PMC:7058650 / 13872-14619
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 103 | 69-78 | Species | denotes | 2019-nCoV | Tax:2697049 |
| 104 | 80-90 | Species | denotes | SARS-COV-2 | Tax:2697049 |
| 105 | 92-101 | Disease | denotes | infection | MESH:D007239 |
| 106 | 285-304 | Disease | denotes | 2019-nCoV infection | MESH:C000657245 |
| 107 | 710-728 | Disease | denotes | 2019-nCoV-infected | MESH:C000657245 |
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T2 | 12-15 | Body_part | denotes | map | http://purl.org/sig/ont/fma/fma67847 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T11 | 80-84 | Disease | denotes | SARS | http://purl.obolibrary.org/obo/MONDO_0005091 |
| T12 | 92-101 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
| T13 | 285-304 | Disease | denotes | 2019-nCoV infection | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T14 | 295-304 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T62 | 252-253 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T63 | 346-347 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T64 | 431-432 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T65 | 499-502 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T66 | 682-685 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T67 | 708-709 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T139 | 0-7 | Sentence | denotes | Fig. 1. |
| T140 | 8-108 | Sentence | denotes | The map with the risk index of countries or territories with 2019-nCoV (SARS-COV-2) infection (0-1). |
| T141 | 109-201 | Sentence | denotes | The darker colour indicates higher risk and light blue colour indicates the absence of data. |
| T142 | 202-305 | Sentence | denotes | In general, China and neighbouring countries have a higher risk of transmission of 2019-nCoV infection. |
| T143 | 306-373 | Sentence | denotes | Africa and South America generally have a low risk of transmission. |
| T144 | 374-517 | Sentence | denotes | Ethiopia, South Africa, Egypt, Mauritius and Brazil have a similar risk of transmission to countries where at least one case has been detected. |
| T145 | 518-747 | Sentence | denotes | For example, the risk index of 0.1 for Thailand indicates that based on travel patterns observed during 1–31 January 2020 from four major cities of China, Thailand has 10% risk of importing a 2019-nCoV-infected person from China. |