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PMC:7143846 / 13762-15433 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
168 0-6 Species denotes People Tax:9606
169 205-211 Species denotes people Tax:9606
170 678-684 Species denotes people Tax:9606
171 1583-1589 Species denotes people Tax:9606
172 38-45 Disease denotes anxiety MESH:D001007
173 47-57 Disease denotes depression MESH:D000275
174 147-155 Disease denotes COVID-19 MESH:C000657245
175 383-387 Disease denotes SARS MESH:D045169
176 411-417 Disease denotes stress MESH:D000079225
177 466-473 Disease denotes anxiety MESH:D001007
178 544-552 Disease denotes COVID-19 MESH:C000657245
179 1662-1670 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T55 38-57 Disease denotes anxiety, depression http://purl.obolibrary.org/obo/MONDO_0041086
T56 38-45 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T58 47-57 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T59 147-155 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T60 383-387 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T61 466-473 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T63 544-552 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T64 1662-1670 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T55 399-400 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T56 448-449 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 666-667 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 1277-1278 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 1408-1410 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T3 1107-1112 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T4 1203-1208 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T5 1388-1393 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T17 38-45 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T18 47-57 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T19 466-473 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T15 1332-1341 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T103 0-274 Sentence denotes People showed more negative emotions (anxiety, depression, and indignation) and less positive emotions (Oxford happiness) after the declaration of COVID-19, which was supported by the theory of BIS, i.e., people did generate more negative emotions for self-protection [3,4].
T104 275-510 Sentence denotes These results are consistent to previous studies as well, which found that public health emergencies (e.g., SARS) triggered a series of stress emotional response containing a higher level of anxiety and other negative emotions [32,33].
T105 511-846 Sentence denotes Meanwhile, the confirmation that COVID-19 could be passed from person to person on 20 January, which was inconsistent with previous reports, lead to quite a number of people being unsatisfied with misinformation published from provincial governments (e.g., Hubei) and ineffective regulatory actions, causing an increase in indignation.
T106 847-1002 Sentence denotes However, it’s worth noting that the word frequency of positive emotions increased after 20 January, which seemed to be inconsistent with the theory of BIS.
T107 1003-1179 Sentence denotes In fact, positive emotion includes words such as faith and blessing, which are more inclined to reflect group cohesiveness rather than pure personal emotions (e.g., happiness).
T108 1180-1412 Sentence denotes Researchers found that group threats (e.g., natural disasters and epidemic diseases) made groups a community of interests, resulting in more beneficial behaviors and social solidarity, which indicated higher group cohesiveness [34].
T109 1413-1577 Sentence denotes For example, lots of provinces (e.g., Sichuan Province, Shandong Province, etc.) formed medical teams to help the Hubei province, which was the worst affected area.
T110 1578-1671 Sentence denotes Many people donated money and supplies to Hubei Red Cross to support the control of COVID-19.

2_test

Id Subject Object Predicate Lexical cue
32204411-20424082-49451147 269-270 20424082 denotes 3
32204411-12743065-49451148 503-505 12743065 denotes 32
32204411-15697046-49451149 506-508 15697046 denotes 33
T91692 269-270 20424082 denotes 3
T32977 503-505 12743065 denotes 32
T62082 506-508 15697046 denotes 33