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PMC:7216275 / 21834-22381 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
232 185-191 Gene denotes E-Govt
233 155-164 Species denotes 2019-nCoV Tax:2697049
234 207-213 Species denotes people Tax:9606
235 272-278 Species denotes people Tax:9606
236 407-413 Species denotes people Tax:9606
237 95-99 Disease denotes MERS MESH:D018352

2_test

Id Subject Object Predicate Lexical cue
32344770-27130900-49254359 110-112 27130900 denotes 57
T59900 110-112 27130900 denotes 57

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T89 128-133 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T171 0-114 Sentence denotes Lack of trust in government was observed in the public in Korea when attempting to control the MERS epidemic [57].
T172 115-308 Sentence denotes However, our focus was on the effect of 2019-nCoV-WOM and the role of E-Govt to protect the people during long-term outbreak, and to examine the response of people during the quarantine period.
T173 309-396 Sentence denotes We supposed that public attitude toward epidemics affects their online social presence.
T174 397-512 Sentence denotes In China, people are willing to share news and have positive attitudes when sharing the good news about protection.
T175 513-547 Sentence denotes So, we hypothesized the following: