PMC:7160441 / 6035-6597
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 101 | 306-314 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T35 | 306-314 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T34 | 110-111 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T35 | 187-190 | http://purl.obolibrary.org/obo/CLO_0001195 | denotes | 219 |
| T36 | 342-343 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T22 | 4-7 | Chemical | denotes | ARI | http://purl.obolibrary.org/obo/CHEBI_35640 |
| T23 | 198-201 | Chemical | denotes | ARI | http://purl.obolibrary.org/obo/CHEBI_35640 |
| T24 | 359-362 | Chemical | denotes | ARI | http://purl.obolibrary.org/obo/CHEBI_35640 |
| T25 | 417-420 | Chemical | denotes | ARI | http://purl.obolibrary.org/obo/CHEBI_35640 |
LitCovid-PD-GO-BP
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T3 | 493-503 | http://purl.obolibrary.org/obo/GO_0009056 | denotes | break down |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T65 | 0-154 | Sentence | denotes | For ARI, the two positive swabs had been collected in the regions Bourgogne-Franche Comté (BFC) and GRE, from a total of seven swabs in these two regions. |
| T66 | 155-186 | Sentence | denotes | We estimated that 760 (95% CrI: |
| T67 | 187-371 | Sentence | denotes | 219–1,706) ARI consultations in those older than 65 years in these two regions (BFC and GRE) could have been caused by COVID-19 during week 10 (2 in 7 for a total of 2,600 ARI visits). |
| T68 | 372-562 | Sentence | denotes | We did not pursue modelling excess cases for ARI as the time series (shown in the Supplement) were too noisy to properly break down the data into an expected seasonal part plus excess cases. |