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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
5 161-178 Species denotes novel coronavirus Tax:2697049
6 180-189 Species denotes 2019-nCoV Tax:2697049
7 334-381 Species denotes severe acute respiratory syndrome coronavirus 2 Tax:2697049
8 383-393 Species denotes SARS-CoV-2 Tax:2697049
9 238-247 Disease denotes pneumonia MESH:D011014
17 627-633 Species denotes People Tax:9606
18 755-760 Species denotes human Tax:9606
19 945-951 Species denotes people Tax:9606
20 990-996 Species denotes People Tax:9606
21 1182-1192 Species denotes SARS-CoV-2 Tax:2697049
22 712-721 Disease denotes infection MESH:D007239
23 761-770 Disease denotes infection MESH:D007239
26 1337-1357 Disease denotes secondary infections MESH:D060085
27 1396-1404 Disease denotes infected MESH:D007239
31 1526-1536 Species denotes SARS-CoV-2 Tax:2697049
32 1631-1664 Disease denotes severe acute respiratory syndrome MESH:D045169
33 1681-1685 Disease denotes MERS MESH:D018352
42 1946-1963 Species denotes novel coronavirus Tax:2697049
43 1965-1974 Species denotes 2019-nCoV Tax:2697049
44 1996-2043 Species denotes severe acute respiratory syndrome coronavirus 2 Tax:2697049
45 2045-2055 Species denotes SARS-CoV-2 Tax:2697049
46 2626-2632 Species denotes people Tax:9606
47 1827-1836 Disease denotes pneumonia MESH:D011014
48 2437-2446 Disease denotes infection MESH:D007239
49 2637-2645 Disease denotes infected MESH:D007239
51 3173-3179 Species denotes people Tax:9606
59 3276-3282 Species denotes People Tax:9606
60 3411-3416 Species denotes human Tax:9606
61 3601-3607 Species denotes people Tax:9606
62 3646-3652 Species denotes People Tax:9606
63 3768-3778 Species denotes SARS-CoV-2 Tax:2697049
64 3368-3377 Disease denotes infection MESH:D007239
65 3417-3426 Disease denotes infection MESH:D007239
68 3824-3834 Species denotes SARS-CoV-2 Tax:2697049
69 3861-3869 Disease denotes COVID-19 MESH:C000657245
71 4885-4891 Species denotes People Tax:9606
78 5477-5485 Disease denotes infected MESH:D007239
79 5539-5544 Disease denotes death MESH:D003643
80 5727-5736 Disease denotes infection MESH:D007239
81 5754-5756 Disease denotes ωB
82 5790-5799 Disease denotes infection MESH:D007239
83 5836-5844 Disease denotes infected MESH:D007239
91 6448-6451 Gene denotes βBH Gene:8846
92 6022-6030 Disease denotes infected MESH:D007239
93 6086-6091 Disease denotes death MESH:D003643
94 6243-6252 Disease denotes infection MESH:D007239
95 6270-6272 Disease denotes ωH
96 6307-6316 Disease denotes infection MESH:D007239
97 6353-6361 Disease denotes infected MESH:D007239
107 6931-6933 Gene denotes μP Gene:100129193
108 6478-6488 Species denotes SARS-CoV-2 Tax:2697049
109 6644-6654 Species denotes SARS-CoV-2 Tax:2697049
110 6710-6720 Species denotes SARS-CoV-2 Tax:2697049
111 6844-6850 Species denotes people Tax:9606
112 6877-6883 Species denotes people Tax:9606
113 6835-6843 Disease denotes infected MESH:D007239
114 6868-6876 Disease denotes infected MESH:D007239
115 7072-7074 Disease denotes εW
134 7120-7126 Species denotes people Tax:9606
135 7176-7182 Species denotes people Tax:9606
136 7197-7203 Species denotes people Tax:9606
137 7231-7237 Species denotes people Tax:9606
138 7266-7272 Species denotes people Tax:9606
139 7291-7297 Species denotes people Tax:9606
140 7333-7339 Species denotes people Tax:9606
141 7374-7380 Species denotes people Tax:9606
142 7481-7487 Species denotes people Tax:9606
143 7532-7537 Species denotes human Tax:9606
144 7222-7230 Disease denotes infected MESH:D007239
145 7257-7265 Disease denotes infected MESH:D007239
146 7327-7332 Disease denotes death MESH:D003643
147 7360-7365 Disease denotes death MESH:D003643
148 7538-7547 Disease denotes infection MESH:D007239
149 7574-7577 Disease denotes ω’P MESH:C000656865
150 7676-7685 Disease denotes infection MESH:D007239
151 7720-7728 Disease denotes infected MESH:D007239
153 7973-7979 Species denotes People Tax:9606
156 5234-5240 Species denotes People Tax:9606
157 5284-5293 Disease denotes infection MESH:D007239
176 8953-8955 Gene denotes μP Gene:100129193
177 8276-8282 Species denotes people Tax:9606
178 8357-8363 Species denotes people Tax:9606
179 8465-8471 Species denotes people Tax:9606
180 8499-8505 Species denotes people Tax:9606
181 8632-8638 Species denotes people Tax:9606
182 8696-8702 Species denotes people Tax:9606
183 9125-9131 Species denotes people Tax:9606
184 8742-8745 Gene denotes βBH Gene:8846
185 8290-8295 Disease denotes death MESH:D003643
186 8316-8321 Disease denotes death MESH:D003643
187 8343-8348 Disease denotes death MESH:D003643
188 8366-8368 Disease denotes ωB
189 8401-8403 Disease denotes ωH
190 8474-8477 Disease denotes ω’P MESH:C000656865
191 8619-8628 Disease denotes infection MESH:D007239
192 8683-8692 Disease denotes infection MESH:D007239
193 9107-9116 Disease denotes infection MESH:D007239
195 8130-8136 Species denotes People Tax:9606
197 9218-9224 Species denotes people Tax:9606
199 9272-9282 Species denotes SARS-CoV-2 Tax:2697049
201 9991-10001 Species denotes SARS-CoV-2 Tax:2697049
205 11479-11485 Species denotes people Tax:9606
206 11623-11629 Species denotes people Tax:9606
207 11412-11417 Disease denotes death MESH:D003643
209 11719-11725 Species denotes people Tax:9606
211 13787-13797 Species denotes SARS-CoV-2 Tax:2697049
215 13888-13898 Species denotes SARS-CoV-2 Tax:2697049
216 13951-13971 Disease denotes secondary infections MESH:D060085
217 14010-14018 Disease denotes infected MESH:D007239
219 14547-14550 Disease denotes ω’P MESH:C000656865
221 14826-14834 Species denotes patients Tax:9606
223 15086-15095 Disease denotes infection MESH:D007239
227 15246-15255 Disease denotes infection MESH:D007239
228 15310-15319 Disease denotes infection MESH:D007239
229 15354-15363 Disease denotes infection MESH:D007239
234 15752-15758 Species denotes people Tax:9606
235 15903-15909 Species denotes people Tax:9606
236 16350-16356 Species denotes people Tax:9606
237 16563-16569 Species denotes people Tax:9606
239 16855-16865 Species denotes SARS-CoV-2 Tax:2697049
244 17163-17168 Species denotes human Tax:9606
245 17155-17158 Disease denotes ω’P MESH:C000656865
246 17169-17178 Disease denotes infection MESH:D007239
247 17190-17193 Disease denotes ω’P MESH:C000656865
251 23477-23487 Species denotes SARS-CoV-2 Tax:2697049
252 23694-23714 Disease denotes secondary infections MESH:D060085
253 23753-23761 Disease denotes infected MESH:D007239
259 24015-24025 Species denotes SARS-CoV-2 Tax:2697049
260 24181-24191 Species denotes SARS-CoV-2 Tax:2697049
261 24267-24277 Species denotes SARS-CoV-2 Tax:2697049
262 24351-24361 Species denotes SARS-CoV-2 Tax:2697049
263 24848-24858 Species denotes SARS-CoV-2 Tax:2697049
272 25792-25797 Species denotes human Tax:9606
273 26033-26043 Species denotes SARS-CoV-2 Tax:2697049
274 25297-25330 Disease denotes severe acute respiratory syndrome MESH:D045169
275 25685-25689 Disease denotes MERS MESH:D018352
276 25748-25752 Disease denotes MERS MESH:D018352
277 25891-25895 Disease denotes MERS MESH:D018352
278 26065-26069 Disease denotes MERS MESH:D018352
279 26132-26136 Disease denotes MERS MESH:D018352
288 26924-26934 Species denotes SARS-CoV-2 Tax:2697049
289 27049-27058 Disease denotes infection MESH:D007239
290 27095-27104 Disease denotes infection MESH:D007239
291 27155-27164 Disease denotes infection MESH:D007239
292 27197-27206 Disease denotes infection MESH:D007239
293 27241-27245 Disease denotes MERS MESH:D018352
294 27304-27313 Disease denotes infection MESH:D007239
295 27317-27321 Disease denotes MERS MESH:D018352
300 28305-28315 Species denotes SARS-CoV-2 Tax:2697049
301 28545-28555 Species denotes SARS-CoV-2 Tax:2697049
302 28337-28341 Disease denotes MERS MESH:D018352
303 28404-28408 Disease denotes MERS MESH:D018352
305 28843-28876 Disease denotes Severe acute respiratory syndrome MESH:D045169
307 29339-29354 Species denotes New Coronavirus Tax:2697049

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 5421-5433 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T2 5964-5976 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T3 7047-7058 Body_part denotes compartment http://purl.org/sig/ont/fma/fma76577
T4 7150-7162 Body_part denotes compartments http://purl.org/sig/ont/fma/fma76577
T5 15566-15570 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T6 15779-15783 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T7 16872-16875 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T8 18085-18099 Body_part denotes right],{V}^{-1 http://purl.org/sig/ont/fma/fma8661
T9 18351-18354 Body_part denotes V−1 http://purl.org/sig/ont/fma/fma13444|http://purl.org/sig/ont/fma/fma68614
T11 20882-20888 Body_part denotes V}^{-1 http://purl.org/sig/ont/fma/fma13444|http://purl.org/sig/ont/fma/fma68614
T13 21455-21461 Body_part denotes V}^{-1 http://purl.org/sig/ont/fma/fma13444|http://purl.org/sig/ont/fma/fma68614
T15 28055-28059 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 28055-28059 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 238-247 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T2 334-381 Disease denotes severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096
T3 334-367 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T4 383-391 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T5 383-387 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T6 712-721 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T7 761-770 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T8 1182-1190 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T9 1182-1186 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T10 1347-1357 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T11 1526-1534 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T12 1526-1530 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T13 1631-1664 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T14 1827-1836 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T15 1996-2043 Disease denotes severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096
T16 1996-2029 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T17 2045-2053 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T18 2045-2049 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T19 2437-2446 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T20 3368-3377 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T21 3417-3426 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T22 3768-3776 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T23 3768-3772 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T24 3824-3832 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T25 3824-3828 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T26 3861-3869 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 4738-4740 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T28 4855-4857 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T29 5284-5293 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T30 5472-5474 Disease denotes EB http://purl.obolibrary.org/obo/MONDO_0006541
T31 5515-5517 Disease denotes RB http://purl.obolibrary.org/obo/MONDO_0008380
T32 5617-5619 Disease denotes NB http://purl.obolibrary.org/obo/MONDO_0005072
T33 5660-5662 Disease denotes NB http://purl.obolibrary.org/obo/MONDO_0005072
T34 5727-5736 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T35 5765-5775 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T36 5790-5799 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T37 6243-6252 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T38 6281-6291 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T39 6307-6316 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T40 6449-6451 Disease denotes BH http://purl.obolibrary.org/obo/MONDO_0010873
T41 6478-6486 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T42 6478-6482 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T43 6644-6652 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T44 6644-6648 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T45 6710-6718 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T46 6710-6714 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T47 7205-7207 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T48 7538-7547 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T49 7583-7593 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T50 7676-7685 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T51 8515-8525 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T52 8550-8560 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T53 8586-8596 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T54 8619-8628 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T55 8649-8659 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T56 8683-8692 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T57 8743-8745 Disease denotes BH http://purl.obolibrary.org/obo/MONDO_0010873
T58 9107-9116 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T59 9272-9280 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T60 9272-9276 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T61 9991-9999 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T62 9991-9995 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T63 11266-11268 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T64 11306-11308 Disease denotes EP http://purl.obolibrary.org/obo/MONDO_0002754
T65 11329-11333 Disease denotes P′AP http://purl.obolibrary.org/obo/MONDO_0001437|http://purl.obolibrary.org/obo/MONDO_0012579
T67 11349-11353 Disease denotes P′AP http://purl.obolibrary.org/obo/MONDO_0001437|http://purl.obolibrary.org/obo/MONDO_0012579
T69 13787-13795 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T70 13787-13791 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T71 13888-13896 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T72 13888-13892 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T73 13961-13971 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T74 14960-14970 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T75 15086-15095 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T76 15246-15255 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T77 15310-15319 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T78 15354-15363 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T79 15406-15415 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T80 16855-16863 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T81 16855-16859 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T82 17169-17178 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T83 23477-23485 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T84 23477-23481 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T85 23500-23502 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T86 23704-23714 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T87 24015-24023 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T88 24015-24019 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T89 24181-24189 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T90 24181-24185 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T91 24267-24275 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T92 24267-24271 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T93 24351-24359 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T94 24351-24355 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T95 24848-24856 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T96 24848-24852 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T97 25297-25330 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T98 25332-25336 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T99 25431-25435 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T100 25599-25603 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T101 25710-25714 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T102 26033-26041 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T103 26033-26037 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T104 26111-26115 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T105 26924-26932 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T106 26924-26928 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T107 27049-27058 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T108 27095-27104 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T109 27155-27164 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T110 27197-27206 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T111 27250-27254 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T112 27304-27313 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T113 27326-27330 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T114 28305-28313 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T115 28305-28309 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T116 28383-28387 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T117 28545-28553 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T118 28545-28549 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T119 28720-28729 Disease denotes nCoV 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T120 28832-28840 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T121 28832-28836 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T122 28843-28890 Disease denotes Severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 0-1 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T2 72-73 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 145-157 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T4 159-160 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 223-228 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T6 315-320 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T7 437-444 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Viruses
T8 448-450 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T9 495-496 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 560-565 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T11 604-605 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 606-610 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T13 742-746 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T14 755-760 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T15 782-786 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T16 864-872 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T17 1387-1388 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T18 1762-1774 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T19 1944-1945 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 2099-2106 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Viruses
T21 2110-2112 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T22 2161-2166 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T23 2232-2237 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T24 2247-2250 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T25 2291-2296 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T26 2314-2315 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 2375-2379 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3, 4
T28 2696-2697 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 2789-2794 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T30 2826-2834 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T31 2886-2893 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T32 3108-3111 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T33 3253-3254 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 3255-3259 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T35 3398-3402 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T36 3411-3416 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T37 3438-3442 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T38 3520-3528 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T39 3915-3916 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 3958-3960 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T41 3958-3960 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T42 4085-4087 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T43 4816-4818 http://purl.obolibrary.org/obo/CLO_0009877 denotes NY
T44 4864-4868 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T45 5030-5035 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T46 5058-5062 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T47 5122-5129 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animals
T48 5227-5232 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T49 5393-5397 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T50 5447-5451 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T51 5466-5470 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T52 5472-5474 http://purl.obolibrary.org/obo/CLO_0002867 denotes EB
T53 5486-5490 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T54 5509-5513 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T55 5553-5557 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T56 5581-5583 http://purl.obolibrary.org/obo/PR_000010213 denotes mB
T57 5649-5653 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T58 5692-5696 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T59 5723-5726 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T60 5755-5756 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T61 5786-5789 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bat
T62 5818-5819 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T63 5923-5924 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T64 6062-6064 http://purl.obolibrary.org/obo/CLO_0008812 denotes RH
T65 6129-6131 http://purl.obolibrary.org/obo/CLO_0007706 denotes mH
T66 6614-6615 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 6901-6906 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T68 6983-6984 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 7006-7011 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T70 7062-7063 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 7109-7114 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T72 7274-7276 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T73 7397-7399 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T74 7435-7437 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T75 7440-7442 http://purl.obolibrary.org/obo/CLO_0008192 denotes NP
T76 7449-7451 http://purl.obolibrary.org/obo/CLO_0008192 denotes NP
T77 7532-7537 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T78 7611-7613 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T79 7884-7886 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T80 7952-7956 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T81 8109-8113 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T82 8203-8207 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T83 8245-8247 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T84 8283-8285 http://purl.obolibrary.org/obo/PR_000010213 denotes mB
T85 8304-8308 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T86 8309-8311 http://purl.obolibrary.org/obo/CLO_0007706 denotes mH
T87 8367-8368 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T88 8394-8398 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T89 8509-8510 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T90 8536-8540 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes bats
T91 8704-8705 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T92 8898-8899 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T93 9030-9032 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T94 9062-9067 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T95 9174-9176 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T96 9326-9327 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T97 9424-9428 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T98 10543-10544 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T99 10639-10640 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T100 10892-10895 http://www.ebi.ac.uk/efo/EFO_0000265 denotes d{A
T101 10982-10983 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T102 11059-11060 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T103 11134-11135 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T104 11221-11223 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T105 11243-11245 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T106 11331-11333 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T107 11351-11353 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T108 11448-11449 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T109 11592-11594 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T110 11730-11737 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T111 12204-12205 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T112 12332-12333 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T113 12367-12368 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T114 12454-12456 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T115 12591-12593 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T116 12983-12984 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T117 13014-13015 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T118 13027-13028 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T119 13061-13062 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T120 13092-13093 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T121 13105-13106 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T122 13318-13321 http://www.ebi.ac.uk/efo/EFO_0000265 denotes d{a
T123 13408-13409 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T124 13484-13485 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T125 13544-13545 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T126 13610-13612 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T127 13626-13628 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T128 13648-13650 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T129 13736-13738 http://purl.obolibrary.org/obo/CLO_0001547 denotes aP
T130 14001-14002 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T131 14253-14255 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T132 14570-14571 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T133 14640-14641 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T134 14823-14825 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T135 14893-14894 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T136 15103-15108 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T137 15417-15419 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T138 15468-15470 http://purl.obolibrary.org/obo/CLO_0001547 denotes AP
T139 15545-15548 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T140 15722-15723 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T141 15768-15774 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T142 16302-16304 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T143 16327-16331 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T144 16407-16409 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T145 16632-16634 http://purl.obolibrary.org/obo/CLO_0008192 denotes nP
T146 16811-16816 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T147 16876-16881 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T148 16938-16939 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T149 16977-16978 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T150 17163-17168 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T151 18164-18165 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T152 18202-18203 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T153 18251-18252 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T154 18353-18356 http://purl.obolibrary.org/obo/CLO_0053733 denotes 1=1
T155 18671-18672 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T156 18796-18797 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T157 19081-19082 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T158 19199-19200 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T159 20948-20949 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T160 21443-21446 http://purl.obolibrary.org/obo/CLO_0051142 denotes rho
T161 22501-22502 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T162 22686-22687 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T163 22871-22872 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T164 23051-23052 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T165 23268-23270 http://purl.obolibrary.org/obo/CLO_0008285 denotes P1
T166 23300-23303 http://purl.obolibrary.org/obo/CLO_0008285 denotes P'1
T167 23300-23303 http://purl.obolibrary.org/obo/CLO_0008286 denotes P'1
T168 23335-23337 http://purl.obolibrary.org/obo/CLO_0008285 denotes p1
T169 23335-23337 http://purl.obolibrary.org/obo/CLO_0008286 denotes p1
T170 23367-23370 http://purl.obolibrary.org/obo/CLO_0008285 denotes P'1
T171 23367-23370 http://purl.obolibrary.org/obo/CLO_0008286 denotes P'1
T172 23744-23745 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T173 24234-24235 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T174 24471-24473 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T175 24471-24473 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T176 25159-25160 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T177 25384-25386 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T178 25792-25797 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T179 25900-25901 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T180 25993-25995 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T181 26210-26215 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T182 27500-27505 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T183 27725-27733 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T184 27857-27862 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T185 28204-28209 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T186 28445-28454 http://purl.obolibrary.org/obo/BFO_0000030 denotes objective
T187 28484-28485 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T188 28619-28620 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T189 28753-28757 http://purl.obolibrary.org/obo/NCBITaxon_9397 denotes Bats
T190 28908-28920 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 998-1000 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T2 1135-1137 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T3 3654-3656 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T4 3721-3723 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T5 3958-3960 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145
T6 4816-4818 Chemical denotes NY http://purl.obolibrary.org/obo/CHEBI_73427
T7 5472-5474 Chemical denotes EB http://purl.obolibrary.org/obo/CHEBI_53197
T8 5997-5999 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T10 6038-6040 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T11 6062-6064 Chemical denotes RH http://purl.obolibrary.org/obo/CHEBI_18310
T12 6165-6167 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T14 6174-6176 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T16 6342-6344 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T18 6401-6403 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T19 6676-6678 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T20 6679-6681 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T22 6759-6761 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T24 6768-6770 Chemical denotes NH http://purl.obolibrary.org/obo/CHEBI_29339|http://purl.obolibrary.org/obo/CHEBI_73424
T26 7184-7186 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T27 7205-7207 Chemical denotes EP http://purl.obolibrary.org/obo/CHEBI_73508
T28 7239-7241 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T29 7274-7276 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 7299-7301 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T33 7440-7442 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 7449-7451 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 7604-7606 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T40 7611-7613 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 7709-7711 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T44 7767-7769 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T45 7884-7886 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 7907-7909 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T49 8779-8781 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T51 8812-8814 Chemical denotes IH http://purl.obolibrary.org/obo/CHEBI_73520
T52 8818-8820 Chemical denotes SH http://purl.obolibrary.org/obo/CHEBI_29312|http://purl.obolibrary.org/obo/CHEBI_73651
T54 8851-8853 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T55 8857-8859 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T56 8895-8897 Chemical denotes SP http://purl.obolibrary.org/obo/CHEBI_74820
T57 8987-8989 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T58 9030-9032 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T61 9174-9176 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T64 9188-9190 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T65 10128-10130 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T66 10509-10513 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T67 10557-10561 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T68 10605-10609 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T69 10653-10657 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T70 10843-10848 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T71 10950-10955 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T72 11024-11029 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T73 11040-11045 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T74 11221-11223 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T77 11243-11245 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T80 11257-11260 Chemical denotes PEP http://purl.obolibrary.org/obo/CHEBI_18021|http://purl.obolibrary.org/obo/CHEBI_44897
T82 11266-11268 Chemical denotes EP http://purl.obolibrary.org/obo/CHEBI_73508
T83 11284-11287 Chemical denotes PEP http://purl.obolibrary.org/obo/CHEBI_18021|http://purl.obolibrary.org/obo/CHEBI_44897
T85 11306-11308 Chemical denotes EP http://purl.obolibrary.org/obo/CHEBI_73508
T86 11324-11327 Chemical denotes PIP http://purl.obolibrary.org/obo/CHEBI_16500
T87 11331-11333 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T90 11344-11347 Chemical denotes PIP http://purl.obolibrary.org/obo/CHEBI_16500
T91 11351-11353 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T94 12339-12343 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T95 12385-12389 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T96 12441-12445 Chemical denotes EPNP http://purl.obolibrary.org/obo/CHEBI_508
T97 12446-12448 Chemical denotes iP http://purl.obolibrary.org/obo/CHEBI_17660
T98 12475-12478 Chemical denotes PNP http://purl.obolibrary.org/obo/CHEBI_16836
T99 12491-12494 Chemical denotes PNP http://purl.obolibrary.org/obo/CHEBI_16836
T100 12591-12593 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T103 12606-12608 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T104 12625-12627 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T105 13281-13286 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T106 13376-13381 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T107 13449-13454 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T108 13465-13470 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T109 13749-13751 Chemical denotes iP http://purl.obolibrary.org/obo/CHEBI_17660
T110 13811-13813 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T111 14204-14206 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T112 15468-15470 Chemical denotes AP http://purl.obolibrary.org/obo/CHEBI_28971|http://purl.obolibrary.org/obo/CHEBI_73393|http://purl.obolibrary.org/obo/CHEBI_81686
T115 15483-15485 Chemical denotes IP http://purl.obolibrary.org/obo/CHEBI_74076
T116 17221-17223 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T117 17920-17924 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T118 17955-17959 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T119 17997-18001 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T120 18757-18762 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T121 19150-19155 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T122 19573-19578 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T123 19690-19695 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T124 20079-20084 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T125 20437-20442 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T126 20603-20605 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T127 20917-20921 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T128 20952-20956 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T129 20993-20997 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T130 21126-21128 Chemical denotes FV http://purl.obolibrary.org/obo/CHEBI_73638
T131 21472-21476 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T132 21583-21588 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T133 21608-21612 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T134 21709-21714 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T135 21745-21749 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T136 21860-21865 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T137 21896-21900 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T138 22005-22010 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T139 22071-22073 Chemical denotes FV http://purl.obolibrary.org/obo/CHEBI_73638
T140 22197-22199 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T141 22655-22660 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T142 22836-22841 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T143 23027-23032 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T144 23204-23209 Chemical denotes gamma http://purl.obolibrary.org/obo/CHEBI_30212
T145 23268-23270 Chemical denotes P1 http://purl.obolibrary.org/obo/CHEBI_60949
T146 23440-23442 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T147 23860-23862 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T148 23909-23911 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T149 24471-24473 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145
T150 26309-26311 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T151 28812-28814 Chemical denotes RP http://purl.obolibrary.org/obo/CHEBI_141419
T152 29142-29144 Chemical denotes QW http://purl.obolibrary.org/obo/CHEBI_141431
T153 29155-29157 Chemical denotes LY http://purl.obolibrary.org/obo/CHEBI_73591

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 1101-1113 http://purl.obolibrary.org/obo/GO_0000003 denotes reproduction
T2 2919-2931 http://purl.obolibrary.org/obo/GO_0000003 denotes reproduction
T3 2988-2994 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T4 24517-24523 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T5 24683-24689 http://purl.obolibrary.org/obo/GO_0040007 denotes growth
T6 26712-26724 http://purl.obolibrary.org/obo/GO_0000003 denotes reproduction
T7 28792-28804 http://purl.obolibrary.org/obo/GO_0000003 denotes reproduction

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 238-247 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T2 1827-1836 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-91 Sentence denotes A mathematical model for simulating the phase-based transmissibility of a novel coronavirus
T2 93-101 Sentence denotes Abstract
T3 102-112 Sentence denotes Background
T4 113-310 Sentence denotes As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as the causative virus of Wuhan pneumonia of unknown etiology by Chinese authorities on 7 January, 2020.
T5 311-466 Sentence denotes The virus was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses on 11 February, 2020.
T6 467-566 Sentence denotes This study aimed to develop a mathematical model for calculating the transmissibility of the virus.
T7 568-575 Sentence denotes Methods
T8 576-771 Sentence denotes In this study, we developed a Bats-Hosts-Reservoir-People transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection.
T9 772-1029 Sentence denotes Since the Bats-Hosts-Reservoir network was hard to explore clearly and public concerns were focusing on the transmission from Huanan Seafood Wholesale Market (reservoir) to people, we simplified the model as Reservoir-People (RP) transmission network model.
T10 1030-1193 Sentence denotes The next generation matrix approach was adopted to calculate the basic reproduction number (R0) from the RP model to assess the transmissibility of the SARS-CoV-2.
T11 1195-1202 Sentence denotes Results
T12 1203-1466 Sentence denotes The value of R0 was estimated of 2.30 from reservoir to person and 3.58 from person to person which means that the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population was 3.58.
T13 1468-1479 Sentence denotes Conclusions
T14 1480-1711 Sentence denotes Our model showed that the transmissibility of SARS-CoV-2 was higher than the Middle East respiratory syndrome in the Middle East countries, similar to severe acute respiratory syndrome, but lower than MERS in the Republic of Korea.
T15 1713-1723 Sentence denotes Background
T16 1724-2207 Sentence denotes On 31 December 2019, the World Health Organization (WHO) China Country Office was informed of cases of pneumonia of unknown etiology (unknown cause) detected in Wuhan City, Hubei Province of China, and WHO reported that a novel coronavirus (2019-nCoV), which was named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by International Committee on Taxonomy of Viruses on 11 February, 2020, was identified as the causative virus by Chinese authorities on 7 January [1].
T17 2208-2381 Sentence denotes It is reported that the virus might be bat origin [2], and the transmission of the virus might related to a seafood market (Huanan Seafood Wholesale Market) exposure [3, 4].
T18 2382-2481 Sentence denotes The genetic features and some clinical findings of the infection have been reported recently [4–6].
T19 2482-2566 Sentence denotes Potentials for international spread via commercial air travel had been assessed [7].
T20 2567-2660 Sentence denotes Public health concerns are being paid globally on how many people are infected and suspected.
T21 2661-2795 Sentence denotes Therefore, it is urgent to develop a mathematical model to estimate the transmissibility and dynamic of the transmission of the virus.
T22 2796-2868 Sentence denotes There were several researches focusing on mathematical modelling [3, 8].
T23 2869-3094 Sentence denotes These researches focused on calculating the basic reproduction number (R0) by using the serial intervals and intrinsic growth rate [3, 9, 10], or using ordinary differential equations and Markov Chain Monte Carlo methods [8].
T24 3095-3224 Sentence denotes However, the bat origin and the transmission route form the seafood market to people were not considered in the published models.
T25 3225-3427 Sentence denotes In this study, we developed a Bats-Hosts-Reservoir-People (BHRP) transmission network model for simulating the potential transmission from the infection source (probably be bats) to the human infection.
T26 3428-3779 Sentence denotes Since the Bats-Hosts-Reservoir network was hard to explore clearly and public concerns were focusing on the transmission from Huanan Seafood Wholesale Market (reservoir) to people, we simplified the model as Reservoir-People (RP) transmission network model, and R0 was calculated based on the RP model to assess the transmissibility of the SARS-CoV-2.
T27 3781-3788 Sentence denotes Methods
T28 3790-3801 Sentence denotes Data source
T29 3802-3942 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 3943-4089 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 4090-4218 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 4220-4263 Sentence denotes Simulation methods and statistical analysis
T33 4264-4376 Sentence denotes Berkeley Madonna 8.3.18 (developed by Robert Macey and George Oster of the University of California at Berkeley.
T34 4377-4406 Sentence denotes Copyright©1993–2001 Robert I.
T35 4407-4424 Sentence denotes Macey & George F.
T36 4425-4467 Sentence denotes Oster) was employed for the curve fitting.
T37 4468-4568 Sentence denotes The fourth-order Runge–Kutta method, with tolerance set at 0.001, was used to perform curve fitting.
T38 4569-4703 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 4704-4785 Sentence denotes The coefficient of determination (R2) was employed to assess the goodness-of-fit.
T40 4786-4858 Sentence denotes SPSS 13.0 (IBM Corp., Armonk, NY, USA) was employed to calculate the R2.
T41 4860-4925 Sentence denotes The Bats-Hosts-Reservoir-People (BHRP) transmission network model
T42 4926-5009 Sentence denotes The BHRP transmission network model was posted to bioRxiv on 19 January, 2020 [12].
T43 5010-5131 Sentence denotes We assumed that the virus transmitted among the bats, and then transmitted to unknown hosts (probably some wild animals).
T44 5132-5233 Sentence denotes The hosts were hunted and sent to the seafood market which was defined as the reservoir of the virus.
T45 5234-5303 Sentence denotes People exposed to the market got the risks of the infection (Fig. 1).
T46 5304-5388 Sentence denotes The BHRP transmission network model was based on the following assumptions or facts:
T47 5389-5519 Sentence denotes The bats were divided into four compartments: susceptible bats (SB), exposed bats (EB), infected bats (IB), and removed bats (RB).
T48 5520-5584 Sentence denotes The birth rate and death rate of bats were defined as nB and mB.
T49 5585-5697 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 5698-5820 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 5821-5925 Sentence denotes The SB will be infected through sufficient contact with IB, and the transmission rate was defined as βB.
T52 5926-6066 Sentence denotes The hosts were also divided into four compartments: susceptible hosts (SH), exposed hosts (EH), infected hosts (IH), and removed hosts (RH).
T53 6067-6132 Sentence denotes The birth rate and death rate of hosts were defined as nH and mH.
T54 6133-6212 Sentence denotes In this model, we set ɅH = nH × NH where NH refer to the total number of hosts.
T55 6213-6337 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 6338-6473 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 6474-6540 Sentence denotes The SARS-CoV-2 in reservoir (the seafood market) was denoted as W.
T58 6541-6801 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 6802-7001 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 7002-7115 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 7116-7340 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 7341-7407 Sentence denotes The birth rate and death rate of people were defined as nP and mP.
T63 7408-7488 Sentence denotes In this model, we set ɅP = nP × NP where NP refer to the total number of people.
T64 7489-7578 Sentence denotes The incubation period and latent period of human infection was defined as 1/ωP and 1/ω’P.
T65 7579-7644 Sentence denotes The infectious period of IP and AP was defined as 1/γP and 1/γ’P.
T66 7645-7704 Sentence denotes The proportion of asymptomatic infection was defined as δP.
T67 7705-7838 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 7839-7927 Sentence denotes We also assumed that the transmissibility of AP was κ times that of IP, where 0 ≤ κ ≤ 1.
T69 7928-8006 Sentence denotes Fig. 1 Flowchart of the Bats-Hosts-Reservoir-People transmission network model
T70 8007-8062 Sentence denotes The parameters of the BHRP model were shown in Table 1.
T71 8063-8149 Sentence denotes Table 1 Definition of those parameters in the Bats-Hosts-Reservoir-People (BHRP) model
T72 8150-8171 Sentence denotes Parameter Description
T73 8172-8207 Sentence denotes nB The birth rate parameter of bats
T74 8208-8244 Sentence denotes nH The birth rate parameter of hosts
T75 8245-8282 Sentence denotes nP The birth rate parameter of people
T76 8283-8308 Sentence denotes mB The death rate of bats
T77 8309-8335 Sentence denotes mH The death rate of hosts
T78 8336-8363 Sentence denotes mP The death rate of people
T79 8364-8398 Sentence denotes 1/ωB The incubation period of bats
T80 8399-8434 Sentence denotes 1/ωH The incubation period of hosts
T81 8435-8471 Sentence denotes 1/ωP The incubation period of people
T82 8472-8505 Sentence denotes 1/ω’P The latent period of people
T83 8506-8540 Sentence denotes 1/γB The infectious period of bats
T84 8541-8576 Sentence denotes 1/γH The infectious period of hosts
T85 8577-8638 Sentence denotes 1/γP The infectious period of symptomatic infection of people
T86 8639-8702 Sentence denotes 1/γ’P The infectious period of asymptomatic infection of people
T87 8703-8741 Sentence denotes βB The transmission rate from IB to SB
T88 8742-8781 Sentence denotes βBH The transmission rate from IB to SH
T89 8782-8820 Sentence denotes βH The transmission rate from IH to SH
T90 8821-8859 Sentence denotes βP The transmission rate from IP to SP
T91 8860-8897 Sentence denotes βW The transmission rate from W to SP
T92 8898-8952 Sentence denotes a The retail purchases rate of the hosts in the market
T93 8953-8994 Sentence denotes μP The shedding coefficients from IP to W
T94 8995-9037 Sentence denotes μ’P The shedding coefficients from AP to W
T95 9038-9072 Sentence denotes 1/ε The lifetime of the virus in W
T96 9073-9131 Sentence denotes δP The proportion of asymptomatic infection rate of people
T97 9132-9191 Sentence denotes κ The multiple of the transmissibility of AP to that of IP.
T98 9193-9251 Sentence denotes The simplified reservoir-people transmission network model
T99 9252-9339 Sentence denotes We assumed that the SARS-CoV-2 might be imported to the seafood market in a short time.
T100 9340-9395 Sentence denotes Therefore, we added the further assumptions as follows:
T101 9396-9446 Sentence denotes The transmission network of Bats-Host was ignored.
T102 9447-9928 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 9929-10083 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 10084-11356 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 11357-11469 Sentence denotes During the outbreak period, the natural birth rate and death rate in the population was in a relative low level.
T106 11470-11580 Sentence denotes However, people would commonly travel into and out from Wuhan City mainly due to the Chinese New Year holiday.
T107 11581-11704 Sentence denotes Therefore, nP and mP refer to the rate of people traveling into Wuhan City and traveling out from Wuhan City, respectively.
T108 11705-11764 Sentence denotes In the model, people and viruses have different dimensions.
T109 11765-12509 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 12510-12609 Sentence denotes In the normalization, parameter c refers to the relative shedding coefficient of AP compared to IP.
T111 12610-13757 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 13759-13819 Sentence denotes The transmissibility of the SARS-CoV-2 based on the RP model
T113 13820-13899 Sentence denotes In this study, we used the R0 to assess the transmissibility of the SARS-CoV-2.
T114 13900-14084 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 14085-14120 Sentence denotes If R0 > 1, the outbreak will occur.
T116 14121-14164 Sentence denotes If R0 < 1, the outbreak will toward an end.
T117 14165-14257 Sentence denotes In this study, R0 was deduced from the RP model by the next generation matrix approach [18].
T118 14259-14279 Sentence denotes Parameter estimation
T119 14280-14355 Sentence denotes The parameters were estimated based on the following facts and assumptions:
T120 14356-14426 Sentence denotes The mean incubation period was 5.2 days (95% confidence interval [CI]:
T121 14427-14440 Sentence denotes 4.1–7.0) [3].
T122 14441-14535 Sentence denotes We set the same value (5.2 days) of the incubation period and the latent period in this study.
T123 14536-14560 Sentence denotes Thus, ωP = ω’P = 0.1923.
T124 14561-14759 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 14760-14920 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 14921-14934 Sentence denotes 4.3–7.5) [3].
T127 14935-15003 Sentence denotes In our model, we set the infectious period of the cases as 5.8 days.
T128 15004-15027 Sentence denotes Therefore, γP = 0.1724.
T129 15028-15174 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 15175-15421 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 15422-15494 Sentence denotes We assumed that the relative shedding rate of AP compared to IP was 0.5.
T132 15495-15509 Sentence denotes Thus, c = 0.5.
T133 15510-15703 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 15704-15801 Sentence denotes As of January 17, a total of nearly 0.3 million people had been tested for body temperature [23].
T135 15802-15864 Sentence denotes In Wuhan, there are about 2.87 million mobile population [24].
T136 15865-16106 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 16107-16188 Sentence denotes This means that the 2.87 million would move out from Wuhan City in about 14 days.
T138 16189-16261 Sentence denotes Therefore, we set the moving volume of 0.2 million per day in our model.
T139 16262-16419 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 16420-16532 Sentence denotes However, we assumed that the normal population mobility before January 1 was 0.1 times as that after January 10.
T141 16533-16650 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 16651-16736 Sentence denotes The parameters bP and bW were estimated by fitting the model with the collected data.
T143 16737-16844 Sentence denotes At the beginning of the simulation, we assumed that the prevalence of the virus in the market was 1/100000.
T144 16845-17036 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 17037-17052 Sentence denotes We set ε = 0.1.
T146 17054-17061 Sentence denotes Results
T147 17062-17194 Sentence denotes In this study, we assumed that the incubation period (1/ωP) was the same as latent period (1/ω’P) of human infection, thus ωP = ω’P.
T148 17195-18388 Sentence denotes Based on the equations of RP model, we can get the disease free equilibrium point as: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \left(\frac{\varLambda_P}{m_P},0,0,0,0,0\right) $$\end{document}ΛPmP00000\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ F=\left[\begin{array}{cccc}0& {\beta}_P\frac{\varLambda_P}{m_P}& {\beta}_P\kappa \frac{\varLambda_P}{m_P}& {\beta}_W\frac{\varLambda_P}{m_P}\\ {}0& 0& 0& 0\\ {}0& 0& 0& 0\\ {}0& 0& 0& 0\end{array}\right],{V}^{-1}=\left[\begin{array}{cccc}\frac{1}{\omega_P+{m}_P}& 0& 0& 0\\ {}A& \frac{1}{\gamma_P+{m}_P}& 0& 0\\ {}B& 0& \frac{1}{\gamma_P^{\hbox{'}}+{m}_P}& 0\\ {}B& E& G& \frac{1}{\varepsilon}\end{array}\right] $$\end{document}F=0βPΛPmPβPκΛPmPβWΛPmP000000000000,V−1=1ωP+mP000A1γP+mP00B01γP'+mP0BEG1ε
T149 18389-20509 Sentence denotes In the matrix: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ A=\frac{\left(1-{\delta}_P\right){\upomega}_P}{\left({\upomega}_P+{m}_P\right)\left({\gamma}_P+{m}_P\right)} $$\end{document}A=1−δPωPωP+mPγP+mP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ B=\frac{\delta_P{\upomega}_P}{\left({\upomega}_P+{m}_P\right)\left({\gamma}_p^{\prime }+{m}_P\right)} $$\end{document}B=δPωPωP+mPγp′+mP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ D=\frac{\left(1-{\delta}_P\right){\mu \upomega}_P}{\left({\upomega}_P+{m}_P\right)\left({\gamma}_P+{m}_P\right)\varepsilon }+\frac{\mu^{\prime }{\delta}_P{\upomega}_P}{\left({\upomega}_P+{m}_P\right)\left({\gamma}_p^{\prime }+{m}_P\right)\varepsilon } $$\end{document}D=1−δPμωPωP+mPγP+mPε+μ′δPωPωP+mPγp′+mPε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ E=\frac{\mu }{\left({\gamma}_P+{m}_P\right)\varepsilon } $$\end{document}E=μγP+mPε\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ G=\frac{\mu^{\prime }}{\left({\gamma}_p^{\prime }+{m}_P\right)\varepsilon } $$\end{document}G=μ′γp′+mPε
T150 20510-22171 Sentence denotes By the next generation matrix approach, we can get the next generation matrix and R0 for the RP model: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ F{V}^{-1}=\left[\begin{array}{cccc}{\beta}_p\frac{\varLambda_P}{m_P}A+{\beta}_P\kappa \frac{\varLambda_P}{m_P}+{\beta}_W\frac{\varLambda_P}{m_P}D& \ast & \ast & \ast \\ {}0& 0& 0& 0\\ {}0& 0& 0& 0\\ {}0& 0& 0& 0\end{array}\right] $$\end{document}FV−1=βpΛPmPA+βPκΛPmP+βWΛPmPD∗∗∗000000000000\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {R}_0=\rho \left(F{V}^{-1}\right)={\beta}_P\frac{\varLambda_P}{m_P}\frac{\left(1-{\delta}_P\right){\omega}_P}{\left({\omega}_P+{m}_P\right)\left({\gamma}_P+{m}_P\right)}+{\beta}_P\kappa \frac{\varLambda_P}{m_P}\frac{\delta_P{\omega}_P}{\left({\omega}_P+{m}_P\right)\left({\gamma}_P^{\hbox{'}}+{m}_P\right)}+{\beta}_W\frac{\varLambda_P}{m_P}\frac{\left(1-{\delta}_P\right)\mu {\omega}_P}{\left({\omega}_P+{m}_P\right)\left({\gamma}_P+{m}_P\right)\varepsilon }+\beta W\frac{\varLambda_P}{m_P}\frac{\mu^{\hbox{'}}{\delta}_P{\omega}_P}{\left({\omega}_P+{m}_P\right)\left({\gamma}_P^{\hbox{'}}+{m}_P\right)\varepsilon } $$\end{document}R0=ρFV−1=βPΛPmP1−δPωPωP+mPγP+mP+βPκΛPmPδPωPωP+mPγP'+mP+βWΛPmP1−δPμωPωP+mPγP+mPε+βWΛPmPμ'δPωPωP+mPγP'+mPε
T151 22172-23390 Sentence denotes The R0 of the normalized RP model 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}$$ {R}_0={b}_p\frac{n_P}{m_p}\frac{\left(1-{\delta}_P\right){\omega}_P}{\left[\left(1-\delta p\right){\omega}_P+{\delta}_P{\omega}_P^{\hbox{'}}+{m}_P\right]\left({\gamma}_P+{m}_P\right)}+\kappa {b}_P\frac{n_P}{m_P}\frac{\delta_P{\omega}_P^{\hbox{'}}}{\left[\left(1-{\delta}_P\right){\omega}_P+{\delta}_P{\omega}_P^{\hbox{'}}+{m}_P\right]\left({\gamma}_P^{\hbox{'}}+{m}_P\right)}+{b}_W\frac{n_P}{m_P}\frac{\left(1-{\delta}_p\right){\omega}_p}{\left[\left(1-{\delta}_p\right){\omega}_P+{\delta}_P{\omega}_P^{\hbox{'}}+{m}_p\right]\left({\gamma}_P+{m}_P\right)}+{b}_W\frac{n_P}{m_P}\frac{c{\delta}_P{\omega}_P^{\hbox{'}}}{\left[\left(1-{\delta}_p\right){\omega}_P+{\delta}_P{\omega}_P^{\hbox{'}}+{m}_p\right]\left({\gamma}_P^{\hbox{'}}+{m}_P\right)} $$\end{document}R0=bpnPmp1−δPωP1−δpωP+δPωP'+mPγP+mP+κbPnPmPδPωP'1−δPωP+δPωP'+mPγP'+mP+bWnPmP1−δpωp1−δpωP+δPωP'+mpγP+mP+bWnPmPcδPωP'1−δpωP+δPωP'+mpγP'+mP
T152 23391-23532 Sentence denotes Our modelling results showed that the normalized RP model fitted well to the reported SARS-CoV-2 cases data (R2 = 0.512, P < 0.001) (Fig. 2).
T153 23533-23823 Sentence denotes The value of R0 was estimated of 2.30 from reservoir to person, and from person to person and 3.58 from person to person which means that the expected number of secondary infections that result from introducing a single infected individual into an otherwise susceptible population was 3.58.
T154 23824-23868 Sentence denotes Fig. 2 Curve fitting results of the RP model
T155 23870-23880 Sentence denotes Discussion
T156 23881-24039 Sentence denotes In this study, we developed RP transmission model, which considering the routes from reservoir to person and from person to person of SARS-CoV-2 respectively.
T157 24040-24135 Sentence denotes We used the models to fit the reported data in Wuhan City, China from published literature [3].
T158 24136-24223 Sentence denotes The simulation results showed that the R0 of SARS-CoV-2 was 3.58 from person to person.
T159 24224-24295 Sentence denotes There was a research showed that the R0 of SARS-CoV-2 was 2.68 (95% CI:
T160 24296-24311 Sentence denotes 2.47–2.86) [8].
T161 24312-24378 Sentence denotes Another research showed that the R0 of SARS-CoV-2 was 2.2 (95% CI:
T162 24379-24392 Sentence denotes 1.4–3.9) [3].
T163 24393-24452 Sentence denotes The different values might be due to the different methods.
T164 24453-24579 Sentence denotes The methods which Li et al. employed were based on the epidemic growth rate of the epidemic curve and the serial interval [3].
T165 24580-24808 Sentence denotes Our previous study showed that several methods could be used to calculate the R0 based on the epidemic growth rate of the epidemic curve and the serial interval, and different methods might result in different values of R0 [26].
T166 24809-24939 Sentence denotes Our results also showed that the R0 of SARS-CoV-2 was 2.30 from reservoir to person which was lower than that of person to person.
T167 24940-25102 Sentence denotes This means that the transmission route was mainly from person to person rather than from reservoir to person in the early stage of the transmission in Wuhan City.
T168 25103-25263 Sentence denotes However, this result was based on the limited data from a published literature, and it might not show the real situation at the early stage of the transmission.
T169 25264-25392 Sentence denotes Researches showed that the R0 of severe acute respiratory syndrome (SARS) was about 2.7–3.4 or 2–4 in Hong Kong, China [27, 28].
T170 25393-25520 Sentence denotes Another research found that the R0 of SARS was about 2.1 in Hong Kong, China, 2.7 in Singapore, and 3.8 in Beijing, China [29].
T171 25521-25622 Sentence denotes Therefore, we believe that the commonly acceptable average value of the R0 of SARS might be 2.9 [30].
T172 25623-25715 Sentence denotes The transmissibility of the Middle East respiratory syndrome (MERS) is much lower than SARS.
T173 25716-25881 Sentence denotes The reported value of the R0 of MERS was about 0.8–1.3 [31], with the inter-human transmissibility of the disease was about 0.6 or 0.9 in Middle East countries [32].
T174 25882-25997 Sentence denotes However, MERS had a high transmissibility in the outbreak in the Republic of Korea with the R0 of 2.5–7.2 [33, 34].
T175 25998-26174 Sentence denotes Therefore, the transmissibility of SARS-CoV-2 might be higher than MERS in the Middle East countries, similar to SARS, but lower than MERS transmitted in the Republic of Korea.
T176 26175-26248 Sentence denotes To contain the transmission of the virus, it is important to decrease R0.
T177 26249-26352 Sentence denotes According to the equation of R0 deduced from the simplified RP model, R0 is related to many parameters.
T178 26353-26417 Sentence denotes The mainly parameters which could be changed were bP, bW, and γ.
T179 26418-26658 Sentence denotes Interventions such as wearing masks and increasing social distance could decrease the bP, the intervention that close the seafood market could decrease the bW, and shorten the duration form symptoms onset to be diagnosed could decrease 1/γ.
T180 26659-26783 Sentence denotes All these interventions could decrease the effective reproduction number and finally be helpful to control the transmission.
T181 26784-26874 Sentence denotes Since there are too many parameters in our model, several limitations exist in this study.
T182 26875-27008 Sentence denotes Firstly, we did not use the detailed data of the SARS-CoV-2 to perform the estimation instead of using the data from literatures [3].
T183 27009-27255 Sentence denotes We simulated the natural history of the infection that the proportion of asymptomatic infection was 50%, and the transmissibility of asymptomatic infection was half of that of symptomatic infection, which were different to those of MERS and SARS.
T184 27256-27350 Sentence denotes It is known that the proportion of asymptomatic infection of MERS and SARS was lower than 10%.
T185 27351-27433 Sentence denotes Secondly, the parameters of population mobility were not from an accurate dataset.
T186 27434-27571 Sentence denotes Thirdly, since there was no data of the initial prevalence of the virus in the seafood market, we assumed the initial value of 1/100 000.
T187 27572-27647 Sentence denotes This assumption might lead to the simulation been under- or over-estimated.
T188 27648-27884 Sentence denotes In addition, since we did not consider the changing rate of the individual’s activity (such as wearing masks, increasing social distance, and not to travel to Wuhan City), the estimation of importation of the virus might not be correct.
T189 27885-27951 Sentence denotes All these limitations will lead to the uncertainty of our results.
T190 27952-28210 Sentence denotes Therefore, the accuracy and the validity of the estimation would be better if the models fit the first-hand data on the population mobility and the data on the natural history, the epidemiological characteristics, and the transmission mechanism of the virus.
T191 28212-28223 Sentence denotes Conclusions
T192 28224-28434 Sentence denotes By calculating the published data, our model showed that the transmissibility of SARS-CoV-2 might be higher than MERS in the Middle East countries, similar to SARS, but lower than MERS in the Republic of Korea.
T193 28435-28632 Sentence denotes Since the objective of this study was to provide a mathematical model for calculating the transmissibility of SARS-CoV-2, the R0 was estimated based on limited data which published in a literature.
T194 28633-28699 Sentence denotes More data were needed to estimate the transmissibility accurately.
T195 28701-28714 Sentence denotes Abbreviations
T196 28715-28747 Sentence denotes 2019-nCoV 2019 novel coronavirus
T197 28748-28780 Sentence denotes BHRP Bats-Hosts-Reservoir-People
T198 28781-28811 Sentence denotes R 0 Basic reproduction number
T199 28812-28831 Sentence denotes RP Reservoir-People
T200 28832-28890 Sentence denotes SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2
T201 28891-28920 Sentence denotes WHO World Health Organization
T202 28922-28938 Sentence denotes Acknowledgements
T203 28939-29053 Sentence denotes We thank Qingqing Hu at School of Medicine, University of Utah for her reviewing and editing the English language.
T204 29055-29077 Sentence denotes Authors’ contributions
T205 29078-29242 Sentence denotes TC designed research; TC conceived the experiments, TC, JR, ZZ, QW, JAC, and LY conducted the experiments and analyzed the results; TC and JAC wrote the manuscript.
T206 29243-29294 Sentence denotes All authors read and approved the final manuscript.
T207 29296-29303 Sentence denotes Funding
T208 29304-29423 Sentence denotes This study was supported by Xiamen New Coronavirus Prevention and Control Emergency Tackling Special Topic Program (No:
T209 29424-29439 Sentence denotes 3502Z2020YJ03).
T210 29441-29475 Sentence denotes Availability of data and materials
T211 29476-29491 Sentence denotes Not applicable.
T212 29493-29535 Sentence denotes Ethics approval and consent to participate
T213 29536-29551 Sentence denotes Not applicable.
T214 29553-29576 Sentence denotes Consent for publication
T215 29577-29592 Sentence denotes Not applicable.
T216 29594-29613 Sentence denotes Competing interests
T217 29614-29672 Sentence denotes The authors declare that they have no competing interests.

2_test

Id Subject Object Predicate Lexical cue
32111262-31978945-47462505 2476-2477 31978945 denotes 4
32111262-32007643-47462506 3004-3005 32007643 denotes 9
32111262-25467086-47462507 9504-9506 25467086 denotes 13
32111262-31415559-47462508 9508-9510 31415559 denotes 14
32111262-24736407-47462509 11797-11799 24736407 denotes 15
32111262-25467086-47462510 14072-14074 25467086 denotes 13
32111262-31924848-47462511 14076-14078 31924848 denotes 16
32111262-31306888-47462512 14080-14082 31306888 denotes 17
32111262-16079251-47462513 15417-15419 16079251 denotes 22
32111262-27834157-47462514 24804-24806 27834157 denotes 26
32111262-12766206-47462515 25384-25386 12766206 denotes 27
32111262-12766208-47462516 25388-25390 12766208 denotes 28
32111262-14720403-47462517 25516-25518 14720403 denotes 29
32111262-28351976-47462518 25618-25620 28351976 denotes 30
32111262-24239323-47462519 25772-25774 24239323 denotes 31
32111262-23831141-47462520 25877-25879 23831141 denotes 32
32111262-28703921-47462521 25989-25991 28703921 denotes 33
32111262-26690750-47462522 25993-25995 26690750 denotes 34
T2621 2476-2477 31978945 denotes 4
T24062 3004-3005 32007643 denotes 9
T99805 9504-9506 25467086 denotes 13
T53159 9508-9510 31415559 denotes 14
T22671 11797-11799 24736407 denotes 15
T63646 14072-14074 25467086 denotes 13
T96528 14076-14078 31924848 denotes 16
T77535 14080-14082 31306888 denotes 17
T95670 15417-15419 16079251 denotes 22
T45899 24804-24806 27834157 denotes 26
T68538 25384-25386 12766206 denotes 27
T29295 25388-25390 12766208 denotes 28
T86455 25516-25518 14720403 denotes 29
T86121 25618-25620 28351976 denotes 30
T84435 25772-25774 24239323 denotes 31
T24642 25877-25879 23831141 denotes 32
T65449 25989-25991 28703921 denotes 33
T3047 25993-25995 26690750 denotes 34