About: Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog 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	Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog
Creator	Song, Nan Xia, Xinyu Yin, Fulian Zhu, Lingyao Wu Id, Jianhong
Source	Medline; PMC
abstract	BACKGROUD: Effective communication of accurate information through social media constitutes an important component of public health interventions in modern time, when traditional public health approaches such as contact tracing, quarantine and isolation are among the few options for the containing the disease spread in the population. The success of control of COVID-19 outbreak started from Wuhan, the capital city of Hubei Province of China relies heavily on the resilience of residents to follow public health interventions which induce substantial interruption of social-economic activities, and evidence shows that opinion leaders have been playing significant roles in the propagation of epidemic information and public health policy and implementations. METHODS: We design a mathematical model to quantify the roles of information superspreaders in single specific information which outbreaks rapidly and usually has a short duration period, and to examine the information propagation dynamics in the Chinese Sina-microblog. Our opinion-leader susceptible-forwarding-immune (OL-SFI) model is formulated to track the temporal evolution of forwarding quantities generated by opinion leaders and normal users. RESULTS: Data fitting from the real data of COVID-19 obtained from Chinese Sina-microblog can identify the different contact rates and forwarding probabilities (and hence calculate the basic information forwarding reproduction number of superspreaders), and can be used to evaluate the roles of opinion leaders in different stages of the information propagation and the outbreak unfolding. CONCLUSIONS: The parameterized model can be used to nearcast the information propagation trend, and the model-based sensitivity analysis can help to explore important factors for the roles of opinion leaders.
has issue date	2020-06-08(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0234023
bibo:pmid	32511260
has license	cc-by
sha1sum (hex)	d96113a2d8691d3b1aee5fd1b5d30241f2b2a633
schema:url	https://doi.org/10.1371/journal.pone.0234023
resource representing a document's title	Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog
has PubMed Central identifier	PMC7279582
has PubMed identifier	32511260
schema:publication	PLoS One
resource representing a document's body	covid:d96113a2d8691d3b1aee5fd1b5d30241f2b2a633#body_text
is schema:about of	named entity 'APPROACHES' named entity 'POPULATION' named entity 'ACTIVITIES' named entity 'public health interventions' named entity 'China' named entity 'public health policy' named entity 'Wuhan' named entity 'public health interventions' named entity 'COVID-19' named entity 'super-spreaders' named entity 'probability' named entity 'public health emergency' named entity 'microblog' named entity 'opinion leader' named entity 'opinion leader' named entity 'COVID' named entity 'COVID' named entity 'human-to-human' named entity 'microblog' named entity 'epidemic' named entity 'probability' named entity 'public health emergencies' named entity 'data fitting' named entity 'social media' named entity 'Weibo' named entity 'epidemiological models' named entity 'social media' named entity 'superspreaders' named entity 'epidemic' named entity 'opinion leader' named entity 'SIR model' named entity 'epidemics' named entity 'opinion leader' named entity 'pandemic outbreaks' named entity 'superspreaders' named entity 'probability' named entity 'Parameter estimation' named entity 'superspreaders' named entity 'super-spreading' named entity 'public health interventions' named entity 'COVID' named entity 'superspreaders' named entity 'API' named entity 'group of people' named entity 'scientificity' named entity 'superspreaders' named entity 'scatter diagram' named entity 'COVID' named entity 'probability' named entity 'correlation' named entity 'social network' named entity 'public health policy' named entity 'Weibo' named entity 'quarantine' named entity 'COVID' named entity 'numerical simulations' named entity 'PRCC' named entity 'opinion leader' named entity 'public health' named entity 'data collection' named entity 'rank correlation' named entity 'opinion leader' named entity 'error function' named entity 'public health' named entity 'January 20' named entity 'opinion leader' named entity 'microblog' named entity 'opinion leader' named entity 'superspreaders' named entity 'probability' named entity 'mathematical model' named entity 'superspreaders' named entity 'China' named entity 'blue line' named entity 'data set' named entity 'superspreaders' named entity 'public health'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software