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PMC:7143846 / 11761-19222 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
127 162-168 Species denotes people Tax:9606
128 62-70 Disease denotes COVID-19 MESH:C000657245
129 83-101 Disease denotes infectious disease MESH:D003141
130 114-122 Disease denotes COVID-19 MESH:C000657245
131 437-445 Disease denotes COVID-19 MESH:C000657245
136 472-478 Species denotes people Tax:9606
137 914-920 Species denotes people Tax:9606
138 1154-1160 Species denotes people Tax:9606
139 1327-1333 Species denotes people Tax:9606
148 1669-1675 Species denotes people Tax:9606
149 1838-1844 Species denotes people Tax:9606
150 1502-1510 Disease denotes COVID-19 MESH:C000657245
151 1532-1537 Disease denotes death MESH:D003643
152 1622-1631 Disease denotes mortality MESH:D003643
153 1635-1643 Disease denotes COVID-19 MESH:C000657245
154 1717-1723 Disease denotes stress MESH:D000079225
155 1727-1732 Disease denotes death MESH:D003643
168 2001-2007 Species denotes People Tax:9606
169 2206-2212 Species denotes people Tax:9606
170 2679-2685 Species denotes people Tax:9606
171 3584-3590 Species denotes people Tax:9606
172 2039-2046 Disease denotes anxiety MESH:D001007
173 2048-2058 Disease denotes depression MESH:D000275
174 2148-2156 Disease denotes COVID-19 MESH:C000657245
175 2384-2388 Disease denotes SARS MESH:D045169
176 2412-2418 Disease denotes stress MESH:D000079225
177 2467-2474 Disease denotes anxiety MESH:D001007
178 2545-2553 Disease denotes COVID-19 MESH:C000657245
179 3663-3671 Disease denotes COVID-19 MESH:C000657245
186 3941-3947 Species denotes people Tax:9606
187 4162-4168 Species denotes people Tax:9606
188 3776-3784 Disease denotes COVID-19 MESH:C000657245
189 4093-4102 Disease denotes infection MESH:D007239
190 4129-4138 Disease denotes infection MESH:D007239
191 4232-4240 Disease denotes COVID-19 MESH:C000657245
205 5045-5051 Species denotes people Tax:9606
206 5594-5600 Species denotes people Tax:9606
207 5637-5643 Species denotes People Tax:9606
208 5702-5708 Species denotes people Tax:9606
209 5872-5878 Species denotes People Tax:9606
210 4680-4688 Disease denotes COVID-19 MESH:C000657245
211 4804-4809 Disease denotes death MESH:D003643
212 5101-5107 Disease denotes stress MESH:D000079225
213 5125-5132 Disease denotes anxiety MESH:D001007
214 5134-5144 Disease denotes depression MESH:D000275
215 5677-5685 Disease denotes infected MESH:D007239
216 6369-6376 Disease denotes anxiety MESH:D001007
217 6381-6391 Disease denotes depression MESH:D000275
222 7019-7022 Gene denotes age Gene:5973
223 6705-6711 Species denotes people Tax:9606
224 7112-7118 Species denotes people Tax:9606
225 7306-7312 Species denotes people Tax:9606

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T7 737-743 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T49 62-70 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T50 83-101 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T51 114-122 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T52 437-445 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T53 1502-1510 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T54 1635-1643 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T55 2039-2058 Disease denotes anxiety, depression http://purl.obolibrary.org/obo/MONDO_0041086
T56 2039-2046 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T58 2048-2058 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T59 2148-2156 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T60 2384-2388 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T61 2467-2474 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T63 2545-2553 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T64 3663-3671 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T65 3776-3784 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T66 4093-4102 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T67 4129-4138 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T68 4232-4240 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T69 4680-4688 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T70 5125-5144 Disease denotes anxiety, depression http://purl.obolibrary.org/obo/MONDO_0041086
T71 5125-5132 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T73 5134-5144 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T74 6369-6391 Disease denotes anxiety and depression http://purl.obolibrary.org/obo/MONDO_0041086
T75 6369-6376 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T77 6381-6391 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T45 74-75 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 76-77 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T47 204-210 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T48 594-595 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T49 724-725 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T50 775-783 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T51 931-932 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T52 1076-1086 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T53 1099-1100 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T54 1821-1830 http://purl.obolibrary.org/obo/CLO_0001759 denotes 31]. That
T55 2400-2401 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T56 2449-2450 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 2667-2668 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 3278-3279 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 3409-3411 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T60 4721-4722 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T61 4942-4945 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T62 6801-6802 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 6822-6823 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 6860-6863 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T65 6939-6940 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T66 7059-7060 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 7233-7235 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T68 7269-7270 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 7349-7354 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T3 3108-3113 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T4 3204-3209 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T5 3389-3394 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T17 2039-2046 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T18 2048-2058 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T19 2467-2474 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T20 5125-5132 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T21 5134-5144 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T22 6369-6376 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T23 6381-6391 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T14 1426-1437 http://purl.obolibrary.org/obo/GO_0065007 denotes regulations
T15 3333-3342 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T16 4355-4366 http://purl.obolibrary.org/obo/GO_0065007 denotes regulations

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T87 0-2 Sentence denotes 4.
T88 3-13 Sentence denotes Discussion
T89 14-182 Sentence denotes Since the National Health Commission identified COVID-19 as a B type infectious disease officially, COVID-19 influenced the psychological states of people across China.
T90 183-290 Sentence denotes This study collected active Weibo users’ data, and conducted sentiment analysis during 13–26 January, 2020.
T91 291-446 Sentence denotes We used OER to acquire the psychological states, and found that Weibo users’ psychological conditions significantly changed under the outbreak of COVID-19.
T92 447-542 Sentence denotes The findings showed that people’s concerns by linguistic expression increased after January 20.
T93 543-627 Sentence denotes We observe an increase in health and family, while a decrease in leisure and friend.
T94 628-881 Sentence denotes Uncertainty of the upcoming situation causes cognitive dissonance and insecurity; this produces a feeling of mental discomfort, leading to Weibo’s activity oriented toward dissonance reduction and keeping security on health and family relationship [29].
T95 882-1010 Sentence denotes According to the theory of BIS, people behave in a more reticent and conservative way when they feel threatened by disease [30].
T96 1011-1130 Sentence denotes Therefore, staying at home with family and reducing recreational activities seems to be a safer way to prevent illness.
T97 1131-1489 Sentence denotes It also indicated that people begin to care more about their health and were more likely to seek social support from their families rather than getting together with friends, which suggested that people’ interests and attention were influenced by the restricted travel policy and self-isolation regulations from the health authorities and central government.
T98 1490-1583 Sentence denotes Affected by COVID-19, messages related to death and religion became salient after 20 January.
T99 1584-1644 Sentence denotes Reports showed severity and potential mortality of COVID-19.
T100 1645-1825 Sentence denotes Research confirmed that people tended to respond to emergencies such as stress or death in the way of religion, which can comfort tense moods and bring more positive emotions [31].
T101 1826-1983 Sentence denotes That is why people prayed for the county through religion or other beliefs, leading to the phrase that appeared most frequently on the Internet at that time:
T102 1984-2000 Sentence denotes God bless China.
T103 2001-2275 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 2276-2511 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 2512-2847 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 2848-3003 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 3004-3180 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 3181-3413 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 3414-3578 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 3579-3672 Sentence denotes Many people donated money and supplies to Hubei Red Cross to support the control of COVID-19.
T111 3673-3785 Sentence denotes Furthermore, social risk judgement was higher and life satisfaction was lower after the declaration of COVID-19.
T112 3786-4146 Sentence denotes It is consistent with the theory of BIS, which found that when social uncertainty increased, such as unknown etiology and ambiguous route of transmission, people developed the negative cognitive assessment (e.g., higher sensitivity of risk judgment or risk perception) so that they could discover potential infection sources in time and avoid infection [2,35].
T113 4147-4315 Sentence denotes Not only that, people’s fear of potential risk and lack of controllability caused by COVID-19 brought about higher risk judgement as perceived risk theory claimed [10].
T114 4316-4487 Sentence denotes Moreover, some preventive policies and regulations in terms of travel restriction and self-isolation made the quality of life worse, reflecting in lower life satisfaction.
T115 4488-4689 Sentence denotes The following briefly foregrounds some of the study’s implications for policy makers and clinical practitioners (e.g., social workers, psychiatrists, and psychologists) plan and fight against COVID-19.
T116 4690-4860 Sentence denotes For policy makers: (1) develop a consistent policy and procedure for reporting the latest confirmed cases, recent death toll, and other data about the epidemic situation.
T117 4861-5021 Sentence denotes For example, the surge of cases on February 12th did not mean that the situation has been out of control, but because of the new diagnostic criteria introduced.
T118 5022-5271 Sentence denotes It is important to let people understand the data properly to reduce excessive stress responses (e.g., anxiety, depression, etc.) brought on by inappropriate perception. (2) Expand public awareness of continuous progress in decision-making measures.
T119 5272-5522 Sentence denotes Since indignation may come mainly from mistakes and deficiencies in preventing and controlling the epidemic, it can effectively decrease indignation if public awareness and involvement are provided. (3) Ensure the supply of medical treatment service.
T120 5523-5636 Sentence denotes It is critical to set up medical service to treat the disease, and let people know how to access it conveniently.
T121 5637-5686 Sentence denotes People can get help in time if they are infected.
T122 5687-5871 Sentence denotes It can improve people’s sense of control over risks, thereby avoiding excessive social risk perception. (4) Provide more in-door entertainment services to address good quality of life.
T123 5872-6015 Sentence denotes People may be more willing to cooperate when their living and entertainment requirements are met, such as online shopping, entertainments, etc.
T124 6016-6121 Sentence denotes For clinical practitioners: (1) adjust consultant configuration rationally and cooperate with each other.
T125 6122-6249 Sentence denotes Psychological consultants should grasp the epidemic information correctly and conduct science popularization during counseling.
T126 6250-6307 Sentence denotes Social workers can help solve practical problems in life.
T127 6308-6452 Sentence denotes These actions can improve the sense of stability and relieve anxiety and depression. (2) Deliver necessary psychosocial therapy in various ways.
T128 6453-6582 Sentence denotes Considering the particularity of self-isolation, relevant hotline counseling and online consulting should be applied in practice.
T129 6583-6665 Sentence denotes Several other points should be considered when generalizing this study’s findings.
T130 6666-6754 Sentence denotes First, as Weibo users are mainly young people, the results may be biased to some extent.
T131 6755-6955 Sentence denotes In addition, the current analysis is based on a weekly basis, with a relatively large granularity, which has certain influences on reflecting the changing trend of social mentality in a timely manner.
T132 6956-7079 Sentence denotes In further studies, we will try to expand the range of sex and age and predict psychological traits in a finer granularity.
T133 7080-7237 Sentence denotes Previous studies indicated that people tended to exaggerate attitudes and prejudices, especially when they felt more vulnerable to disease transmission [36].
T134 7238-7461 Sentence denotes It inspires us to try to build a prediction model which can predict people’s attitudes and beliefs against the virus through online Weibo data for further understanding of psychological impacts of public health emergencies.

2_test

Id Subject Object Predicate Lexical cue
32204411-11584519-49451146 1821-1823 11584519 denotes 31
32204411-20424082-49451147 2270-2271 20424082 denotes 3
32204411-12743065-49451148 2504-2506 12743065 denotes 32
32204411-15697046-49451149 2507-2509 15697046 denotes 33
32204411-3563507-49451150 4311-4313 3563507 denotes 10
T50753 1821-1823 11584519 denotes 31
T91692 2270-2271 20424082 denotes 3
T32977 2504-2506 12743065 denotes 32
T62082 2507-2509 15697046 denotes 33
T90442 4311-4313 3563507 denotes 10