PMC:7060038 / 48668-50062
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
337 | 545-549 | Gene | denotes | ship | Gene:3635 |
338 | 1236-1240 | Gene | denotes | ship | Gene:3635 |
339 | 168-172 | Gene | denotes | ship | Gene:3635 |
340 | 614-623 | Disease | denotes | infection | MESH:D007239 |
341 | 818-823 | Disease | denotes | fever | MESH:D005334 |
342 | 827-832 | Disease | denotes | cough | MESH:D003371 |
343 | 1211-1221 | Disease | denotes | infections | MESH:D007239 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T51 | 614-623 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
T52 | 942-951 | Disease | denotes | Pneumonia | http://purl.obolibrary.org/obo/MONDO_0005249 |
T53 | 1211-1221 | Disease | denotes | infections | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T171 | 110-116 | http://purl.obolibrary.org/obo/CLO_0001658 | denotes | active |
T172 | 159-160 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T173 | 444-445 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T174 | 748-749 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T175 | 1081-1082 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T176 | 1153-1154 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T48 | 818-823 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T49 | 827-832 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
T50 | 942-951 | Phenotype | denotes | Pneumonia | http://purl.obolibrary.org/obo/HP_0002090 |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32091395-32064853-27032145 | 990-994 | 32064853 | denotes | 2020 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T299 | 0-29 | Sentence | denotes | Fraction of subclinical cases |
T300 | 30-235 | Sentence | denotes | To estimate the upper-bound fraction of subclinical cases, we draw on data from active surveillance of passengers quarantined on a cruise ship off the coast of Japan, or passengers of repatriation flights. |
T301 | 236-401 | Sentence | denotes | These data show that 50–70% of cases are asymptomatic at the time of diagnosis (Dorigatti et al., 2020; Nishiura et al., 2020; Schnirring, 2020c; Schnirring, 2020b). |
T302 | 402-667 | Sentence | denotes | We estimate that 50% subclinical cases is a reasonable upper bound: due to intensive monitoring, cases in repatriated individuals or in cruise ship passengers will be detected earlier than usual in the course of infection--and possibly before the onset of symptoms. |
T303 | 668-1016 | Sentence | denotes | From clinical data (where severe cases are likely overrepresented), we estimate a lower bound of 5%: even among clinically attended cases, 2–15% lack fever or cough, and would be undetectable in symptom screening (Chan et al., 2020; Chen et al., 2020; The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team, 2020; Huang et al., 2020). |
T304 | 1017-1152 | Sentence | denotes | In addition to the upper and lower bound scenarios, we consider a plausible middle-case scenario in which 25% of cases are subclinical. |
T305 | 1153-1394 | Sentence | denotes | A very recent delay-adjusted estimate indicates 30-40% of infections on the cruise ship quarantined off the coast of Japan are asymptomatic, so the truth may fall somewhere between our middle and worst-case scenarios (Mizumoto et al., 2020). |
MyTest
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32091395-32064853-27032145 | 990-994 | 32064853 | denotes | 2020 |