About: Exploring the epidemic transmission network of SARS in-out flow in mainland China

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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	Exploring the epidemic transmission network of SARS in-out flow in mainland China
Creator	Sun, Jun Bisong, H Zhou Jieping, &
topic	covid:334df63353e00d65b2c41452d0385053683eda5b#this
Source	Medline; PMC
abstract	The changing spatiotemporal patterns of the individual susceptible-infected-symptomatic-treated-recovered epidemic process and the interactions of information/material flows between regions, along with the 2002–2003 Severe Acute Respiratory Syndrome (SARS) epidemiological investigation data in mainland China, including three typical locations of individuals (working unit/home address, onset location and reporting unit), are used to define the in-out flow of the SARS epidemic spread. Moreover, the input/output transmission networks of the SARS epidemic are built according to the definition of in-out flow. The spatiotemporal distribution of the SARS in-out flow, spatial distribution and temporal change of node characteristic parameters, and the structural characteristics of the SARS transmission networks are comprehensively and systematically explored. The results show that (1) Beijing and Guangdong had the highest risk of self-spread and output cases, and prevention/control measures directed toward self-spread cases in Beijing should have focused on the later period of the SARS epidemic; (2) the SARS transmission networks in mainland China had significant clustering characteristics, with two clustering areas of output cases centered in Beijing and Guangdong; (3) Guangdong was the original source of the SARS epidemic, and while the infected cases of most other provinces occurred mainly during the early period, there was no significant spread to the surrounding provinces; in contrast, although the input/output interactions between Beijing and the other provinces countrywide began during the mid-late epidemic period, SARS in Beijing showed a significant capacity for spatial spreading; (4) Guangdong had a significant range of spatial spreading throughout the entire epidemic period, while Beijing and its surrounding provinces formed a separate, significant range of high-risk spreading during the mid-late period; especially in late period, the influence range of Beijing’s neighboring provinces, such as Hebei, was even slightly larger than that of Beijing; and (5) the input network had a low-intensity spread capacity and middle-level influence range, while the output network had an extensive high-intensity spread capacity and influence range that covered almost the entire country, and this spread and influence indicated that significant clustering characteristics increased gradually. This analysis of the epidemic in-out flow and its corresponding transmission network helps reveal the potential spatiotemporal characteristics and evolvement mechanism of the SARS epidemic and provides more effective theoretical support for prevention and control measures.
has issue date	2012-11-08(xsd:dateTime)
bibo:doi	10.1007/s11434-012-5501-8
bibo:pmid	32214741
has license	cc-by
sha1sum (hex)	334df63353e00d65b2c41452d0385053683eda5b
schema:url	https://doi.org/10.1007/s11434-012-5501-8
resource representing a document's title	Exploring the epidemic transmission network of SARS in-out flow in mainland China
has PubMed Central identifier	PMC7089103
has PubMed identifier	32214741
schema:publication	Chin Sci Bull
resource representing a document's body	covid:334df63353e00d65b2c41452d0385053683eda5b#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/334df63353e00d65b2c41452d0385053683eda5b proxy:http/ns.inria.fr/covid19/334df63353e00d65b2c41452d0385053683eda5b
is schema:about of	named entity 'TRANSMISSION' named entity 'systematically' named entity 'cases' named entity 'range' named entity 'infected' named entity 'extensive' named entity 'clustering' named entity 'mainland China' named entity '2003' named entity 'support' named entity 'The' named entity 'epidemic' named entity 'location' named entity 'PARAMETERS' named entity 'TREATED' covid:arg/334df63353e00d65b2c41452d0385053683eda5b named entity 'NETWORK' named entity 'PARAMETER' named entity 'OUTPUT' named entity 'CITATION' named entity 'DATA' named entity 'SLIGHTLY' named entity 'NEIGHBORING' named entity 'COUNTRY' named entity 'COVERED' named entity 'EPIDEMIC' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME' named entity 'SUPPORT' named entity 'MIDDLE' named entity 'ADDRESS' named entity 'LARGER' named entity 'SYMPTOMATIC' named entity 'DEFINITION' named entity 'LATER' named entity 'IN-OUT' named entity 'PERIOD' named entity 'TRANSMISSION' named entity 'HIGHEST' named entity 'REGIONS' named entity 'FLOWS' named entity 'INCREASED' named entity 'HAVE' named entity 'RECOVERED' named entity 'MAINLAND CHINA' named entity 'LEVEL' named entity 'THEORETICAL' named entity 'PREVENTION' named entity 'ARTICLE' named entity 'CHARACTERISTIC' named entity 'BEIJING' named entity 'EPIDEMIC PERIOD' named entity 'SPATIAL' named entity 'REVEAL' named entity 'SUN' named entity 'FLOW' named entity 'SARS' named entity 'GEOGRAPHY' named entity 'MAINLAND CHINA' named entity 'SPREADING' named entity 'PREVENTION AND CONTROL' named entity 'RESULTS' named entity 'RANGE' named entity 'EPIDEMIOLOGICAL' named entity 'OCCURRED' named entity 'ACCORDING' named entity 'RISK OF' named entity 'CHANGING' named entity 'PROCESS' named entity 'ORIGINAL SOURCE' named entity 'ENTIRE' named entity 'LOCATION' named entity 'SARS' named entity 'LOCATIONS' named entity 'INTENSITY' named entity 'INFLUENCE' named entity 'INDIVIDUAL'

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