PMC:7510993 / 26492-28362
Annnotations
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T151 | 24-32 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T152 | 120-128 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T153 | 233-241 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T154 | 308-316 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T155 | 411-419 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T156 | 484-492 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T157 | 576-584 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T158 | 651-659 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T159 | 758-766 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T160 | 831-839 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T161 | 1687-1694 | Disease | denotes | malaria | http://purl.obolibrary.org/obo/MONDO_0005136 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T123 | 187-188 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T124 | 209-210 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T125 | 354-355 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T126 | 552-553 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T127 | 946-952 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | tested |
| T128 | 956-957 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T129 | 991-995 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | test |
| T130 | 1109-1110 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T131 | 1117-1118 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T132 | 1173-1174 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T133 | 1189-1190 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T134 | 1261-1262 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T135 | 1275-1276 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T136 | 1290-1291 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T137 | 1305-1306 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T138 | 1372-1375 | http://purl.obolibrary.org/obo/CLO_0001178 | denotes | 243 |
| T139 | 1372-1375 | http://purl.obolibrary.org/obo/CLO_0052433 | denotes | 243 |
| T140 | 1420-1421 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T141 | 1436-1437 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T142 | 1452-1453 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T143 | 1468-1469 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T144 | 1501-1502 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T145 | 1519-1520 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T146 | 1537-1538 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T147 | 1593-1594 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T148 | 1610-1611 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T149 | 1627-1628 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T150 | 1644-1645 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T151 | 1710-1711 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T152 | 1727-1728 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T153 | 1744-1745 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T154 | 1762-1763 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
| T155 | 1822-1823 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T156 | 1838-1839 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | b |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T69 | 1470-1473 | Chemical | denotes | GDP | http://purl.obolibrary.org/obo/CHEBI_17552|http://purl.obolibrary.org/obo/CHEBI_58189 |
| T71 | 1555-1558 | Chemical | denotes | BCG | http://purl.obolibrary.org/obo/CHEBI_41001 |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 393 | 1668-1674 | Species | denotes | people | Tax:9606 |
| 394 | 1786-1792 | Species | denotes | people | Tax:9606 |
| 395 | 1555-1558 | Species | denotes | BCG | Tax:33892 |
| 396 | 1675-1683 | Disease | denotes | infected | MESH:D007239 |
| 397 | 1687-1694 | Disease | denotes | malaria | MESH:D008288 |
| 399 | 24-32 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 409 | 120-128 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 410 | 233-241 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 411 | 308-316 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 412 | 411-419 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 413 | 484-492 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 414 | 576-584 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 415 | 651-659 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 416 | 758-766 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 417 | 831-839 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T133 | 0-73 | Sentence | denotes | Table 1 Drivers of the COVID-19 spread in relation to the country types. |
| T134 | 74-181 | Sentence | denotes | Country types were defined by the patterns of COVID-19 spread (cases per 1 million population) (see Fig 3). |
| T135 | 182-871 | Sentence | denotes | Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; and type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. |
| T136 | 872-996 | Sentence | denotes | The statistical significance of differences between the country types was tested by a Bonferroni’s multiple comparison test. |
| T137 | 997-1095 | Sentence | denotes | Different letters indicate the values that are significantly different (p < 0.05) from each other. |
| T138 | 1096-1134 | Sentence | denotes | Factor Type A Type B Type C Type D |
| T139 | 1135-1222 | Sentence | denotes | Mean annual temperature 11.1 (±3.88) a 14.6 (±8.87) b 18.5 (±7.96) c 21.4 (±6.81) d |
| T140 | 1223-1306 | Sentence | denotes | Mean annual precipitation 865 (±368) a 806 (±541) a 1250 (±629) b 1290 (±869) b |
| T141 | 1307-1376 | Sentence | denotes | Population density 485 (±1060) 342 (±1400) 391 (±1500) 164 (±243) |
| T142 | 1377-1469 | Sentence | denotes | Relative frequency of visitors 154 (±329) a 36.1 (±65.4) b 73.8 (±97.4) b 16.4 (±27.2) b |
| T143 | 1470-1554 | Sentence | denotes | GDP per person 50200 (±21500) a 18500 (±18300) b 22200 (±18100) b 5690 (±5430) c |
| T144 | 1555-1645 | Sentence | denotes | BCG vaccination effect -1.37 (±1.42) a 0.752 (±1.37) b 0.467 (±1.51) b 0.88 (±0.694) b |
| T145 | 1646-1763 | Sentence | denotes | Relative frequency of people infected by malaria 0.163 (±1.26) a 2180 (±14200) a 2950 (±31800) a 40100 (±85000) b |