About: Topological dynamics of the 2015 South Korea MERS-CoV spread-on-contact networks

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About: Topological dynamics of the 2015 South Korea MERS-CoV spread-on-contact networks Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Topological dynamics of the 2015 South Korea MERS-CoV spread-on-contact networks
Creator	Jung, Hyejin Yang, Chang
Source	Medline; PMC
abstract	Network analysis to examine infectious contact relations provides an important means to uncover the topologies of individual infectious contact networks. This study aims to investigate the spread of diseases among individuals over contact networks by exploring the 2015 Middle East Respiratory Syndrome (MERS) outbreak in Korea. We present several distinct features of MERS transmission by employing a comprehensive approach in network research to examine both the traced relationship matrix of infected individuals and their bipartite transmission routes among healthcare facilities visited for treatment. The results indicate that a few super-spreaders were more likely to hold certain structural advantages by linking to an exceptional number of other individuals, causing several ongoing transmission events in neighbourhoods without the aid of any intermediary. Thus, the infectious contact network exhibited small-world dynamics characterised by locally clustered contacts exposed to transmission paths via short path lengths. In addition, nosocomial infection analysis shows the pattern of a common-source outbreak followed by secondary person-to-person transmission of the disease. Based on the results, we suggest policy implications related to the redesign of prevention and control strategies against the spread of epidemics.
has issue date	2020-03-09(xsd:dateTime)
bibo:doi	10.1038/s41598-020-61133-9
bibo:pmid	32152361
has license	cc-by
sha1sum (hex)	756c529a9f26bc2cedb17a402faad6babc3a2c6e
schema:url	https://doi.org/10.1038/s41598-020-61133-9
resource representing a document's title	Topological dynamics of the 2015 South Korea MERS-CoV spread-on-contact networks
has PubMed Central identifier	PMC7062829
has PubMed identifier	32152361
schema:publication	Sci Rep
resource representing a document's body	covid:756c529a9f26bc2cedb17a402faad6babc3a2c6e#body_text
is schema:about of	named entity 'CONTACT' named entity 'MERS-COV' named entity 'RELATIONS' named entity 'SPREAD' named entity 'RESPIRATORY' named entity '2015' named entity 'EXPLORING' named entity 'STUDY' named entity 'AIMS' named entity 'NETWORK ANALYSIS' named entity 'SOUTH KOREA' named entity 'NETWORKS' named entity '2015' named entity 'DYNAMICS' named entity 'NETWORKS' named entity 'DISEASES' named entity 'INFECTIOUS' named entity 'MEANS' named entity 'INDIVIDUAL' named entity 'SPREAD' named entity 'CONTACT' named entity 'MIDDLE EAST' named entity 'TO INVESTIGATE' named entity 'IMPORTANT' named entity 'TO EXAMINE' named entity 'PROVIDES' covid:arg/756c529a9f26bc2cedb17a402faad6babc3a2c6e named entity 'contact' named entity 'contact' named entity 'spread of diseases' named entity 'Topological dynamics' named entity 'nature.com' named entity 'Korea' named entity 'quarantine' named entity 'infection' named entity 'small-world' named entity 'nosocomial infections' named entity 'virus' named entity 'SKC' named entity 'infection' named entity 'MERS' named entity 'Korea' named entity 'super-spreaders' named entity 'infectious disease' named entity 'transmissibility' named entity 'ego networks' named entity 'infectious diseases' named entity 'China' named entity 'confounding factors' named entity 'small-world network' named entity 'MERS' named entity 'epidemic' named entity 'MERS' named entity 'infection' named entity 'DKH' named entity 'nature.com' named entity 'MERS' named entity 'infection' named entity 'in-degree' named entity 'average path length' named entity 'MERS' named entity 'May 21' named entity 'MERS' named entity 'in-degree' named entity 'nature.com' named entity 'MERS' named entity 'network centrality' named entity 'physiological' named entity 'betweenness' named entity 'in-degree' named entity 'infection' named entity 'epidemic' named entity 'hospital-acquired infection' named entity 'core-periphery' named entity 'epidemic' named entity 'risk factors' named entity 'core-periphery model' named entity 'scale-free' named entity 'Middle East Respiratory Syndrome' named entity 'disease control'

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