About: Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China

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About: Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China 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	Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China
Creator	Wang, Li Wang, Jinfeng Cao, Chunxiang Xu, Chengdong
Source	Medline; PMC
abstract	BACKGROUND: Severe acute respiratory syndrome (SARS) spread to 32 countries and regions within a few months in 2003. There were 5327 SARS cases from November 2002 to May 2003 in Mainland China, which involved 29 provinces, resulted in 349 deaths, and directly caused economic losses of $18.3 billion. METHODS: This study used an in-out flow model and flow mapping to visualize and explore the spatial pattern of SARS transmission in different regions. In-out flow is measured by the in-out degree and clustering coefficient of SARS. Flow mapping is an exploratory method of spatial visualization for interaction data. RESULTS: The findings were as follows. (1) SARS in-out flow had a clear hierarchy. It formed two main centers, Guangdong in South China and Beijing in North China, and two secondary centers, Shanxi and Inner Mongolia, both connected to Beijing. (2) “Spring Festival travel” strengthened external flow, but “SARS panic effect” played a more significant role and pushed the external flow to the peak. (3) External flow and its three typical kinds showed obvious spatial heterogeneity, such as self-spreading flow (spatial displacement of SARS cases only within the province or municipality of onset and medical locations); hospitalized flow (spatial displacement of SARS cases that had been seen by a hospital doctor); and migrant flow (spatial displacement of SARS cases among migrant workers). (4) Internal and external flow tended to occur in younger groups, and occupational differentiation was particularly evident. Low-income groups of male migrants aged 19–35 years were the main routes of external flow. CONCLUSIONS: During 2002–2003, SARS in-out flow played an important role in countrywide transmission of the disease in Mainland China. The flow had obvious spatial heterogeneity, which was influenced by migrants’ behavior characteristics. In addition, the Chinese holiday effect led to irregular spread of SARS, but the panic effect was more apparent in the middle and late stages of the epidemic. These findings constitute valuable input to prevent and control future serious infectious diseases like SARS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-014-0721-y) contains supplementary material, which is available to authorized users.
has issue date	2014-12-31(xsd:dateTime)
bibo:doi	10.1186/s12879-014-0721-y
bibo:pmid	25551367
has license	cc-by
sha1sum (hex)	bbc0322ac1427ea61ca213645a219daf5bd9d5ac
schema:url	https://doi.org/10.1186/s12879-014-0721-y
resource representing a document's title	Spatial pattern of severe acute respiratory syndrome in-out flow in 2003 in Mainland China
has PubMed Central identifier	PMC4322810
has PubMed identifier	25551367
schema:publication	BMC Infect Dis
resource representing a document's body	covid:bbc0322ac1427ea61ca213645a219daf5bd9d5ac#body_text
is schema:about of	named entity 'SPATIAL PATTERN' named entity '2003' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME' named entity 'REGIONS' named entity 'BACKGROUND' named entity 'SPREAD' covid:arg/bbc0322ac1427ea61ca213645a219daf5bd9d5ac named entity 'DEATHS' named entity 'ECONOMIC' named entity 'MAINLAND CHINA' named entity 'FLOW' named entity 'IN-OUT' named entity '2418' named entity 'CAUSED' named entity 'MONTHS' named entity 'DIRECTLY' named entity 'COUNTRIES' named entity 'SARS' named entity 'INVOLVED' named entity 'CASES' named entity 'NOVEMBER' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME' named entity 'MAINLAND CHINA' named entity 'Severe acute respiratory syndrome' named entity 'SARS' named entity 'Mainland China' named entity 'Mainland China' named entity 'severe acute respiratory syndrome' named entity 'Tianjin' named entity 'SARS outbreak' named entity 'SARS virus' named entity 'SARS' named entity 'Hebei' named entity 'SARS' named entity 'infectious disease outbreaks' named entity 'SARS epidemic' named entity 'SARS' named entity 'Beijing' named entity 'Henan' named entity 'Hebei' named entity 'Shanxi' named entity 'low-income' named entity 'Sichuan' named entity 'Beijing' named entity 'Spring Festival' named entity 'SARS' named entity 'Sichuan' named entity 'SARS' named entity 'Spring Festival' named entity 'SARS' named entity 'SARS' named entity 'clustering coefficient' named entity 'Inner Mongolia' named entity 'Zhejiang' named entity 'Fujian' named entity 'Mainland China' named entity 'Guangdong' named entity 'SARS epidemic' named entity 'SARS outbreak' named entity 'total degree' named entity 'SARS' named entity 'Hunan' named entity 'developed regions' named entity 'SARS' named entity 'SARS' named entity 'SARS' named entity 'floating population' named entity 'Hebei' named entity 'Shanxi' named entity 'SARS' named entity 'virus transmission' named entity 'Guangdong' named entity 'Shanxi' named entity 'Beijing' named entity 'Beijing' named entity 'Beijing' named entity 'SARS' named entity 'Qinghai'

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