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PMC:7047374 / 3781-17052 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
68 43-53 Species denotes SARS-CoV-2 Tax:2697049
69 80-88 Disease denotes COVID-19 MESH:C000657245
71 1104-1110 Species denotes People Tax:9606
78 1696-1704 Disease denotes infected MESH:D007239
79 1758-1763 Disease denotes death MESH:D003643
80 1946-1955 Disease denotes infection MESH:D007239
81 1973-1975 Disease denotes ωB
82 2009-2018 Disease denotes infection MESH:D007239
83 2055-2063 Disease denotes infected MESH:D007239
91 2667-2670 Gene denotes βBH Gene:8846
92 2241-2249 Disease denotes infected MESH:D007239
93 2305-2310 Disease denotes death MESH:D003643
94 2462-2471 Disease denotes infection MESH:D007239
95 2489-2491 Disease denotes ωH
96 2526-2535 Disease denotes infection MESH:D007239
97 2572-2580 Disease denotes infected MESH:D007239
107 3150-3152 Gene denotes μP Gene:100129193
108 2697-2707 Species denotes SARS-CoV-2 Tax:2697049
109 2863-2873 Species denotes SARS-CoV-2 Tax:2697049
110 2929-2939 Species denotes SARS-CoV-2 Tax:2697049
111 3063-3069 Species denotes people Tax:9606
112 3096-3102 Species denotes people Tax:9606
113 3054-3062 Disease denotes infected MESH:D007239
114 3087-3095 Disease denotes infected MESH:D007239
115 3291-3293 Disease denotes εW
134 3339-3345 Species denotes people Tax:9606
135 3395-3401 Species denotes people Tax:9606
136 3416-3422 Species denotes people Tax:9606
137 3450-3456 Species denotes people Tax:9606
138 3485-3491 Species denotes people Tax:9606
139 3510-3516 Species denotes people Tax:9606
140 3552-3558 Species denotes people Tax:9606
141 3593-3599 Species denotes people Tax:9606
142 3700-3706 Species denotes people Tax:9606
143 3751-3756 Species denotes human Tax:9606
144 3441-3449 Disease denotes infected MESH:D007239
145 3476-3484 Disease denotes infected MESH:D007239
146 3546-3551 Disease denotes death MESH:D003643
147 3579-3584 Disease denotes death MESH:D003643
148 3757-3766 Disease denotes infection MESH:D007239
149 3793-3796 Disease denotes ω’P MESH:C000656865
150 3895-3904 Disease denotes infection MESH:D007239
151 3939-3947 Disease denotes infected MESH:D007239
153 4192-4198 Species denotes People Tax:9606
156 1453-1459 Species denotes People Tax:9606
157 1503-1512 Disease denotes infection MESH:D007239
176 5172-5174 Gene denotes μP Gene:100129193
177 4495-4501 Species denotes people Tax:9606
178 4576-4582 Species denotes people Tax:9606
179 4684-4690 Species denotes people Tax:9606
180 4718-4724 Species denotes people Tax:9606
181 4851-4857 Species denotes people Tax:9606
182 4915-4921 Species denotes people Tax:9606
183 5344-5350 Species denotes people Tax:9606
184 4961-4964 Gene denotes βBH Gene:8846
185 4509-4514 Disease denotes death MESH:D003643
186 4535-4540 Disease denotes death MESH:D003643
187 4562-4567 Disease denotes death MESH:D003643
188 4585-4587 Disease denotes ωB
189 4620-4622 Disease denotes ωH
190 4693-4696 Disease denotes ω’P MESH:C000656865
191 4838-4847 Disease denotes infection MESH:D007239
192 4902-4911 Disease denotes infection MESH:D007239
193 5326-5335 Disease denotes infection MESH:D007239
195 4349-4355 Species denotes People Tax:9606
197 5437-5443 Species denotes people Tax:9606
199 5491-5501 Species denotes SARS-CoV-2 Tax:2697049
201 6210-6220 Species denotes SARS-CoV-2 Tax:2697049
205 7698-7704 Species denotes people Tax:9606
206 7842-7848 Species denotes people Tax:9606
207 7631-7636 Disease denotes death MESH:D003643
209 7938-7944 Species denotes people Tax:9606
211 10006-10016 Species denotes SARS-CoV-2 Tax:2697049
215 10107-10117 Species denotes SARS-CoV-2 Tax:2697049
216 10170-10190 Disease denotes secondary infections MESH:D060085
217 10229-10237 Disease denotes infected MESH:D007239
219 10766-10769 Disease denotes ω’P MESH:C000656865
221 11045-11053 Species denotes patients Tax:9606
223 11305-11314 Disease denotes infection MESH:D007239
227 11465-11474 Disease denotes infection MESH:D007239
228 11529-11538 Disease denotes infection MESH:D007239
229 11573-11582 Disease denotes infection MESH:D007239
234 11971-11977 Species denotes people Tax:9606
235 12122-12128 Species denotes people Tax:9606
236 12569-12575 Species denotes people Tax:9606
237 12782-12788 Species denotes people Tax:9606
239 13074-13084 Species denotes SARS-CoV-2 Tax:2697049

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 1640-1652 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T2 2183-2195 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T3 3266-3277 Body_part denotes compartment http://purl.org/sig/ont/fma/fma76577
T4 3369-3381 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T5 11785-11789 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T6 11998-12002 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T7 13091-13094 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T24 43-51 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T25 43-47 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T26 80-88 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 957-959 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T28 1074-1076 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T29 1503-1512 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T30 1691-1693 Disease denotes EB http://purl.obolibrary.org/obo/MONDO_0006541
T31 1734-1736 Disease denotes RB http://purl.obolibrary.org/obo/MONDO_0008380
T32 1836-1838 Disease denotes NB http://purl.obolibrary.org/obo/MONDO_0005072
T33 1879-1881 Disease denotes NB http://purl.obolibrary.org/obo/MONDO_0005072
T34 1946-1955 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T35 1984-1994 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T36 2009-2018 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T37 2462-2471 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T38 2500-2510 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T39 2526-2535 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T40 2668-2670 Disease denotes BH http://purl.obolibrary.org/obo/MONDO_0010873
T41 2697-2705 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T42 2697-2701 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T43 2863-2871 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T44 2863-2867 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T45 2929-2937 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T46 2929-2933 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T47 3424-3426 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T48 3757-3766 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T49 3802-3812 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T50 3895-3904 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T51 4734-4744 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T52 4769-4779 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T53 4805-4815 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T54 4838-4847 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T55 4868-4878 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T56 4902-4911 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T57 4962-4964 Disease denotes BH http://purl.obolibrary.org/obo/MONDO_0010873
T58 5326-5335 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T59 5491-5499 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T60 5491-5495 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T61 6210-6218 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T62 6210-6214 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T63 7485-7487 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T64 7525-7527 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T65 7548-7552 Disease denotes P′AP http://purl.obolibrary.org/obo/MONDO_0001437|http://purl.obolibrary.org/obo/MONDO_0012579
T67 7568-7572 Disease denotes P′AP http://purl.obolibrary.org/obo/MONDO_0001437|http://purl.obolibrary.org/obo/MONDO_0012579
T69 10006-10014 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T70 10006-10010 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T71 10107-10115 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T72 10107-10111 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T73 10180-10190 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T74 11179-11189 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T75 11305-11314 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T76 11465-11474 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T77 11529-11538 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T78 11573-11582 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T79 11625-11634 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T80 13074-13082 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T81 13074-13078 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T39 134-135 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 177-179 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T41 177-179 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T42 304-306 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T43 1035-1037 http://purl.obolibrary.org/obo/CLO_0009877 denotes NY
T44 1083-1087 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T45 1249-1254 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T46 1277-1281 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T47 1341-1348 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animals
T48 1446-1451 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T49 1612-1616 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T50 1666-1670 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T51 1685-1689 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T52 1691-1693 http://purl.obolibrary.org/obo/CLO_0002867 denotes EB
T53 1705-1709 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T54 1728-1732 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T55 1772-1776 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T56 1800-1802 http://purl.obolibrary.org/obo/PR_000010213 denotes mB
T57 1868-1872 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T58 1911-1915 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T59 1942-1945 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T60 1974-1975 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T61 2005-2008 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T62 2037-2038 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T63 2142-2143 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T64 2281-2283 http://purl.obolibrary.org/obo/CLO_0008812 denotes RH
T65 2348-2350 http://purl.obolibrary.org/obo/CLO_0007706 denotes mH
T66 2833-2834 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 3120-3125 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T68 3202-3203 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 3225-3230 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T70 3281-3282 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 3328-3333 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T72 3493-3495 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T73 3616-3618 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T74 3654-3656 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T75 3659-3661 http://purl.obolibrary.org/obo/CLO_0008192 denotes NP
T76 3668-3670 http://purl.obolibrary.org/obo/CLO_0008192 denotes NP
T77 3751-3756 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T78 3830-3832 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T79 4103-4105 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T80 4171-4175 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T81 4328-4332 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T82 4422-4426 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T83 4464-4466 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T84 4502-4504 http://purl.obolibrary.org/obo/PR_000010213 denotes mB
T85 4523-4527 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T86 4528-4530 http://purl.obolibrary.org/obo/CLO_0007706 denotes mH
T87 4586-4587 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T88 4613-4617 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T89 4728-4729 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T90 4755-4759 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T91 4923-4924 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T92 5117-5118 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T93 5249-5251 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T94 5281-5286 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T95 5393-5395 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T96 5545-5546 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T97 5643-5647 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T98 6762-6763 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T99 6858-6859 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T100 7111-7114 http://www.ebi.ac.uk/efo/EFO_0000265 denotes d{A
T101 7201-7202 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T102 7278-7279 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T103 7353-7354 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T104 7440-7442 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T105 7462-7464 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T106 7550-7552 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T107 7570-7572 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T108 7667-7668 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T109 7811-7813 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T110 7949-7956 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T111 8423-8424 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T112 8551-8552 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T113 8586-8587 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T114 8673-8675 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T115 8810-8812 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T116 9202-9203 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T117 9233-9234 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T118 9246-9247 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T119 9280-9281 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T120 9311-9312 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T121 9324-9325 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T122 9537-9540 http://www.ebi.ac.uk/efo/EFO_0000265 denotes d{a
T123 9627-9628 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T124 9703-9704 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T125 9763-9764 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T126 9829-9831 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T127 9845-9847 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T128 9867-9869 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T129 9955-9957 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T130 10220-10221 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T131 10472-10474 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T132 10789-10790 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T133 10859-10860 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T134 11042-11044 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T135 11112-11113 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T136 11322-11327 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T137 11636-11638 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T138 11687-11689 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T139 11764-11767 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T140 11941-11942 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T141 11987-11993 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T142 12521-12523 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T143 12546-12550 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T144 12626-12628 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T145 12851-12853 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T146 13030-13035 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T147 13095-13100 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T148 13157-13158 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T149 13196-13197 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T5 177-179 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145
T6 1035-1037 Chemical denotes NY http://purl.obolibrary.org/obo/CHEBI_73427
T7 1691-1693 Chemical denotes EB http://purl.obolibrary.org/obo/CHEBI_53197
T8 2216-2218 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T10 2257-2259 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T11 2281-2283 Chemical denotes RH http://purl.obolibrary.org/obo/CHEBI_18310
T12 2384-2386 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T14 2393-2395 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T16 2561-2563 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T18 2620-2622 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T19 2895-2897 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T20 2898-2900 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T22 2978-2980 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T24 2987-2989 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T26 3403-3405 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T27 3424-3426 Chemical denotes EP http://purl.obolibrary.org/obo/CHEBI_73508
T28 3458-3460 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T29 3493-3495 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T32 3518-3520 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T33 3659-3661 Chemical denotes NP http://purl.obolibrary.org/obo/CHEBI_50803|http://purl.obolibrary.org/obo/CHEBI_53793|http://purl.obolibrary.org/obo/CHEBI_73425
T36 3668-3670 Chemical denotes NP http://purl.obolibrary.org/obo/CHEBI_50803|http://purl.obolibrary.org/obo/CHEBI_53793|http://purl.obolibrary.org/obo/CHEBI_73425
T39 3823-3825 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T40 3830-3832 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T43 3928-3930 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T44 3986-3988 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T45 4103-4105 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T48 4126-4128 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T49 4998-5000 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T51 5031-5033 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T52 5037-5039 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T54 5070-5072 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
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T70 7062-7067 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
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LitCovid-sentences

Id Subject Object Predicate Lexical cue
T27 0-7 Sentence denotes Methods
T28 9-20 Sentence denotes Data source
T29 21-161 Sentence denotes The reported cases of SARS-CoV-2, which have been named as COVID-19, were collected for the modelling study from a published literature [3].
T30 162-308 Sentence denotes As reported by Li et al. [3], the onset date of the first case was on 7 December, 2020, and the seafood market was closed on 1 January, 2020 [11].
T31 309-437 Sentence denotes The epidemic curve from 7 December, 2019 to 1 January, 2020 was collected for our study, and the simulation time step was 1 day.
T32 439-482 Sentence denotes Simulation methods and statistical analysis
T33 483-595 Sentence denotes Berkeley Madonna 8.3.18 (developed by Robert Macey and George Oster of the University of California at Berkeley.
T34 596-625 Sentence denotes Copyright©1993–2001 Robert I.
T35 626-643 Sentence denotes Macey & George F.
T36 644-686 Sentence denotes Oster) was employed for the curve fitting.
T37 687-787 Sentence denotes The fourth-order Runge–Kutta method, with tolerance set at 0.001, was used to perform curve fitting.
T38 788-922 Sentence denotes While the curve fitting is in progress, Berkeley Madonna displays the root mean square deviation between the data and best run so far.
T39 923-1004 Sentence denotes The coefficient of determination (R2) was employed to assess the goodness-of-fit.
T40 1005-1077 Sentence denotes SPSS 13.0 (IBM Corp., Armonk, NY, USA) was employed to calculate the R2.
T41 1079-1144 Sentence denotes The Bats-Hosts-Reservoir-People (BHRP) transmission network model
T42 1145-1228 Sentence denotes The BHRP transmission network model was posted to bioRxiv on 19 January, 2020 [12].
T43 1229-1350 Sentence denotes We assumed that the virus transmitted among the bats, and then transmitted to unknown hosts (probably some wild animals).
T44 1351-1452 Sentence denotes The hosts were hunted and sent to the seafood market which was defined as the reservoir of the virus.
T45 1453-1522 Sentence denotes People exposed to the market got the risks of the infection (Fig. 1).
T46 1523-1607 Sentence denotes The BHRP transmission network model was based on the following assumptions or facts:
T47 1608-1738 Sentence denotes The bats were divided into four compartments: susceptible bats (SB), exposed bats (EB), infected bats (IB), and removed bats (RB).
T48 1739-1803 Sentence denotes The birth rate and death rate of bats were defined as nB and mB.
T49 1804-1916 Sentence denotes In this model, we set ɅB = nB × NB as the number of the newborn bats where NB refer to the total number of bats.
T50 1917-2039 Sentence denotes The incubation period of bat infection was defined as 1/ωB and the infectious period of bat infection was defined as 1/γB.
T51 2040-2144 Sentence denotes The SB will be infected through sufficient contact with IB, and the transmission rate was defined as βB.
T52 2145-2285 Sentence denotes The hosts were also divided into four compartments: susceptible hosts (SH), exposed hosts (EH), infected hosts (IH), and removed hosts (RH).
T53 2286-2351 Sentence denotes The birth rate and death rate of hosts were defined as nH and mH.
T54 2352-2431 Sentence denotes In this model, we set ɅH = nH × NH where NH refer to the total number of hosts.
T55 2432-2556 Sentence denotes The incubation period of host infection was defined as 1/ωH and the infectious period of host infection was defined as 1/γH.
T56 2557-2692 Sentence denotes The SH will be infected through sufficient contact with IB and IH, and the transmission rates were defined as βBH and βH, respectively.
T57 2693-2759 Sentence denotes The SARS-CoV-2 in reservoir (the seafood market) was denoted as W.
T58 2760-3020 Sentence denotes We assumed that the retail purchases rate of the hosts in the market was a, and that the prevalence of SARS-CoV-2 in the purchases was IH/NH, therefore, the rate of the SARS-CoV-2 in W imported form the hosts was aWIH/NH where NH was the total number of hosts.
T59 3021-3220 Sentence denotes We also assumed that symptomatic infected people and asymptomatic infected people could export the virus into W with the rate of μP and μ’P, although this assumption might occur in a low probability.
T60 3221-3334 Sentence denotes The virus in W will subsequently leave the W compartment at a rate of εW, where 1/ε is the lifetime of the virus.
T61 3335-3559 Sentence denotes The people were divided into five compartments: susceptible people (SP), exposed people (EP), symptomatic infected people (IP), asymptomatic infected people (AP), and removed people (RP) including recovered and death people.
T62 3560-3626 Sentence denotes The birth rate and death rate of people were defined as nP and mP.
T63 3627-3707 Sentence denotes In this model, we set ɅP = nP × NP where NP refer to the total number of people.
T64 3708-3797 Sentence denotes The incubation period and latent period of human infection was defined as 1/ωP and 1/ω’P.
T65 3798-3863 Sentence denotes The infectious period of IP and AP was defined as 1/γP and 1/γ’P.
T66 3864-3923 Sentence denotes The proportion of asymptomatic infection was defined as δP.
T67 3924-4057 Sentence denotes The SP will be infected through sufficient contact with W and IP, and the transmission rates were defined as βW and βP, respectively.
T68 4058-4146 Sentence denotes We also assumed that the transmissibility of AP was κ times that of IP, where 0 ≤ κ ≤ 1.
T69 4147-4225 Sentence denotes Fig. 1 Flowchart of the Bats-Hosts-Reservoir-People transmission network model
T70 4226-4281 Sentence denotes The parameters of the BHRP model were shown in Table 1.
T71 4282-4368 Sentence denotes Table 1 Definition of those parameters in the Bats-Hosts-Reservoir-People (BHRP) model
T72 4369-4390 Sentence denotes Parameter Description
T73 4391-4426 Sentence denotes nB The birth rate parameter of bats
T74 4427-4463 Sentence denotes nH The birth rate parameter of hosts
T75 4464-4501 Sentence denotes nP The birth rate parameter of people
T76 4502-4527 Sentence denotes mB The death rate of bats
T77 4528-4554 Sentence denotes mH The death rate of hosts
T78 4555-4582 Sentence denotes mP The death rate of people
T79 4583-4617 Sentence denotes 1/ωB The incubation period of bats
T80 4618-4653 Sentence denotes 1/ωH The incubation period of hosts
T81 4654-4690 Sentence denotes 1/ωP The incubation period of people
T82 4691-4724 Sentence denotes 1/ω’P The latent period of people
T83 4725-4759 Sentence denotes 1/γB The infectious period of bats
T84 4760-4795 Sentence denotes 1/γH The infectious period of hosts
T85 4796-4857 Sentence denotes 1/γP The infectious period of symptomatic infection of people
T86 4858-4921 Sentence denotes 1/γ’P The infectious period of asymptomatic infection of people
T87 4922-4960 Sentence denotes βB The transmission rate from IB to SB
T88 4961-5000 Sentence denotes βBH The transmission rate from IB to SH
T89 5001-5039 Sentence denotes βH The transmission rate from IH to SH
T90 5040-5078 Sentence denotes βP The transmission rate from IP to SP
T91 5079-5116 Sentence denotes βW The transmission rate from W to SP
T92 5117-5171 Sentence denotes a The retail purchases rate of the hosts in the market
T93 5172-5213 Sentence denotes μP The shedding coefficients from IP to W
T94 5214-5256 Sentence denotes μ’P The shedding coefficients from AP to W
T95 5257-5291 Sentence denotes 1/ε The lifetime of the virus in W
T96 5292-5350 Sentence denotes δP The proportion of asymptomatic infection rate of people
T97 5351-5410 Sentence denotes κ The multiple of the transmissibility of AP to that of IP.
T98 5412-5470 Sentence denotes The simplified reservoir-people transmission network model
T99 5471-5558 Sentence denotes We assumed that the SARS-CoV-2 might be imported to the seafood market in a short time.
T100 5559-5614 Sentence denotes Therefore, we added the further assumptions as follows:
T101 5615-5665 Sentence denotes The transmission network of Bats-Host was ignored.
T102 5666-6147 Sentence denotes Based on our previous studies on simulating importation [13, 14], we set the initial value of W as following impulse function: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ Importation= impulse\left(n,{t}_0,{t}_i\right) $$\end{document}Importation=impulsent0ti
T103 6148-6302 Sentence denotes In the function, n, t0 and ti refer to imported volume of the SARS-CoV-2 to the market, start time of the simulation, and the interval of the importation.
T104 6303-7575 Sentence denotes Therefore, the BHRP model was simplified as RP model and is shown as follows: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \left\{\kern0.5em \begin{array}{c}\frac{d{S}_P}{dt}={\varLambda}_P-{m}_P{S}_P-{\beta}_P{S}_P\left({I}_P+\upkappa {A}_P\right)-{\beta}_W{S}_PW\kern11em \\ {}\frac{d{E}_P}{dt}={\beta}_P{S}_P\left({I}_P+\upkappa {A}_P\right)+{\beta}_W{S}_PW-\left(1-{\delta}_P\right){\upomega}_P{E}_P-{\delta}_P{\upomega}_P^{\prime }{E}_P-{m}_P{E}_P\kern0.5em \\ {}\frac{d{I}_P}{dt}=\left(1-{\delta}_P\right){\upomega}_P{E}_P-\left({\gamma}_P+{m}_P\right){I}_P\kern16.5em \\ {}\frac{d{A}_P}{dt}={\delta}_P{\upomega}_P^{\prime }{E}_P-\left({\gamma}_P^{\prime }+{m}_P\right){A}_P\kern18.75em \\ {}\frac{d{R}_P}{dt}={\gamma}_P{I}_P+{\gamma}_P^{\prime }{A}_P-{m}_P{R}_P\kern20em \\ {}\frac{dW}{dt}={\mu}_P{I}_P+{\mu}_P^{\prime }{A}_P-\varepsilon W\kern20.5em \end{array}\right. $$\end{document}dSPdt=ΛP−mPSP−βPSPIP+κAP−βWSPWdEPdt=βPSPIP+κAP+βWSPW−1−δPωPEP−δPωP′EP−mPEPdIPdt=1−δPωPEP−γP+mPIPdAPdt=δPωP′EP−γP′+mPAPdRPdt=γPIP+γP′AP−mPRPdWdt=μPIP+μP′AP−εW
T105 7576-7688 Sentence denotes During the outbreak period, the natural birth rate and death rate in the population was in a relative low level.
T106 7689-7799 Sentence denotes However, people would commonly travel into and out from Wuhan City mainly due to the Chinese New Year holiday.
T107 7800-7923 Sentence denotes Therefore, nP and mP refer to the rate of people traveling into Wuhan City and traveling out from Wuhan City, respectively.
T108 7924-7983 Sentence denotes In the model, people and viruses have different dimensions.
T109 7984-8728 Sentence denotes Based on our previous research [15], we therefore used the following sets to perform the normalization: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {s}_P=\frac{S_P}{N_P},{e}_P=\frac{E_P}{N_P},{i}_P=\frac{I_P}{N_P}, {a}_P=\frac{A_P}{N_P},{r}_P=\frac{R_P}{N_P},w=\frac{\varepsilon W}{\mu_P{N}_P},\kern0.5em {\mu}_P^{\prime }=c{\mu}_P,\kern0.5em {b}_P={\beta}_P{N}_P,\mathrm{and}\ {b}_W=\frac{\mu_P{\beta}_W{N}_P}{\varepsilon .} $$\end{document}sP=SPNP,eP=EPNP,iP=IPNP,aP=APNP,rP=RPNP,w=εWμPNP,μP′=cμP,bP=βPNP,andbW=μPβWNPε.
T110 8729-8828 Sentence denotes In the normalization, parameter c refers to the relative shedding coefficient of AP compared to IP.
T111 8829-9976 Sentence denotes The normalized RP model is changed as follows: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \left\{\begin{array}{c}\frac{d{s}_P}{dt}={n}_P-{m}_P{s}_P-{b}_P{s}_P\left({i}_P+\upkappa {a}_P\right)-{b}_W{s}_Pw\\ {}\frac{d{e}_P}{dt}={b}_P{s}_P\left({i}_P+\upkappa {a}_P\right)+{b}_W{s}_Pw-\left(1-{\delta}_P\right){\upomega}_P{e}_P-{\delta}_P{\upomega}_P^{\prime }{e}_P-{m}_P{e}_P\\ {}\frac{d{i}_P}{dt}=\left(1-{\delta}_P\right){\upomega}_P{e}_P-\left({\gamma}_P+{m}_P\right){i}_P\\ {}\frac{d{a}_P}{dt}={\delta}_P{\upomega}_P^{\prime }{e}_P-\left({\gamma}_P^{\prime }+{m}_P\right){a}_P\kern26.5em \\ {}\frac{d{r}_P}{dt}={\gamma}_P{i}_P+{\gamma}_P^{\prime }{a}_P-{m}_P{r}_P\\ {}\frac{dw}{dt}=\varepsilon \left({i}_P+c{a}_P-w\right)\kern28.2em \end{array}\right. $$\end{document}dsPdt=nP−mPsP−bPsPiP+κaP−bWsPwdePdt=bPsPiP+κaP+bWsPw−1−δPωPeP−δPωP′eP−mPePdiPdt=1−δPωPeP−γP+mPiPdaPdt=δPωP′eP−γP′+mPaPdrPdt=γPiP+γP′aP−mPrPdwdt=εiP+caP−w
T112 9978-10038 Sentence denotes The transmissibility of the SARS-CoV-2 based on the RP model
T113 10039-10118 Sentence denotes In this study, we used the R0 to assess the transmissibility of the SARS-CoV-2.
T114 10119-10303 Sentence denotes Commonly, R0 was defined as the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population [13, 16, 17].
T115 10304-10339 Sentence denotes If R0 > 1, the outbreak will occur.
T116 10340-10383 Sentence denotes If R0 < 1, the outbreak will toward an end.
T117 10384-10476 Sentence denotes In this study, R0 was deduced from the RP model by the next generation matrix approach [18].
T118 10478-10498 Sentence denotes Parameter estimation
T119 10499-10574 Sentence denotes The parameters were estimated based on the following facts and assumptions:
T120 10575-10645 Sentence denotes The mean incubation period was 5.2 days (95% confidence interval [CI]:
T121 10646-10659 Sentence denotes 4.1–7.0) [3].
T122 10660-10754 Sentence denotes We set the same value (5.2 days) of the incubation period and the latent period in this study.
T123 10755-10779 Sentence denotes Thus, ωP = ω’P = 0.1923.
T124 10780-10978 Sentence denotes There is a mean 5-day delay from symptom onset to detection/hospitalization of a case (the cases detected in Thailand and Japan were hospitalized from 3 to 7 days after onset, respectively) [19–21].
T125 10979-11139 Sentence denotes The duration from illness onset to first medical visit for the 45 patients with illness onset before January 1 was estimated to have a mean of 5.8 days (95% CI:
T126 11140-11153 Sentence denotes 4.3–7.5) [3].
T127 11154-11222 Sentence denotes In our model, we set the infectious period of the cases as 5.8 days.
T128 11223-11246 Sentence denotes Therefore, γP = 0.1724.
T129 11247-11393 Sentence denotes Since there was no data on the proportion of asymptomatic infection of the virus, we simulated the baseline value of proportion of 0.5 (δP = 0.5).
T130 11394-11640 Sentence denotes Since there was no evidence about the transmissibility of asymptomatic infection, we assumed that the transmissibility of asymptomatic infection was 0.5 times that of symptomatic infection (κ = 0.5), which was the similar value as influenza [22].
T131 11641-11713 Sentence denotes We assumed that the relative shedding rate of AP compared to IP was 0.5.
T132 11714-11728 Sentence denotes Thus, c = 0.5.
T133 11729-11922 Sentence denotes Since 14 January, 2020, Wuhan City has strengthened the body temperature detection of passengers leaving Wuhan at airports, railway stations, long-distance bus stations and passenger terminals.
T134 11923-12020 Sentence denotes As of January 17, a total of nearly 0.3 million people had been tested for body temperature [23].
T135 12021-12083 Sentence denotes In Wuhan, there are about 2.87 million mobile population [24].
T136 12084-12325 Sentence denotes We assumed that there was 0.1 million people moving out to Wuhan City per day since January 10, 2020, and we believe that this number would increase (mainly due to the winter vacation and the Chinese New Year holiday) until 24 January, 2020.
T137 12326-12407 Sentence denotes This means that the 2.87 million would move out from Wuhan City in about 14 days.
T138 12408-12480 Sentence denotes Therefore, we set the moving volume of 0.2 million per day in our model.
T139 12481-12638 Sentence denotes Since the population of Wuhan was about 11 million at the end of 2018 [25], the rate of people traveling out from Wuhan City would be 0.018 (0.2/11) per day.
T140 12639-12751 Sentence denotes However, we assumed that the normal population mobility before January 1 was 0.1 times as that after January 10.
T141 12752-12869 Sentence denotes Therefore, we set the rate of people moving into and moving out from Wuhan City as 0.0018 per day (nP = mP = 0.0018).
T142 12870-12955 Sentence denotes The parameters bP and bW were estimated by fitting the model with the collected data.
T143 12956-13063 Sentence denotes At the beginning of the simulation, we assumed that the prevalence of the virus in the market was 1/100000.
T144 13064-13255 Sentence denotes Since the SARS-CoV-2 is an RNA virus, we assumed that it could be died in the environment in a short time, but it could be stay for a longer time (10 days) in the unknown hosts in the market.
T145 13256-13271 Sentence denotes We set ε = 0.1.

2_test

Id Subject Object Predicate Lexical cue
32111262-25467086-47462507 5723-5725 25467086 denotes 13
32111262-31415559-47462508 5727-5729 31415559 denotes 14
32111262-24736407-47462509 8016-8018 24736407 denotes 15
32111262-25467086-47462510 10291-10293 25467086 denotes 13
32111262-31924848-47462511 10295-10297 31924848 denotes 16
32111262-31306888-47462512 10299-10301 31306888 denotes 17
32111262-16079251-47462513 11636-11638 16079251 denotes 22
T99805 5723-5725 25467086 denotes 13
T53159 5727-5729 31415559 denotes 14
T22671 8016-8018 24736407 denotes 15
T63646 10291-10293 25467086 denotes 13
T96528 10295-10297 31924848 denotes 16
T77535 10299-10301 31306888 denotes 17
T95670 11636-11638 16079251 denotes 22