This HTML5 document contains 25 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
n10https://doi.org/10.2196/
dcthttp://purl.org/dc/terms/
covidprhttp://ns.inria.fr/covid19/property/
fabiohttp://purl.org/spar/fabio/
dcehttp://purl.org/dc/elements/1.1/
schemahttp://schema.org/
rdfshttp://www.w3.org/2000/01/rdf-schema#
n9http://ns.inria.fr/covid19/PMC7423390#
bibohttp://purl.org/ontology/bibo/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
covidhttp://ns.inria.fr/covid19/
xsdhhttp://www.w3.org/2001/XMLSchema#
Subject Item
covid:PMC7423390
rdf:type
schema:ScholarlyArticle fabio:ResearchPaper bibo:AcademicArticle
rdfs:isDefinedBy
covid:dataset-1-2
dct:title
Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review
dce:creator
Fagherazzi, Guy Giabbanelli, Philippe Adly, Aya Eysenbach, Gunther Alvarez-Lopez, Fernando Mohamed, Salwa Adly, Afnan Adly, Mahmoud
dct:source
Medline; PMC
dct:abstract
n9:abstract
dct:issued
2020-08-10
bibo:doi
10.2196/19104
bibo:pmid
32584780
dct:license
cc-by
schema:url
n10:19104
covidpr:hasTitle
n9:title
fabio:hasPubMedCentralId
PMC7423390
fabio:hasPubMedId
32584780
schema:publication
J Med Internet Res
covidpr:hasBody
n9:body_text