
PMC:7060038 / 15789-18805
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
131 | 2507-2514 | Species | denotes | patient | Tax:9606 |
132 | 2719-2726 | Species | denotes | patient | Tax:9606 |
133 | 755-760 | Disease | denotes | fever | MESH:D005334 |
134 | 764-769 | Disease | denotes | cough | MESH:D003371 |
135 | 866-871 | Disease | denotes | fever | MESH:D005334 |
136 | 877-882 | Disease | denotes | cough | MESH:D003371 |
137 | 914-919 | Disease | denotes | fever | MESH:D005334 |
138 | 925-930 | Disease | denotes | cough | MESH:D003371 |
139 | 963-968 | Disease | denotes | fever | MESH:D005334 |
140 | 974-979 | Disease | denotes | cough | MESH:D003371 |
141 | 1015-1020 | Disease | denotes | fever | MESH:D005334 |
142 | 1050-1055 | Disease | denotes | fever | MESH:D005334 |
143 | 2018-2023 | Disease | denotes | fever | MESH:D005334 |
145 | 208-213 | Disease | denotes | error | MESH:D012030 |
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T2 | 2267-2271 | Body_part | denotes | body | http://purl.org/sig/ont/fma/fma256135 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T52 | 437-440 | http://purl.obolibrary.org/obo/CLO_0001313 | denotes | 3–6 |
T53 | 503-505 | http://purl.obolibrary.org/obo/CLO_0001022 | denotes | Li |
T54 | 503-505 | http://purl.obolibrary.org/obo/CLO_0007314 | denotes | Li |
T55 | 985-987 | http://purl.obolibrary.org/obo/CLO_0053794 | denotes | 41 |
T56 | 1109-1115 | http://purl.obolibrary.org/obo/CLO_0001658 | denotes | Active |
T57 | 1458-1460 | http://purl.obolibrary.org/obo/CLO_0001022 | denotes | Li |
T58 | 1458-1460 | http://purl.obolibrary.org/obo/CLO_0007314 | denotes | Li |
T59 | 1822-1823 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T60 | 2153-2154 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T61 | 2254-2260 | http://purl.obolibrary.org/obo/OBI_0000968 | denotes | device |
T62 | 2815-2817 | http://purl.obolibrary.org/obo/CLO_0053794 | denotes | 41 |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T2 | 503-505 | Chemical | denotes | Li | http://purl.obolibrary.org/obo/CHEBI_30145 |
T3 | 1458-1460 | Chemical | denotes | Li | http://purl.obolibrary.org/obo/CHEBI_30145 |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T16 | 755-760 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T17 | 764-769 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
T18 | 866-871 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T19 | 877-882 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
T20 | 914-919 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T21 | 925-930 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
T22 | 963-968 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T23 | 974-979 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
T24 | 1015-1020 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T25 | 1050-1055 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
T26 | 2018-2023 | Phenotype | denotes | fever | http://purl.obolibrary.org/obo/HP_0001945 |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32091395-32109013-27032132 | 1103-1107 | 32109013 | denotes | 2020 |
32091395-19215720-27032133 | 2103-2107 | 19215720 | denotes | 2009 |
32091395-21245928-27032134 | 2124-2128 | 21245928 | denotes | 2011 |
32091395-26296847-27032135 | 2142-2146 | 26296847 | denotes | 2015 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T82 | 0-8 | Sentence | denotes | Table 1. |
T83 | 10-123 | Sentence | denotes | Parameter values estimated in currently available studies, along with accompanying uncertainties and assumptions. |
T84 | 124-257 | Sentence | denotes | Ranges in the final column reflect confidence interval, credible interval, standard error or range reported by each study referenced. |
T85 | 258-359 | Sentence | denotes | Parameter Best estimate (Used in Figure 2) Plausible range (Used in Figure 3) References and notes |
T86 | 360-405 | Sentence | denotes | Mean incubation period 5.5 days Sensitivity: |
T87 | 406-620 | Sentence | denotes | 4.5 or 6.5 days 4.5–6.5 days 3–6 days, n = 4 (Chan et al., 2020)* 5.2 (4.1–7.0) days, n < 425 (Li et al., 2020)† 5.2 (4.4–6.0) days, n = 101 (Lauer et al., 2020)† 6.5 (5.6–7.9) days, n = 88 (Backer et al., 2020)† |
T88 | 621-721 | Sentence | denotes | Incubation period distribution Gamma distribution with mean as above, and standard deviation = 2.25 |
T89 | 722-791 | Sentence | denotes | Percent of cases subclinical (No fever or cough) Best case scenario: |
T90 | 792-816 | Sentence | denotes | 5% Middle case scenario: |
T91 | 817-841 | Sentence | denotes | 25% Worst case scenario: |
T92 | 842-861 | Sentence | denotes | 50% Clinical data: |
T93 | 862-1349 | Sentence | denotes | 83% fever, 67% cough, n = 6 (Chan et al., 2020) 83% fever, 82% cough, n = 99 (Chen et al., 2020) 98% fever, 76% cough, n = 41 (Huang et al., 2020) 43.8% fever at hospital admission, 88.7% fever during hospitalization, n = 1099 (Guan et al., 2020) Active monitoring after repatriation flights or on cruise ships: % asymptomatic at diagnosis 31.2% (111/355) (Japan Ministry of Health, Labor and Welfare, 2020) 65.2% (5 of 8) (Nishiura et al., 2020) 70.0% (7 of 10) (Dorigatti et al., 2020) |
T94 | 1350-1393 | Sentence | denotes | R0 No effect in individual-level analysis. |
T95 | 1395-1753 | Sentence | denotes | 1.5–4.0 2.2 (1.4–3.8) (Riou and Althaus, 2020) 2.2 (1.4–3.9) (Li et al., 2020) 2.6 (1.5–3.5) (Imai et al., 2020) 2.7 (2.5–2.9) (Wu et al., 2020) 4.5 (4.4-4.6) (Liu et al., 2020) 3.8 (3.6-4.0) (Read et al., 2020) 4.08 (3.37–4.77) (Cao et al., 2020) 4.7 (2.8–7.6) (Sanche et al., 2020) 6.3 (3.3-11.3) (Sanche et al., 2020) 6.47 (5.71–7.23) (Tang et al., 2020) |
T96 | 1754-1972 | Sentence | denotes | Percent of travellers aware of exposure risk 20% 5–40% We assume a low percentage, as no specific risk factors have been identified, and known times or sources of exposure are rarely reported in existing line lists. |
T97 | 1973-2148 | Sentence | denotes | Sensitivity of infrared thermal scanners for fever 70% 60–90% Most studies estimated sensitivity between 60–88% (Bitar et al., 2009; Priest et al., 2011; Tay et al., 2015). |
T98 | 2149-2213 | Sentence | denotes | But a handful of studies estimated very low sensitivity (4–30%). |
T99 | 2214-2310 | Sentence | denotes | In general, sensitivity depended on the device used, body area targeted and ambient temperature. |
T100 | 2311-2479 | Sentence | denotes | Probability that travellers self-report exposure risk 25% 5–25% 25% is an upper-bound estimate based on outcomes of past screening initiatives. (Gostic et al., 2015) |
T101 | 2480-2612 | Sentence | denotes | Time from symptom onset to patient isolation (After which we assume travel is not possible) No effect in individual-level analysis. |
T102 | 2614-2895 | Sentence | denotes | 3–7 days Median 7 days from onset to hospitalization (n = 6) (Chan et al., 2020) Mean 2.9 days onset to patient isolation (n = 164) (Liu et al., 2020) Median 7 days from onset to hospitalization (n = 41) (Huang et al., 2020) As awareness increases, times to isolation may decline. |
T103 | 2896-2918 | Sentence | denotes | * From family cluster. |
T104 | 2919-3016 | Sentence | denotes | † Parametric distributions fit to cases with known dates of exposure or travel to and from Wuhan. |
MyTest
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32091395-32109013-27032132 | 1103-1107 | 32109013 | denotes | 2020 |
32091395-19215720-27032133 | 2103-2107 | 19215720 | denotes | 2009 |
32091395-21245928-27032134 | 2124-2128 | 21245928 | denotes | 2011 |
32091395-26296847-27032135 | 2142-2146 | 26296847 | denotes | 2015 |