PMC:7425568 / 10646-12146
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T17 | 244-252 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T18 | 1006-1014 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T19 | 1135-1145 | Disease | denotes | alcoholism | http://purl.obolibrary.org/obo/MONDO_0002046|http://purl.obolibrary.org/obo/MONDO_0007079 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T47 | 99-100 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T48 | 561-564 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
T49 | 1203-1204 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T50 | 1355-1356 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T51 | 1481-1482 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T5 | 234-240 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T8 | 828-832 | Phenotype | denotes | pain | http://purl.obolibrary.org/obo/HP_0012531 |
T9 | 1135-1145 | Phenotype | denotes | alcoholism | http://purl.obolibrary.org/obo/HP_0030955 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T58 | 0-170 | Sentence | denotes | The final question to consider is how many more deaths would have resulted if the US had opted for a more limited lockdown that was much less hazardous to the US economy. |
T59 | 171-421 | Sentence | denotes | It is clear that anticontagion policies significantly slow the growth of COVID‐19, but what policies and how much slowing are optimal? https://www.nature.com/articles/s41586‐020‐2405‐7. https://www.nature.com/articles/s41586‐020‐2404‐8_reference.pdf. |
T60 | 422-549 | Sentence | denotes | The best example of what might have happened is found in Sweden, and that country is an imperfect surrogate for the US economy. |
T61 | 550-644 | Sentence | denotes | Sweden now has one of the highest COVID death rates in the world—almost 44 per 100,000 people. |
T62 | 645-699 | Sentence | denotes | The number of U.S. deaths per 100,000 is just over 32. |
T63 | 700-851 | Sentence | denotes | In Denmark, this number is 10, and in Norway, less than 5. https://www.bostonherald.com/2020/06/08/sweden‐backtracks‐on‐its‐low‐pain‐coronavirus‐plan/. |
T64 | 852-944 | Sentence | denotes | Sweden’s plan is now considered to be less than optimal, but what if the US had followed it? |
T65 | 945-1015 | Sentence | denotes | How many additional net deaths would we have suffered due to COVID‐19? |
T66 | 1016-1146 | Sentence | denotes | How many fewer deaths would we have suffered from postponing health interventions, suicide, and domestic violence, and alcoholism? |
T67 | 1147-1224 | Sentence | denotes | Let us assume 100,000 additional deaths for the sake of a simple calculation. |
T68 | 1225-1337 | Sentence | denotes | To save these 100,000 individuals, the cost to the economy was $9 trillion, or $90 million per statistical life. |
T69 | 1338-1500 | Sentence | denotes | And keep in mind a large component of these individuals could have an economic life valuation much less than the $10 million standard value of a statistical life. |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
101 | 637-643 | Species | denotes | people | Tax:9606 |
102 | 833-844 | Species | denotes | coronavirus | Tax:11118 |
103 | 48-54 | Disease | denotes | deaths | MESH:D003643 |
104 | 244-252 | Disease | denotes | COVID‐19 | MESH:C000657245 |
105 | 584-595 | Disease | denotes | COVID death | MESH:C000657245 |
106 | 664-670 | Disease | denotes | deaths | MESH:D003643 |
107 | 969-975 | Disease | denotes | deaths | MESH:D003643 |
108 | 1006-1014 | Disease | denotes | COVID‐19 | MESH:C000657245 |
109 | 1031-1037 | Disease | denotes | deaths | MESH:D003643 |
110 | 1135-1145 | Disease | denotes | alcoholism | MESH:D000437 |
111 | 1180-1186 | Disease | denotes | deaths | MESH:D003643 |