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b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
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ldp
oplweb
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About:
covid:PMC7277747
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An Entity of Type :
owl:Thing
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Attributes
Values
Creator
Nghiem, Son
Dang, Anh
Ho, Cyrus
Ho, Roger
Le, Xuan
Phan, Hai
Tran, Bach
Le, Huong
Nguyen, Tu
Do, Khanh
Do, Toan
Latkin, Carl
Nguyen, Thu
Pham, Hai
Phung, Dung
Thai, Phong
Tran, Trung
Truong, Dat
Vu, Giang
Vu, Giap
is
schema:about
of
named entity 'Epidemic'
named entity 'Communities'
named entity 'mass media'
named entity 'pathogen'
named entity 'social isolation'
named entity 'pathogen'
named entity 'Vietnam'
named entity 'COVID-19'
named entity 'epidemic'
named entity 'sample size'
named entity 'COVID-19'
named entity 'pathogen'
named entity 'epidemic'
named entity 'Inferential statistics'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'risk communication'
named entity 'Vietnam'
named entity 'Mass media'
named entity 'WHO'
named entity 'COVID-19 virus'
named entity 'IHR'
named entity 'primary healthcare'
named entity 'EFA'
named entity 'risk communication'
named entity 'disease outbreaks'
named entity 'COVID-19 pandemic'
named entity 'COVID-19'
named entity 'prevention and control'
named entity 'COVID-19'
named entity 'medical professionals'
named entity 'COVID-19'
named entity 'Mass media'
named entity 'EFA'
named entity 'p-value'
named entity 'Mass media'
named entity 'eductors'
named entity 'COVID-19'
named entity 'epidemic'
named entity 'COVID-19'
named entity 'Wuhan'
named entity 'Vietnam'
named entity 'Vietnam'
named entity 'prevention and control'
named entity 'COVID-19'
named entity 'government of Vietnam'
named entity 'sample size'
named entity 'epidemic'
named entity 'Mass media'
named entity 'China'
named entity 'COVID-19'
named entity 'China'
named entity 'COVID-19'
named entity 'cross-sectional study'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'internal consistency'
named entity 'margin of error'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'Statistical significance'
named entity 'respondent-driven sampling'
named entity 'prevention and control'
named entity 'COVID-19'
named entity '1.1'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'global health'
named entity 'epidemic'
named entity 'epidemic'
named entity 'medical professionals'
named entity 'COVID-19'
named entity 'health information'
named entity 'epidemic'
named entity 'epidemic'
named entity 'Descriptive statistics'
named entity 'forward selection'
named entity 'principal component analysis'
named entity 'COVID-19'
named entity 'COVID-19'
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