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PMC:7216275 / 20093-20791 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
212 20-26 Species denotes people Tax:9606
213 240-246 Species denotes People Tax:9606

2_test

Id Subject Object Predicate Lexical cue
32344770-30805277-49254357 330-332 30805277 denotes 26
T51835 330-332 30805277 denotes 26

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T80 0-1 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T81 179-182 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T82 343-344 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 455-457 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T84 508-509 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T163 0-698 Sentence denotes A study showed that people’s attitudes toward an epidemic outbreak are more influenced by information on social media compared with physical discussion because source reliability has no impact on the health information provided online [51].People obtain information about the outbreak through social media and mobile health apps [26].However, a risk of client secrecy exists because online services are substantially affected by the happiness of clients [52].We took attitudes toward an epidemic outbreak as a mediating effect, meaning that attitudes toward an epidemic outbreak will promote or mediate the relationship of two independent variables and social online presence, as shown in Figure 2.