About: Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China

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

About: Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China Goto Sponge NotDistinct Permalink

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	Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
Creator	Strzelecki, Artur
Source	ArXiv
abstract	The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second - the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses.
has issue date	2020-01-29(xsd:dateTime)
bibo:doi	10.3991/ijoe.v16i04.13351
has license	arxiv
sha1sum (hex)	efe837a5cedbf5876a48dfb8df72924c5b9c8de1
schema:url	https://doi.org/10.3991/ijoe.v16i04.13351
resource representing a document's title	Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
resource representing a document's body	covid:efe837a5cedbf5876a48dfb8df72924c5b9c8de1#body_text
is schema:about of	named entity 'China' named entity 'Chinese' named entity 'MERS' named entity 'WUHAN' named entity 'HIGH' named entity 'CENTRAL CITY' named entity 'CURRENT' named entity 'REFERRED TO' named entity 'HOW' named entity 'INFORMATION' named entity 'SARS' named entity 'CHINESE' named entity 'This' named entity 'coronaviruses' named entity 'current' named entity 'caused' named entity 'epidemic' named entity 'coronaviruses' named entity 'China' named entity 'January 26th' named entity 'SARS' named entity 'China' named entity 'Google' named entity 'Google offers' named entity 'syphilis' named entity 'Google' named entity 'Google Shopping' named entity 'China' named entity 'people express' named entity 'Infodemiology' named entity 'mental health' named entity 'China' named entity 'Google' named entity 'Internet' named entity '2019-nCoV' named entity 'pneumonia' named entity 'conjunctivitis' named entity 'China' named entity 'sepsis' named entity 'public transportation' named entity 'SARS' named entity 'Beijing time' named entity 'SARS' named entity 'Sri Lanka' named entity 'China' named entity '2, 3' named entity '2019-nCoV' named entity 'China' named entity 'Viet Nam' named entity 'Malaysia' named entity 'Google' named entity 'epidemic' named entity 'Canada' named entity 'search engines' named entity 'search engines' named entity 'China' named entity 'SARS' named entity 'Nepal' named entity 'Hong Kong' named entity 'SARS' named entity 'Wuhan' named entity 'SARS' named entity 'SARS' named entity 'China' named entity 'Google Trends' named entity 'reversed engineered' named entity '2019-nCoV' named entity 'SARS outbreak' named entity 'infectious diseases' named entity 'epidemics' named entity 'Thailand' named entity 'Germany' named entity 'dengue fever' named entity 'influenza' named entity 'Singapore' named entity 'central city' named entity 'MERS' named entity 'viral pneumonia' named entity 'CHINA' named entity 'SARS' named entity 'SARS' named entity 'Wuhan' named entity 'China' named entity 'epidemic' named entity 'HIV'

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