PMC:7078825 / 9699-10652
Annnotations
LitCovid-PMC-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T47 | 0-8 | SP_7 | denotes | COVID-19 |
T46 | 552-564 | GO:0065007 | denotes | surveillance |
T45 | 735-746 | UBERON:0001004 | denotes | respiratory |
T44 | 930-937 | GO:0065007 | denotes | control |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T34 | 0-8 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T35 | 32-50 | Disease | denotes | infectious disease | http://purl.obolibrary.org/obo/MONDO_0005550 |
T36 | 654-663 | Disease | denotes | influenza | http://purl.obolibrary.org/obo/MONDO_0005812 |
T37 | 669-681 | Disease | denotes | dengue fever | http://purl.obolibrary.org/obo/MONDO_0005502 |
T38 | 697-701 | Disease | denotes | Zika | http://purl.obolibrary.org/obo/MONDO_0018661 |
T39 | 707-714 | Disease | denotes | measles | http://purl.obolibrary.org/obo/MONDO_0004619 |
T40 | 805-815 | Disease | denotes | infectious | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T26 | 12-13 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T27 | 111-112 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T28 | 610-613 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T75 | 0-152 | Sentence | denotes | COVID-19 is a rapidly spreading infectious disease with, at the time of submission, more than 80,000 cases and a mortality so far known to be 3.4% [10]. |
T76 | 153-297 | Sentence | denotes | It is important to predict the development of this outbreak as early and as reliably as possible, in order to take action to prevent its spread. |
T77 | 298-530 | Sentence | denotes | Our data showed that the two popularly used Internet search engines, Google and Baidu, and the social media platform, Sina Weibo, were able to predict the disease outbreak 1–2 weeks earlier than the traditional surveillance systems. |
T78 | 531-760 | Sentence | denotes | The role of Internet surveillance tools in early prediction of other epidemics has been reported previously, including for influenza [4], dengue fever [5], H1N1 [6], Zika [7], measles [8] and Middle East respiratory syndrome [9]. |
T79 | 761-953 | Sentence | denotes | The availability of early information about infectious diseases through Internet search engines and social media will be helpful for making decisions related to disease control and prevention. |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T16 | 676-681 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32183935-19020500-29321489 | 665-666 | 19020500 | denotes | 4 |
32183935-28719659-29321490 | 683-684 | 28719659 | denotes | 5 |
32183935-19941777-29321491 | 693-694 | 19941777 | denotes | 6 |
32183935-27251981-29321492 | 703-704 | 27251981 | denotes | 7 |
32183935-31268123-29321493 | 716-717 | 31268123 | denotes | 8 |
32183935-27595921-29321494 | 757-758 | 27595921 | denotes | 9 |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
120 | 416-420 | Species | denotes | Sina | Tax:647292 |
122 | 0-8 | Disease | denotes | COVID-19 | MESH:C000657245 |
123 | 32-50 | Disease | denotes | infectious disease | MESH:D003141 |
124 | 113-122 | Disease | denotes | mortality | MESH:D003643 |
125 | 676-681 | Disease | denotes | fever | MESH:D005334 |
126 | 723-755 | Disease | denotes | Middle East respiratory syndrome | MESH:D018352 |
127 | 805-824 | Disease | denotes | infectious diseases | MESH:D003141 |
MyTest
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32183935-19020500-29321489 | 665-666 | 19020500 | denotes | 4 |
32183935-28719659-29321490 | 683-684 | 28719659 | denotes | 5 |
32183935-19941777-29321491 | 693-694 | 19941777 | denotes | 6 |
32183935-27251981-29321492 | 703-704 | 27251981 | denotes | 7 |
32183935-31268123-29321493 | 716-717 | 31268123 | denotes | 8 |
32183935-27595921-29321494 | 757-758 | 27595921 | denotes | 9 |