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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T26 0-8 Body_part denotes Appendix http://purl.org/sig/ont/fma/fma14542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T178 56-64 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T179 170-178 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T180 964-977 Disease denotes infections in http://purl.obolibrary.org/obo/MONDO_0005550
T181 1087-1095 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T182 1677-1685 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T183 2120-2123 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678
T184 2248-2251 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678
T185 2693-2696 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678
T186 2814-2817 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678
T187 3273-3276 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678
T188 3403-3406 Disease denotes inv http://purl.obolibrary.org/obo/MONDO_0043678

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T351 9-10 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T352 292-297 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T353 316-317 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T354 670-672 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T355 677-678 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T356 1162-1164 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T357 1278-1280 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T358 1390-1393 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3 4
T359 1462-1465 http://purl.obolibrary.org/obo/CLO_0050507 denotes 2 2
T360 1511-1513 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T361 1517-1520 http://purl.obolibrary.org/obo/CLO_0001079 denotes 148
T362 1621-1626 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T363 1774-1779 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3) (4
T364 1816-1817 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T365 1932-1935 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T366 2497-2500 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T367 3032-3033 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T368 4032-4033 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T369 4080-4081 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T370 4346-4358 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrumental

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T795 0-11 Sentence denotes Appendix B.
T796 12-55 Sentence denotes Exclude clinically diagnosed cases in Hubei
T797 56-144 Sentence denotes COVID-19 case definitions were changed in Hubei province on February 12 and February 20.
T798 145-298 Sentence denotes Starting on February 12, COVID-19 cases could also be confirmed based on clinical diagnosis in Hubei province, in addition to molecular diagnostic tests.
T799 299-418 Sentence denotes This resulted in a sharp increase in the number of daily new cases reported in Hubei, and in particular Wuhan (Fig. 2).
T800 419-490 Sentence denotes The use of clinical diagnosis in confirming cases ended on February 20.
T801 491-673 Sentence denotes The numbers of cases that are confirmed based on clinical diagnosis for February 12, 13, and 14 are reported by the Health Commission of Hubei Province and are displayed in Table 11.
T802 674-785 Sentence denotes As a robustness check, we re-estimate the model after removing these cases from the daily case counts (Fig. 8).
T803 786-826 Sentence denotes Our main findings still hold (Table 12).
T804 827-908 Sentence denotes The transmission rates are significantly lower in February compared with January.
T805 909-1040 Sentence denotes Population flow from the epidemic source increases the infections in destinations, and this effect is slightly delayed in February.
T806 1041-1155 Sentence denotes Fig. 8 Number of daily new confirmed cases of COVID-19 in mainland China and revised case counts in Hubei Province
T807 1156-1221 Sentence denotes Table 11 Number of cumulative clinically diagnosed cases in Hubei
T808 1222-1247 Sentence denotes City Feb 12 Feb 13 Feb 14
T809 1248-1265 Sentence denotes Ezhou 155 168 189
T810 1266-1280 Sentence denotes Enshi 19 21 27
T811 1281-1302 Sentence denotes Huanggang 221 306 306
T812 1303-1320 Sentence denotes Huangshi 12 26 42
T813 1321-1342 Sentence denotes Jingmen 202 155‡ 150‡
T814 1343-1365 Sentence denotes Jingzhou 287 269‡ 257‡
T815 1366-1382 Sentence denotes Qianjiang 0 9 19
T816 1383-1396 Sentence denotes Shiyan 3 4 3‡
T817 1397-1411 Sentence denotes Suizhou 0 6 4‡
T818 1412-1429 Sentence denotes Tianmen 26 67 65‡
T819 1430-1453 Sentence denotes Wuhan 12364 14031 14953
T820 1454-1467 Sentence denotes Xiantao 2 2 2
T821 1468-1486 Sentence denotes Xianning 6 189 286
T822 1487-1502 Sentence denotes Xiangyang 0 0 4
T823 1503-1520 Sentence denotes Xiaogan 35 80 148
T824 1521-1536 Sentence denotes Yichang 0 51 67
T825 1537-1626 Sentence denotes ‡The reductions in cumulative case counts are due to revised diagnosis from further tests
T826 1627-1724 Sentence denotes Table 12 Within- and between-city transmission of COVID-19, revised case counts in Hubei Province
T827 1725-1764 Sentence denotes Jan 19–Feb 29 Jan 19–Feb 1 Feb 2–Feb 29
T828 1765-1788 Sentence denotes (1) (2) (3) (4) (5) (6)
T829 1789-1809 Sentence denotes OLS IV OLS IV OLS IV
T830 1810-1900 Sentence denotes Model A: lagged variables are averages over the preceding first and second week separately
T831 1901-1935 Sentence denotes Average # of new cases, 1-week lag
T832 1936-1998 Sentence denotes Own city 0.747*** 0.840*** 0.939*** 2.456*** 0.790*** 1.199***
T833 1999-2050 Sentence denotes (0.0182) (0.0431) (0.102) (0.638) (0.0211) (0.0904)
T834 2051-2113 Sentence denotes Other cities 0.00631** 0.0124 0.0889 0.0412 − 0.00333 − 0.0328
T835 2114-2187 Sentence denotes wt. = inv. dist. (0.00289) (0.00897) (0.0714) (0.0787) (0.00601) (0.0230)
T836 2188-2241 Sentence denotes Wuhan 0.0331*** 0.0277 − 0.879 − 0.957 0.0543* 0.0840
T837 2242-2310 Sentence denotes wt. = inv. dist. (0.0116) (0.0284) (0.745) (0.955) (0.0271) (0.0684)
T838 2311-2384 Sentence denotes Wuhan 0.00365*** 0.00408*** 0.00462*** 0.00471*** − 0.000882 − 0.00880***
T839 2385-2465 Sentence denotes wt. = pop. flow (0.000282) (0.000287) (0.000326) (0.000696) (0.000797) (0.00252)
T840 2466-2500 Sentence denotes Average # of new cases, 2-week lag
T841 2501-2564 Sentence denotes Own city − 0.519*** − 0.673*** 2.558 − 1.633 − 0.286*** − 0.141
T842 2565-2616 Sentence denotes (0.0138) (0.0532) (2.350) (2.951) (0.0361) (0.0899)
T843 2617-2686 Sentence denotes Other cities − 0.00466 − 0.0208 − 0.361 − 0.0404 − 0.00291 − 0.0235**
T844 2687-2757 Sentence denotes wt. = inv. dist. (0.00350) (0.0143) (0.371) (0.496) (0.00566) (0.0113)
T845 2758-2807 Sentence denotes Wuhan − 0.0914* 0.0308 3.053 3.031 − 0.154 0.0110
T846 2808-2876 Sentence denotes wt. = inv. dist. (0.0465) (0.0438) (2.834) (3.559) (0.0965) (0.0244)
T847 2877-2945 Sentence denotes Wuhan 0.00827*** 0.00807*** 0.00711*** − 0.00632 0.0119*** 0.0112***
T848 2946-3025 Sentence denotes wt. = pop. flow (0.000264) (0.000185) (0.00213) (0.00741) (0.000523) (0.000627)
T849 3026-3091 Sentence denotes Model B: lagged variables are averages over the preceding 2 weeks
T850 3092-3154 Sentence denotes Own city 0.235*** 0.983*** 1.564*** 2.992*** 0.391*** 0.725***
T851 3155-3204 Sentence denotes (0.0355) (0.158) (0.174) (0.892) (0.0114) (0.101)
T852 3205-3266 Sentence denotes Other cities 0.00812 − 0.0925* 0.0414 0.0704 0.0181 − 0.00494
T853 3267-3338 Sentence denotes wt. = inv. dist. (0.00899) (0.0480) (0.0305) (0.0523) (0.0172) (0.0228)
T854 3339-3396 Sentence denotes Wuhan − 0.172* − 0.114** − 0.309 − 0.608 − 0.262 − 0.299*
T855 3397-3462 Sentence denotes wt. = inv. dist. (0.101) (0.0472) (0.251) (0.460) (0.161) (0.169)
T856 3463-3527 Sentence denotes Wuhan 0.0133*** 0.0107*** 0.00779*** 0.00316 0.0152*** 0.0143***
T857 3528-3608 Sentence denotes wt. = pop. flow (0.000226) (0.000509) (0.000518) (0.00276) (0.000155) (0.000447)
T858 3609-3659 Sentence denotes Observations 12,768 12,768 4,256 4,256 8,512 8,512
T859 3660-3700 Sentence denotes Number of cities 304 304 304 304 304 304
T860 3701-3741 Sentence denotes Weather controls Yes Yes Yes Yes Yes Yes
T861 3742-3773 Sentence denotes City FE Yes Yes Yes Yes Yes Yes
T862 3774-3805 Sentence denotes Date FE Yes Yes Yes Yes Yes Yes
T863 3806-3862 Sentence denotes The dependent variable is the number of daily new cases.
T864 3863-4083 Sentence denotes The endogenous explanatory variables include the average numbers of new confirmed cases in the own city and nearby cities in the preceding first and second weeks (model A) and averages in the preceding 14 days (model B).
T865 4084-4391 Sentence denotes Weekly averages of daily maximum temperature, precipitation, wind speed, the interaction between precipitation and wind speed, and the inverse log distance weighted sum of these variables in other cities, during the preceding third and fourth weeks, are used as instrumental variables in the IV regressions.
T866 4392-4491 Sentence denotes Weather controls include contemporaneous weather variables in the preceding first and second weeks.
T867 4492-4587 Sentence denotes Standard errors in parentheses are clustered by provinces. *** p < 0.01, ** p < 0.05, * p < 0.1

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
453 1087-1095 Disease denotes COVID-19 MESH:C000657245
455 1746-1757 Gene denotes Feb 1 Feb 2 Gene:2233
457 1677-1685 Disease denotes COVID-19 MESH:C000657245
461 56-64 Disease denotes COVID-19 MESH:C000657245
462 170-178 Disease denotes COVID-19 MESH:C000657245
463 950-974 Disease denotes increases the infections MESH:D007239