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PMC:7216275 / 10093-25444 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
88 69-75 Species denotes People Tax:9606
89 218-224 Species denotes people Tax:9606
90 385-391 Species denotes people Tax:9606
91 456-462 Species denotes people Tax:9606
94 985-991 Species denotes people Tax:9606
95 1091-1097 Species denotes people Tax:9606
98 1138-1144 Species denotes People Tax:9606
99 1492-1498 Species denotes people Tax:9606
107 2406-2412 Species denotes people Tax:9606
108 2470-2481 Species denotes coronavirus Tax:11118
109 2367-2385 Disease denotes infectious disease MESH:D003141
110 2397-2405 Disease denotes infected MESH:D007239
111 2487-2519 Disease denotes Middle East respiratory syndrome MESH:D018352
112 2521-2525 Disease denotes MERS MESH:D018352
113 2778-2782 Disease denotes MERS MESH:D018352
122 3480-3486 Gene denotes E-Govt
123 2924-2930 Species denotes people Tax:9606
124 3179-3185 Species denotes people Tax:9606
125 3436-3445 Species denotes 2019-nCoV Tax:2697049
126 3720-3726 Species denotes people Tax:9606
127 3946-3955 Species denotes 2019-nCoV Tax:2697049
128 3506-3514 Disease denotes COVID-19 MESH:C000657245
129 3990-3998 Disease denotes COVID-19 MESH:C000657245
131 4592-4614 Disease denotes COVID-19-Word of Mouth MESH:C000657245
134 4646-4652 Species denotes people Tax:9606
135 4766-4774 Disease denotes COVID-19 MESH:C000657245
139 4936-4942 Species denotes people Tax:9606
140 5224-5230 Species denotes people Tax:9606
141 5319-5327 Disease denotes COVID-19 MESH:C000657245
151 5448-5454 Species denotes people Tax:9606
152 5629-5637 Species denotes patients Tax:9606
153 5668-5676 Species denotes patients Tax:9606
154 5786-5794 Species denotes patients Tax:9606
155 5883-5889 Species denotes people Tax:9606
156 6090-6096 Species denotes people Tax:9606
157 6143-6149 Species denotes people Tax:9606
158 6239-6245 Species denotes people Tax:9606
159 5961-5968 Disease denotes anxiety MESH:D001007
168 6378-6384 Species denotes people Tax:9606
169 6657-6663 Species denotes people Tax:9606
170 6856-6865 Species denotes 2019-nCoV Tax:2697049
171 7085-7091 Species denotes people Tax:9606
172 6466-6493 Disease denotes COVID-19-infected pneumonia MESH:C000657245
173 6578-6587 Disease denotes dry cough MESH:D003371
174 6593-6602 Disease denotes body pain MESH:D010146
175 6723-6728 Disease denotes COVID MESH:C000657245
179 7160-7169 Species denotes 2019-nCoV Tax:2697049
180 7222-7231 Species denotes 2019-nCoV Tax:2697049
181 7332-7341 Species denotes 2019-nCoV Tax:2697049
183 7589-7597 Disease denotes COVID-19 MESH:C000657245
185 7678-7686 Disease denotes COVID-19 MESH:C000657245
187 7770-7778 Disease denotes COVID-19 MESH:C000657245
189 7884-7889 Disease denotes COVID MESH:C000657245
191 8082-8088 Species denotes people Tax:9606
196 8310-8316 Species denotes People Tax:9606
197 8665-8671 Species denotes people Tax:9606
198 8223-8230 Disease denotes fitness MESH:D012640
199 8630-8638 Disease denotes COVID-19 MESH:C000657245
202 8994-9000 Species denotes people Tax:9606
203 9090-9095 Species denotes child Tax:9606
206 9493-9502 Species denotes 2019-nCoV Tax:2697049
207 9566-9575 Species denotes 2019-nCoV Tax:2697049
209 9759-9767 Disease denotes COVID-19 MESH:C000657245
212 10020-10026 Species denotes people Tax:9606
213 10240-10246 Species denotes People Tax:9606
216 10774-10780 Species denotes people Tax:9606
217 11140-11146 Species denotes people Tax:9606
222 11198-11204 Species denotes People Tax:9606
223 11346-11352 Species denotes people Tax:9606
224 11387-11393 Disease denotes stress MESH:D000079225
225 11470-11478 Disease denotes infected MESH:D007239
232 11926-11932 Gene denotes E-Govt
233 11896-11905 Species denotes 2019-nCoV Tax:2697049
234 11948-11954 Species denotes people Tax:9606
235 12013-12019 Species denotes people Tax:9606
236 12148-12154 Species denotes people Tax:9606
237 11836-11840 Disease denotes MERS MESH:D018352
240 12630-12636 Gene denotes E-Govt
241 12510-12519 Species denotes 2019-nCoV Tax:2697049
243 12785-12793 Disease denotes COVID-19 MESH:C000657245
246 13785-13791 Species denotes People Tax:9606
247 13951-13957 Species denotes people Tax:9606
249 14013-14018 Species denotes human Tax:9606
251 14579-14585 Species denotes people Tax:9606
257 14799-14805 Species denotes People Tax:9606
258 14858-14864 Species denotes people Tax:9606
259 15048-15054 Species denotes people Tax:9606
260 15189-15195 Species denotes people Tax:9606
261 14780-14788 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T10 2248-2259 Body_part denotes compartment http://purl.org/sig/ont/fma/fma76577
T11 4609-4614 Body_part denotes Mouth http://purl.org/sig/ont/fma/fma49184
T12 6560-6564 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T13 6593-6597 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T14 7581-7584 Body_part denotes H2a http://purl.org/sig/ont/fma/fma84129
T15 7606-7611 Body_part denotes mouth http://purl.org/sig/ont/fma/fma49184
T16 7669-7672 Body_part denotes H2b http://purl.org/sig/ont/fma/fma84130
T17 7695-7700 Body_part denotes mouth http://purl.org/sig/ont/fma/fma49184
T18 7787-7792 Body_part denotes mouth http://purl.org/sig/ont/fma/fma49184
T19 9776-9781 Body_part denotes mouth http://purl.org/sig/ont/fma/fma49184
T20 12802-12807 Body_part denotes mouth http://purl.org/sig/ont/fma/fma49184

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T8 4609-4614 Body_part denotes Mouth http://purl.obolibrary.org/obo/UBERON_0000165
T9 7606-7611 Body_part denotes mouth http://purl.obolibrary.org/obo/UBERON_0000165
T10 7695-7700 Body_part denotes mouth http://purl.obolibrary.org/obo/UBERON_0000165
T11 7787-7792 Body_part denotes mouth http://purl.obolibrary.org/obo/UBERON_0000165
T12 9776-9781 Body_part denotes mouth http://purl.obolibrary.org/obo/UBERON_0000165
T13 12802-12807 Body_part denotes mouth http://purl.obolibrary.org/obo/UBERON_0000165

2_test

Id Subject Object Predicate Lexical cue
32344770-30828672-49254349 2441-2443 30828672 denotes 39
32344770-31297469-49254350 2642-2644 31297469 denotes 40
32344770-30343247-49254351 2794-2796 30343247 denotes 41
32344770-21640643-49254352 5088-5090 21640643 denotes 44
32344770-31954843-49254353 5215-5217 31954843 denotes 45
32344770-30805277-49254354 6119-6121 30805277 denotes 26
32344770-32092296-49254355 6604-6606 32092296 denotes 49
32344770-31003809-49254356 8621-8623 31003809 denotes 50
32344770-30805277-49254357 10330-10332 30805277 denotes 26
32344770-26367185-49254358 11074-11076 26367185 denotes 53
32344770-27130900-49254359 11851-11853 27130900 denotes 57
32344770-30805277-49254360 13495-13497 30805277 denotes 26
32344770-30805277-49254361 15289-15291 30805277 denotes 26
T32601 2441-2443 30828672 denotes 39
T25588 2642-2644 31297469 denotes 40
T64115 2794-2796 30343247 denotes 41
T98274 5088-5090 21640643 denotes 44
T73629 5215-5217 31954843 denotes 45
T39545 6119-6121 30805277 denotes 26
T71846 6604-6606 32092296 denotes 49
T85224 8621-8623 31003809 denotes 50
T51835 10330-10332 30805277 denotes 26
T8274 11074-11076 26367185 denotes 53
T59900 11851-11853 27130900 denotes 57
T59520 13495-13497 30805277 denotes 26
T38068 15289-15291 30805277 denotes 26

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T16 2062-2066 Disease denotes burn http://purl.obolibrary.org/obo/MONDO_0043519
T17 2367-2385 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T18 3506-3514 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 3990-3998 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 4592-4600 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 4766-4774 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 5319-5327 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 5961-5968 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T25 6466-6474 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 6484-6493 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T27 7589-7597 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 7678-7686 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T29 7770-7778 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T30 8630-8638 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 9759-9767 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 12785-12793 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T33 14780-14788 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T44 124-125 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 361-362 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 490-491 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 849-851 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T48 904-907 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T49 1428-1431 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T50 1532-1533 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T51 1769-1771 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T52 1861-1862 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 2010-2012 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T54 2074-2076 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T55 2585-2590 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T56 2794-2796 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T57 3016-3017 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 3153-3160 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T59 3328-3329 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T60 3609-3610 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T61 3848-3849 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 4094-4095 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 4497-4500 http://purl.obolibrary.org/obo/CLO_0050351 denotes H1c
T64 4609-4614 http://www.ebi.ac.uk/efo/EFO_0000825 denotes Mouth
T65 4893-4896 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T66 4902-4903 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 5215-5217 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T68 5585-5586 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 5730-5732 http://purl.obolibrary.org/obo/CLO_0001382 denotes 48
T70 6130-6131 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 6430-6437 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T72 6837-6842 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T73 7052-7053 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 7577-7579 http://purl.obolibrary.org/obo/CLO_0001236 denotes 2a
T75 7606-7611 http://www.ebi.ac.uk/efo/EFO_0000825 denotes mouth
T76 7695-7700 http://www.ebi.ac.uk/efo/EFO_0000825 denotes mouth
T77 7787-7792 http://www.ebi.ac.uk/efo/EFO_0000825 denotes mouth
T78 8850-8851 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T79 9776-9781 http://www.ebi.ac.uk/efo/EFO_0000825 denotes mouth
T80 10000-10001 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T81 10179-10182 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T82 10343-10344 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 10455-10457 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T84 10508-10509 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T85 10740-10741 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T86 10830-10831 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T87 10905-10906 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T88 11562-11563 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T89 11869-11874 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T90 12426-12427 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T91 12705-12707 http://purl.obolibrary.org/obo/CLO_0001387 denotes 4c
T92 12802-12807 http://www.ebi.ac.uk/efo/EFO_0000825 denotes mouth
T93 13616-13617 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T94 13901-13907 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T95 14013-14018 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T96 14202-14203 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T97 14848-14853 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T4 5143-5146 Chemical denotes EEG http://purl.obolibrary.org/obo/CHEBI_73494
T5 6423-6429 Chemical denotes corona http://purl.obolibrary.org/obo/CHEBI_37409

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T4 5961-5968 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T5 6484-6493 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T6 6578-6587 Phenotype denotes dry cough http://purl.obolibrary.org/obo/HP_0031246
T7 6598-6602 Phenotype denotes pain http://purl.obolibrary.org/obo/HP_0012531

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T3 10997-11003 http://purl.obolibrary.org/obo/GO_0098739 denotes uptake
T4 10997-11003 http://purl.obolibrary.org/obo/GO_0098657 denotes uptake
T5 13168-13176 http://purl.obolibrary.org/obo/GO_0015297 denotes exchange

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T79 0-2 Sentence denotes 2.
T80 3-47 Sentence denotes Literature Review and Hypothesis Development
T81 49-53 Sentence denotes 2.1.
T82 54-68 Sentence denotes Role of E-Govt
T83 69-160 Sentence denotes People have perceptions about their government playing a role during an epidemic condition.
T84 161-353 Sentence denotes Perceptions are heightened during an outbreak period, as people are concerned about their protection, and their attitude toward an epidemic outbreak depends on this protection, to some extent.
T85 354-561 Sentence denotes During a quarantine period, as people are isolated, the perceived role of E-Govt may be increased and people might be motivated to play a role in epidemic protection after watching the involvement of E-Govt.
T86 562-696 Sentence denotes In our questionnaire, we asked about trust in E-Govt, which might provide motivation to play an important role in epidemic protection.
T87 697-853 Sentence denotes The literature shows that the role of government, especially governmental strategies and alertness messages, in any outbreak is progressively enhanced [27].
T88 854-1018 Sentence denotes Communication and interaction with the government has increased in last few years, as the government is interested in engaging its people through social media [28].
T89 1019-1137 Sentence denotes The abovementioned literature justifies that the government understands people’s perceptions about the role of E-Govt.
T90 1138-1210 Sentence denotes People involved in policy-making are also inspired by social media [29].
T91 1211-1293 Sentence denotes Factors involved in sharing information are not described in this literature [30].
T92 1294-1380 Sentence denotes Attitudes and awareness is connected to the supposed efficiency of policy-making [31].
T93 1381-1563 Sentence denotes Improvement and development in Chinese e-waste has been seen in the last six years [32].This might enhance the people perceptions about E-Govt playing a role in an epidemic outbreak.
T94 1564-1664 Sentence denotes In Canada, social media was used as tool for facilitation of consumers by government officials [33].
T95 1665-1773 Sentence denotes In Latin America, research on E-Govt is increasing and conflicting with what is occurring in the world [34].
T96 1774-2014 Sentence denotes One reason we involved E-Govt and online social presence in our research model is that a noteworthy difference was identified the in analysis of awareness about the use of mobile phones to seek health information during critical times [35].
T97 2015-2078 Sentence denotes Awareness promotion plays an important role in burn cases [36].
T98 2079-2182 Sentence denotes Universal and global research is needed in community health for the use of social media in E-Govt [37].
T99 2183-2342 Sentence denotes Our study variables included capability of isolation, quarantine compartment, and interaction methods, which are responsible for occupancy rate isolation [38].
T100 2343-2445 Sentence denotes To stop the transfer of infectious disease, isolating infected people from healthy ones is vital [39].
T101 2446-2560 Sentence denotes The biggest outbreak of coronavirus, the Middle East respiratory syndrome (MERS), occurred in South Korea in 2015.
T102 2561-2646 Sentence denotes The main spread of this virus occurred in South Korea from and out of hospitals [40].
T103 2647-2798 Sentence denotes As an independent variable, we added role of E-government in our study, because studies were lacking on the emotional influence of MERS outbreaks [41].
T104 2799-2965 Sentence denotes Research showed that administration, media, and celebrities play important roles in health promotion on Twitter [42] because people are more attracted to celebrities.
T105 2966-3047 Sentence denotes Recommendations that are logically expressed have a strong impact on public [43].
T106 3048-3224 Sentence denotes Many governments are improving their use of social media in health departments and are trying to provide digital services to their people guidance; especially during outbreaks.
T107 3225-3515 Sentence denotes To increase the theoretical literature on E-Govt in the health sector, we aimed to fill this gap using a systematic review method to analytically evaluate, recognize, and create research evidence for the use of 2019-nCoV-WOMin connection with the role of E-Govt in protection from COVID-19.
T108 3516-3668 Sentence denotes We also tried to critically evaluate the role of social media and the willingness to undergo a long quarantine period for protection from this epidemic.
T109 3669-3888 Sentence denotes Here, per the literature, we take this variable of people’s perception (perceived role) of the role of the Chinese government, which was important because the government provided a plan to withstand the outbreak period.
T110 3889-4035 Sentence denotes Notably, this is the first critical review of the use of 2019-nCoV-WOM and the role of E-Govt in the COVID-19 epidemic (as independent variables).
T111 4036-4243 Sentence denotes Given the above literature, we expected that E-Govt plays a considerable role in the perception of epidemic protection and online social presence and in changing public attitudes toward an epidemic outbreak.
T112 4244-4285 Sentence denotes Therefore, we hypothesized the following:
T113 4286-4372 Sentence denotes Hypothesis 1a (H1a):  Role of E-government considerably affects epidemic protection.
T114 4373-4481 Sentence denotes Hypothesis 1b (H1b):  Role of E-government considerably affects online social presence during an outbreak.
T115 4482-4585 Sentence denotes Hypothesis 1c (H1c):  Role of E-government considerably affects attitude toward an epidemic outbreak.
T116 4587-4591 Sentence denotes 2.2.
T117 4592-4614 Sentence denotes COVID-19-Word of Mouth
T118 4615-4738 Sentence denotes WOM provides new directions to people’s thoughts and views about any condition, and especially during an epidemic outbreak.
T119 4739-4840 Sentence denotes Nowadays, the top trend is COVID-19 epidemic conditions discussed in news and online social websites.
T120 4841-4994 Sentence denotes Many studies in the last 10 years proved that there has been a large increase in the number of people willing to find health information on the Internet.
T121 4995-5092 Sentence denotes An increase in the number of social profiles providing health information was also observed [44].
T122 5093-5219 Sentence denotes Electroencephalography inter-subject correlation (EEG-ISC) was improved by an increase in resilient health communication [45].
T123 5220-5357 Sentence denotes The people of Wuhan felt great confidence in sharing their views during data collection during the COVID-19 epidemic outbreak quarantine.
T124 5358-5429 Sentence denotes Health promotions broadcast by the media are used to promote awareness.
T125 5430-5519 Sentence denotes For young Italian people, the messages were mostly about health and the environment [46].
T126 5520-5734 Sentence denotes This is significant because health experts have been using it as a motivational tool during the treatment of patients [47] and because histories of patients with similar symptoms are important for predictions [48].
T127 5735-5809 Sentence denotes This may be helpful for the emotional treatment of patients in the future.
T128 5810-5969 Sentence denotes Conversely, the most important aspect of health promotions is increasing people’s patience and keeping them calm during the quarantine period to avoid anxiety.
T129 5970-6123 Sentence denotes The Chinese government improved public endurance by their emotional awareness through message sharing, which encouraged people to share their views [26].
T130 6124-6342 Sentence denotes It is a common for people to first think that social media information is only rumors during an outbreak; as such, people were at risk of being ignorant of health information shared by the government or by individuals.
T131 6343-6438 Sentence denotes To provide better and urgent cure, people should know the signs and symptoms of corona viruses.
T132 6439-6608 Sentence denotes Many symptoms of the novel COVID-19-infected pneumonia (NCIP) have been described by researchers; they include increased body temperature, dry cough, and body pain [49].
T133 6609-6843 Sentence denotes The Chinese government promoted awareness among people through social media, so that individuals showing signs of COVID-19would immediately understand and contact medical experts for treatment and minimize further spread of the virus.
T134 6844-7010 Sentence denotes Only online 2019-nCoV-WOM was used for the quarantine period in China, especially in Wuhan and Anhui; some other countries soon after implemented quarantine measures.
T135 7011-7092 Sentence denotes This means the Chinese government played a positive role in the safety of people.
T136 7093-7174 Sentence denotes The above-mentioned research demonstrated the importance of online 2019-nCoV-WOM.
T137 7175-7314 Sentence denotes So, we tried to explore the positive effect of 2019-nCoV-WOM on online social presence in our research using exclusive mediating variables.
T138 7315-7530 Sentence denotes We expected that 2019-nCoV-WOM not only significantly affects perceptions of epidemic protection in terms of individuals’ online social presence, but also influences changes in attitude toward the epidemic outbreak.
T139 7531-7565 Sentence denotes So, we hypothesized the following:
T140 7566-7653 Sentence denotes Hypothesis 2a (H2a)  COVID-19 word of mouth considerably affects epidemic protection.
T141 7654-7745 Sentence denotes Hypothesis 2b (H2b):  COVID-19 word of mouth considerably affects online social presence.
T142 7746-7852 Sentence denotes Hypothesis 2c (H2c):  COVID-19 word of mouth considerably affects attitude toward the epidemic outbreak.
T143 7854-7858 Sentence denotes 2.3.
T144 7859-7914 Sentence denotes Epidemic Protection from COVID-19and Its Mediating Role
T145 7915-8022 Sentence denotes Everyone is concerned with their protection in any condition, but particularly during an epidemic outbreak.
T146 8023-8192 Sentence denotes The protection factor might affect social presence, but as people are isolated during quarantine, this factor changes the effect on online social presence in other ways.
T147 8193-8309 Sentence denotes Individuals’ attitudes toward fitness is boosted by viewing health information posted on Facebook in video form [3].
T148 8310-8439 Sentence denotes People’s responses to epidemic protection increase especially during quarantine because they are at home and have more free time.
T149 8440-8625 Sentence denotes Individuals with prolonged health problems acknowledged caretakers’ guidance more than other adults in the U.S., but they did not obtain physical exercise guidance for good health [50].
T150 8626-8764 Sentence denotes The COVID-19 epidemic protection urged people to increase their online social presence to enhance public emotions for epidemic protection.
T151 8765-8962 Sentence denotes The empirical studies mentioned above encouraged us to relate epidemic protection as a dependent variable due to obtaining specific information to protect online users during the quarantine period.
T152 8963-9037 Sentence denotes Here, we took this variable as people’s perception to ensure their safety.
T153 9038-9208 Sentence denotes China is more conscious about health due to the one-child policy, free Internet to obtain information, and the perception of being safe through obtaining safety measures.
T154 9209-9250 Sentence denotes Therefore, we hypothesized the following:
T155 9251-9339 Sentence denotes Hypothesis 3a (H3a):  Epidemic protection considerably affects online social presence.
T156 9340-9538 Sentence denotes The literature discussed above indicated that assuming the role of E-Govt in online social presence of the public is mediated by epidemic protection and 2019-nCoV-WOM affects online social presence.
T157 9539-9646 Sentence denotes However, we suspected that 2019-nCoV-WOM is boosted by the psychological perception of epidemic protection.
T158 9647-9681 Sentence denotes So, we hypothesized the following:
T159 9682-9809 Sentence denotes Hypothesis 3c (H3c):  Epidemic protection mediates the association between COVID-19 word of mouth and online social presence.
T160 9810-9935 Sentence denotes Hypothesis 4b (H4b):  Epidemic protection mediates the association between role of E-government and online social presence.
T161 9937-9941 Sentence denotes 2.4.
T162 9942-9999 Sentence denotes Attitudes toward Epidemic Outbreak and Its Mediating Role
T163 10000-10698 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.
T164 10699-10870 Sentence denotes Research showed that the availability of a vaccine for an epidemic affects people’s attitudes toward the outbreak; for publicizing a vaccine, online sources are important.
T165 10871-10979 Sentence denotes During epidemics, curiosity about a vaccine is more influenced by publicity, not by the epidemic conditions.
T166 10980-11078 Sentence denotes However, vaccine uptake is also influenced by the epidemic condition when epidemic increases [53].
T167 11079-11197 Sentence denotes Recommendations by doctors, friends, and relatives stimulate people [54] as they discuss their responses to epidemics.
T168 11198-11290 Sentence denotes People who are isolated during an epidemic must recognize the importance of protection [55].
T169 11291-11500 Sentence denotes Research in Toronto, Canada, proved the willingness of people to participate in studies and the stress experienced by medical experts due to wearing of caring apparatus and being infected by disease in Canada.
T170 11501-11740 Sentence denotes As these medical experts were involved in attempting to cure a disease about which they had little knowledge, they were worried that they would be next targets when they saw their coworkers becoming sick and dying due to the epidemic [56].
T171 11741-11855 Sentence denotes Lack of trust in government was observed in the public in Korea when attempting to control the MERS epidemic [57].
T172 11856-12049 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 12050-12137 Sentence denotes We supposed that public attitude toward epidemics affects their online social presence.
T174 12138-12253 Sentence denotes In China, people are willing to share news and have positive attitudes when sharing the good news about protection.
T175 12254-12288 Sentence denotes So, we hypothesized the following:
T176 12289-12391 Sentence denotes Hypothesis 3b (H3b):  Attitude toward epidemic outbreak considerably affects online social presence.
T177 12392-12550 Sentence denotes The attitude of the public toward a situation impacts their online social presence and affects the role of E-Govt and 2019-nCoV-WOM on online social presence.
T178 12551-12664 Sentence denotes This means that if the attitude of the public is positive, it mediates role of E-Govt and online social presence.
T179 12665-12693 Sentence denotes Hence, we hypothesized that:
T180 12694-12835 Sentence denotes Hypothesis 4c (H4c):  Attitude toward epidemic outbreak mediates the association between COVID-19 word of mouth and online social presence.
T181 12836-12979 Sentence denotes Hypothesis 5b (H5b):  Attitude toward epidemic outbreak mediates the association between the role of E-government and online social presence.
T182 12981-12985 Sentence denotes 2.5.
T183 12986-13029 Sentence denotes Online Social Presence in Epidemic Outbreak
T184 13030-13212 Sentence denotes According to social presence theory [58], social presence is about intimacy, feeling of closeness, familiarity, immediacy, and urgency to exchange information and motives in society.
T185 13213-13293 Sentence denotes Online social presence is important during epidemic outbreak quarantine periods.
T186 13294-13397 Sentence denotes It not only plays an important role in the coordination of society but also in the creation of motives.
T187 13398-13499 Sentence denotes Online social presence is predicted by online streaming, mediating communal television pleasure [26].
T188 13500-13650 Sentence denotes Among the magnitudes of social presence (telepresence and social presence), online social presence indirectly plays a role in the mediating direction.
T189 13651-13784 Sentence denotes Findings encouraged innovative marketing policy through which participation can be optimistic by refining presence fundamentals [59].
T190 13785-13877 Sentence denotes People are more attracted toward celebrities, which strengthens online social presence [60].
T191 13878-13999 Sentence denotes So, if celebrities are active during outbreak periods, they can motivate people to increase their online social presence.
T192 14000-14183 Sentence denotes In addition, human sympathy is apparent on online sites and especially social sites, representing their online social presence and recognizing their interactions and feelings [58,61].
T193 14184-14339 Sentence denotes The capability of a platform to deliver personal indications and increase online social presence willingness [59] is interceded by useful commitments [62].
T194 14340-14451 Sentence denotes Every website provides specific confidentiality, which is expressively affected by online social presence [63].
T195 14452-14617 Sentence denotes Private platforms are facilitated by online social presence [64], so we predicted that they also affect the online response of people in quarantine during epidemics.
T196 14618-14710 Sentence denotes Sociability, pleasure, and belief are emotive reactions that reconcile social presence [59].
T197 14711-14798 Sentence denotes These three responses were felt across the Chinese nation during the COVID-19 outbreak.
T198 14799-14928 Sentence denotes People believe that we will overcome this deadly virus and people were seen to be more emotional and social during this pandemic.
T199 14929-15031 Sentence denotes Online social presence varies from their level of appointment, which reveals intellectual burden [65].
T200 15032-15094 Sentence denotes Contribution by people is inspired by their social value [66].
T201 15095-15293 Sentence denotes Addiction to social networking sites (SNS) also improves online social presence and increases people’s pleasure when interacting socially, also improving social communication and gratification [26].
T202 15294-15351 Sentence denotes Online social presence influences online engagement [67].