PMC:7001239 / 11979-13242
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 169 | 297-306 | Species | denotes | 2019-nCoV | Tax:2697049 |
| 170 | 472-477 | Species | denotes | human | Tax:9606 |
| 171 | 657-662 | Species | denotes | human | Tax:9606 |
| 172 | 666-671 | Species | denotes | human | Tax:9606 |
| 173 | 692-701 | Species | denotes | 2019-nCoV | Tax:2697049 |
| 174 | 862-875 | Species | denotes | coronaviruses | Tax:11118 |
| 175 | 398-406 | Disease | denotes | zoonotic | MESH:D015047 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T98 | 61-64 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T99 | 132-133 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T100 | 462-468 | http://purl.obolibrary.org/obo/NCBITaxon_33208 | denotes | animal |
| T101 | 472-477 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
| T102 | 603-604 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T103 | 657-662 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
| T104 | 666-671 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
| T105 | 717-722 | http://purl.obolibrary.org/obo/CLO_0009985 | denotes | focus |
| T106 | 1042-1043 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T107 | 1154-1155 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T88 | 0-89 | Sentence | denotes | Our analysis, while limited because of the scarcity of data, has two important strengths. |
| T89 | 90-536 | Sentence | denotes | Firstly, it is based on the simulation of a wide range of possibilities regarding epidemic parameters and allows for the full propagation on the final estimates of the many remaining uncertainties regarding 2019-nCoV and the situation in Wuhan: on the actual size of the epidemic, on the size of the initial zoonotic event at the wet market, on the date(s) of the initial animal-to-human transmission event(s) and on the generation time interval. |
| T90 | 537-702 | Sentence | denotes | As it accounts for all these uncertainties, our analysis provides a summary of the current state of knowledge about the human-to-human transmissibility of 2019-nCoV. |
| T91 | 703-882 | Sentence | denotes | Secondly, its focus on the possibility of superspreading events by using negative-binomial offspring distributions appears relevant in the context of emerging coronaviruses [7,8]. |
| T92 | 883-1082 | Sentence | denotes | While our estimate of k remains imprecise, the simulations suggest that very low values of k < 0.1 are less likely than higher values < 0.1 that correspond to a more homogeneous transmission pattern. |
| T93 | 1083-1263 | Sentence | denotes | However, values of k in the range of 0.1–0.2 are still compatible with a small risk of occurrence of large superspreading events, especially impactful in hospital settings [15,16]. |
2_test
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32019669-16292310-29338359 | 877-878 | 16292310 | denotes | 7 |
| 32019669-25932579-29338360 | 879-880 | 25932579 | denotes | 8 |
| 32019669-26539018-29338361 | 1256-1258 | 26539018 | denotes | 15 |
| 32019669-23782161-29338362 | 1259-1261 | 23782161 | denotes | 16 |
MyTest
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32019669-16292310-29338359 | 877-878 | 16292310 | denotes | 7 |
| 32019669-25932579-29338360 | 879-880 | 25932579 | denotes | 8 |
| 32019669-26539018-29338361 | 1256-1258 | 26539018 | denotes | 15 |
| 32019669-23782161-29338362 | 1259-1261 | 23782161 | denotes | 16 |