoonyou asocialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT ghihoonghim asocialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT wonkwangjo socialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT dukjinchang socialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT myoungsoonyou socialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications AT ghihoonghim socialnetworkanalysisofthespreadofcovid19insouthkoreaandpolicyimplications
_version_	1718378073381928960

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

Ejemplares similares