Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China

Abstract The spread of COVID-19 is closely related to the structure of human social networks. Based on 237 cases, by using epidemiological retrospective statistics, data visualization, and social network analysis methods, this paper summarized characteristics of patients with COVID-19 in Shaanxi, Ch...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Zhangbo Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/94cf8a964b934607b0a81df30d539cee
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:94cf8a964b934607b0a81df30d539cee
record_format	dspace
spelling	oai:doaj.org-article:94cf8a964b934607b0a81df30d539cee2021-12-02T13:33:45ZAnalysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China10.1038/s41598-021-84428-x2045-2322https://doaj.org/article/94cf8a964b934607b0a81df30d539cee2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84428-xhttps://doaj.org/toc/2045-2322Abstract The spread of COVID-19 is closely related to the structure of human social networks. Based on 237 cases, by using epidemiological retrospective statistics, data visualization, and social network analysis methods, this paper summarized characteristics of patients with COVID-19 in Shaanxi, China, and analyzed these patients’ dynamic contact network structure. The study found that there are many clustered infections through strong ties, about one-third of cases are caused by relatives' infection. In early stages of the epidemic, imported cases were the most, and in the later stages, local infection cases were the most. The infected people were mostly middle-aged men. Symptoms of imported cases occurred on average of 3 days after they arrived, and medical measures were taken 5 days later on average. All cases showed symptoms in less than 2 days on average and were then taken to medical treatment. The contact network can be divided into multiple disconnected components. The largest component has 12 patients. The average degree centrality in the network is 0.987, average betweenness degree is 0, average closeness degree is 0.452, and average PageRank index is 0.0042. The number of contacts of patients is unevenly distributed in the network.Zhangbo YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhangbo Yang Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
description	Abstract The spread of COVID-19 is closely related to the structure of human social networks. Based on 237 cases, by using epidemiological retrospective statistics, data visualization, and social network analysis methods, this paper summarized characteristics of patients with COVID-19 in Shaanxi, China, and analyzed these patients’ dynamic contact network structure. The study found that there are many clustered infections through strong ties, about one-third of cases are caused by relatives' infection. In early stages of the epidemic, imported cases were the most, and in the later stages, local infection cases were the most. The infected people were mostly middle-aged men. Symptoms of imported cases occurred on average of 3 days after they arrived, and medical measures were taken 5 days later on average. All cases showed symptoms in less than 2 days on average and were then taken to medical treatment. The contact network can be divided into multiple disconnected components. The largest component has 12 patients. The average degree centrality in the network is 0.987, average betweenness degree is 0, average closeness degree is 0.452, and average PageRank index is 0.0042. The number of contacts of patients is unevenly distributed in the network.
format	article
author	Zhangbo Yang
author_facet	Zhangbo Yang
author_sort	Zhangbo Yang
title	Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
title_short	Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
title_full	Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
title_fullStr	Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
title_full_unstemmed	Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China
title_sort	analysis of dynamic contact network of patients with covid-19 in shaanxi province of china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/94cf8a964b934607b0a81df30d539cee
work_keys_str_mv	AT zhangboyang analysisofdynamiccontactnetworkofpatientswithcovid19inshaanxiprovinceofchina
_version_	1718392868922458112

Analysis of dynamic contact network of patients with COVID-19 in Shaanxi Province of China

Ejemplares similares