PubMed:32520108
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T1 | 69-77 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T2 | 191-199 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T3 | 337-345 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T4 | 437-445 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T5 | 656-664 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T6 | 1064-1072 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 176-178 | http://www.ebi.ac.uk/efo/EFO_0000265 | denotes | da |
T2 | 229-238 | http://purl.obolibrary.org/obo/BFO_0000030 | denotes | OBJECTIVE |
T3 | 408-409 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T4 | 1101-1107 | http://purl.obolibrary.org/obo/SO_0000418 | denotes | signal |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
1 | 69-77 | Disease | denotes | COVID-19 | MESH:C000657245 |
6 | 337-345 | Disease | denotes | COVID-19 | MESH:C000657245 |
7 | 437-445 | Disease | denotes | COVID-19 | MESH:C000657245 |
8 | 656-664 | Disease | denotes | COVID-19 | MESH:C000657245 |
9 | 1064-1072 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 0-113 | Sentence | denotes | Evolution of indicators and service capacity at the beginning of the COVID-19 epidemic in Northeast Brazil, 2020. |
T2 | 114-228 | Sentence | denotes | Evolução de indicadores e capacidade de atendimento no início da epidemia de COVID-19 no Nordeste do Brasil, 2020. |
T3 | 229-389 | Sentence | denotes | OBJECTIVE: to describe the evolution of indicators and capacity for health care in the initial phase of the COVID-19 epidemic in the Northeast region of Brazil. |
T4 | 390-537 | Sentence | denotes | METHODS: this was a descriptive study based on COVID-19 case epidemiological bulletins released by the Ministry of Health up until April 1st, 2020. |
T5 | 538-621 | Sentence | denotes | The incidence rate, lethality and number of cumulative daily cases were calculated. |
T6 | 622-630 | Sentence | denotes | RESULTS: |
T7 | 631-721 | Sentence | denotes | 1,005 confirmed cases of COVID-19 were identified, most of them in Ceará and Bahia states. |
T8 | 722-792 | Sentence | denotes | The incidence rate was 1.8/100,000 inhabitants and lethality was 2.7%. |
T9 | 793-886 | Sentence | denotes | Ceará was the state with the highest number of cases, with 29.6 new cases per day on average. |
T10 | 887-1023 | Sentence | denotes | Average intensive care bed availability in the Northeast region (1.04/10,000 inhab.) was below the national average (2.8/10,000 inhab.). |
T11 | 1024-1166 | Sentence | denotes | CONCLUSION: the indicators suggest that COVID-19 impact is heterogeneous and signal the challenges for health systems in the Northeast Region. |
ENG_NER_NEL_CONSENSUS
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T10 | 542-551 | MESH:D015994 | denotes | incidence |
T12 | 656-664 | DOID:0080600 | denotes | COVID-19 |
T16 | 726-735 | MESH:D015994 | denotes | incidence |
T2 | 337-345 | DOID:0080600 | denotes | COVID-19 |
T22 | 1064-1072 | DOID:0080600 | denotes | COVID-19 |
T23 | 337-345 | MESH:D000086382 | denotes | COVID-19 |
T24 | 437-445 | MESH:D000086382 | denotes | COVID-19 |
T25 | 656-664 | MESH:D000086382 | denotes | COVID-19 |
T26 | 1064-1072 | MESH:D000086382 | denotes | COVID-19 |
T6 | 437-445 | DOID:0080600 | denotes | COVID-19 |
T27 | 297-303 | MESH:D006262 | denotes | health |
T28 | 505-511 | MESH:D006262 | denotes | Health |
T29 | 1083-1096 | HP:0001425 | denotes | heterogeneous |
T30 | 1127-1133 | MESH:D006262 | denotes | health |
ENG_RE_CONSENSUS
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T0 | 337-345 | DOID_0080600 | denotes | COVID-19 |
T1 | 437-445 | DOID_0080600 | denotes | COVID-19 |
T2 | 656-664 | DOID_0080600 | denotes | COVID-19 |
T3 | 1064-1072 | DOID_0080600 | denotes | COVID-19 |
T4 | 1083-1096 | HP_0001425 | denotes | heterogeneous |
R1 | T3 | T4 | effect | COVID-19,heterogeneous |