PMC:7160441 / 8191-8832
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
131 | 143-153 | Species | denotes | SARS-CoV-2 | Tax:2697049 |
132 | 176-184 | Species | denotes | patients | Tax:9606 |
133 | 36-45 | Species | denotes | influenza | Tax:11309 |
134 | 23-31 | Disease | denotes | COVID-19 | MESH:C000657245 |
135 | 111-119 | Disease | denotes | COVID-19 | MESH:C000657245 |
136 | 541-544 | Disease | denotes | HDF | |
137 | 623-631 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T44 | 23-31 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T45 | 36-45 | Disease | denotes | influenza | http://purl.obolibrary.org/obo/MONDO_0005812 |
T46 | 111-119 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T47 | 143-151 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
T48 | 531-534 | Disease | denotes | IDF | http://purl.obolibrary.org/obo/MONDO_0016039 |
T49 | 623-631 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T6 | 397-403 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T81 | 0-126 | Sentence | denotes | The similarity between COVID-19 and influenza symptoms makes it possible that the excess ILI cases were due to COVID-19 cases. |
T82 | 127-211 | Sentence | denotes | The presence of SARS-CoV-2-positive swabs in the patients supports this possibility. |
T83 | 212-328 | Sentence | denotes | The correlation between the number of confirmed cases and the computed excess is also consistent with this scenario. |
T84 | 329-444 | Sentence | denotes | In this case, the excess in cases is compatible with an exponential growth at an estimated rate of ca 0.7 per week. |
T85 | 445-546 | Sentence | denotes | Interestingly, this estimate was very similar in the four most affected regions (GRE, IDF, OCC, HDF). |
T86 | 547-641 | Sentence | denotes | It may prove useful to help calibrate models for studying the impact of the COVID-19 pandemic. |