About: Misinformation of COVID-19 on the Internet: Infodemiology Study

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

About: Misinformation of COVID-19 on the Internet: Infodemiology Study 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	Misinformation of COVID-19 on the Internet: Infodemiology Study
Creator	Eysenbach, Gunther Sanchez, Travis Ferrara, Pietro Schaeffeler, Norbert Cuan-Baltazar, Jose Muñoz-Perez, Maria Pérez-Zepeda, Maria Robledo-Vega, Carolina Soto-Vega, Elena
Source	Medline; PMC
abstract	BACKGROUND: The internet has become an important source of health information for users worldwide. The novel coronavirus caused a pandemic search for information with broad dissemination of false or misleading health information. OBJECTIVE: The aim of this study was to evaluate the quality and readability of online information about the coronavirus disease (COVID-19), which was a trending topic on the internet, using validated instruments and relating the quality of information to its readability. METHODS: The search was based on the term “Wuhan Coronavirus” on the Google website (February 6, 2020). At the search time, the terms “COVID-19” or “SARS-CoV-2” (severe acute respiratory syndrome coronavirus 2) did not exist. Critical analysis was performed on the first 110 hits using the Health on the Net Foundation Code of Conduct (HONcode), the Journal of the American Medical Association (JAMA) benchmark, the DISCERN instrument, and Google ranking. RESULTS: The first 110 websites were critically analyzed, and only 1.8% (n=2) of the websites had the HONcode seal. The JAMA benchmark showed that 39.1% (n=43) of the websites did not have any of the categories required by this tool, and only 10.0% (11/110) of the websites had the four quality criteria required by JAMA. The DISCERN score showed that 70.0% (n=77) of the websites were evaluated as having a low score and none were rated as having a high score. CONCLUSIONS: Nonhealth personnel and the scientific community need to be aware about the quality of the information they read and produce, respectively. The Wuhan coronavirus health crisis misinformation was produced by the media, and the misinformation was obtained by users from the internet. The use of the internet has a risk to public health, and, in cases like this, the governments should be developing strategies to regulate health information on the internet without censuring the population. By February 6, 2020, no quality information was available on the internet about COVID-19.
has issue date	2020-04-09(xsd:dateTime)
bibo:doi	10.2196/18444
bibo:pmid	32250960
has license	cc-by
schema:url	https://doi.org/10.2196/18444
resource representing a document's title	Misinformation of COVID-19 on the Internet: Infodemiology Study
has PubMed Central identifier	PMC7147328
has PubMed identifier	32250960
schema:publication	JMIR Public Health Surveill
resource representing a document's body	covid:PMC7147328#body_text
is schema:about of	named entity 'Misinformation' named entity 'COVID-19 pandemic' named entity 'epidemic' named entity 'Microsoft Excel' named entity 'Mexico' named entity 'HONcode' named entity 'COVID-19' named entity 'health information' named entity 'China' named entity 'JAMA' named entity 'Google' named entity 'mortality rate' named entity 'search engine' named entity 'Puebla' named entity 'page rank' named entity 'fake news' named entity 'Coronavirus' named entity 'health care' named entity 'Google' named entity 'HONcode' named entity 'health information on the internet' named entity 'Journal of the American Medical Association' named entity 'clinical trials' named entity 'COVID-19' named entity 'quality score' named entity 'COVID-19' named entity 'health information' named entity 'conspiracy theorists' named entity 'traditional Chinese medicine' named entity 'Economic and Social Council' named entity 'JAMA' named entity 'health information' named entity 'epidemic' named entity 'Google' named entity 'China' named entity 'trending topic' named entity 'COVID' named entity 'HONcode' named entity 'Coronavirus' named entity 'Coronaviridae' named entity 'vaccination' named entity 'medical supplies' named entity 'health information' named entity 'WHO' named entity 'Primary Health Care' named entity 'fake news' named entity 'infodemic' named entity 'Google Chrome' named entity 'URLs' named entity 'World Health Organization' named entity 'Appendix 1' named entity 'scientific basis' named entity 'COVID' named entity 'Wuhan' named entity 'fake news' named entity 'prevent the spread' named entity 'health information' named entity 'HONcode' named entity 'coronavirus' named entity 'world population' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'Google search engine' named entity 'China' named entity 'health information' named entity 'Google Trends' named entity 'Google' named entity 'ethnic group' named entity 'China' named entity 'coronavirus' named entity 'Google' named entity 'infodemic' named entity 'health information on the internet' named entity 'WHO' named entity 'HONcode'

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