About: The pandemic characteristics of 2019-nCoV: case-control study for severity and geographic locations for 2019-nCoV epidemics worldwide

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The pandemic characteristics of 2019-nCoV: case-control study for severity and geographic locations for 2019-nCoV epidemics worldwide
Creator	Bianco, Pietro Ronchetti, Roberto
Source	Medline; PMC
abstract	Using available official data we found 248 epidemics curves caused worldwide by the 2019-nCoV in the period December 2019–March 31st 2020. The analysis of this material allowed two main observations: 1) it is possible to describe the main geographical pathway of the diffusion of the virus in different directions. This strongly suggests a unique point of origin of the pandemics in Wuhan, China, from where it spread in many different directions. 2) of the 74 epidemics which were characterized by at least 1000 cases, 65 (90%) were located in the geographic region of the world delimitated by 52–30 degrees latitude North. Viceversa 110 (60%) of the 176 epidemics with less than 1000 cases were located outside the cited geographical world region. These results suggest considerations on the pandemic characteristics of 2019-nCoV.
has issue date	2020-07-08(xsd:dateTime)
bibo:doi	10.1186/s13052-020-00856-x
bibo:pmid	32641092
has license	cc-by
sha1sum (hex)	3a4524c0a9083663b33b4db7a5813e1a46829c0d
schema:url	https://doi.org/10.1186/s13052-020-00856-x
resource representing a document's title	The pandemic characteristics of 2019-nCoV: case-control study for severity and geographic locations for 2019-nCoV epidemics worldwide
has PubMed Central identifier	PMC7341479
has PubMed identifier	32641092
schema:publication	Ital J Pediatr
resource representing a document's body	covid:3a4524c0a9083663b33b4db7a5813e1a46829c0d#body_text
is schema:about of	named entity '2019-nCoV' named entity 'origin' named entity '2019-nCoV' named entity 'China' named entity 'This' named entity '1000' named entity 'PERIOD' named entity 'SUGGEST' named entity 'WUHAN' named entity 'POINT' named entity 'PANDEMICS' named entity 'ANALYSIS' named entity 'POSSIBLE' named entity 'PANDEMIC' named entity 'PATHWAY' named entity 'WORLDWIDE' named entity 'GEOGRAPHIC REGION' named entity 'cited' named entity 'epidemics' named entity 'December' named entity 'cases' named entity 'virus' named entity 'epidemics' named entity 'pandemics' named entity 'Wuhan' named entity 'epidemics' named entity 'official' named entity 'Paris' named entity 'epidemic' named entity 'Wuhan' named entity 'diffusion line' named entity 'mortality rate' named entity 'epidemic' named entity 'International Agencies' named entity 'Australia' named entity 'temperate' named entity 'New York' named entity 'South America' named entity '2019-nCoV' named entity 'Germany' named entity 'Japan' named entity 'human beings' named entity 'diffusion line' named entity 'infective agent' named entity 'China' named entity 'epidemic' named entity '2019-nCoV' named entity 'epidemic' named entity 'mortality rate' named entity 'epidemic' named entity 'widespread infections' named entity '2019-nCoV' named entity 'epidemic' named entity 'Ireland' named entity 'Wuhan' named entity 'China' named entity 'Wuhan' named entity '2019-nCoV' named entity 'epidemic' named entity 'Poland' named entity 'South Korea' named entity '2019-nCoV' named entity 'Paris' named entity 'human lives' named entity 'epidemic' named entity 'Milan' named entity 'epidemic' named entity 'air pollution' named entity 'epidemic' named entity 'Wuhan' named entity 'South Korea' named entity 'epidemic' named entity 'Wuhan' named entity 'Wuhan' named entity 'Madrid' named entity 'epidemic' named entity 'Queensland' named entity 'infection' named entity '2019-nCoV' named entity 'epidemic'

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