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LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 0-8 SP_7 denotes COVID-19
T2 316-324 SP_7 denotes COVID-19
T3 390-394 CL:0002211 denotes care
T4 390-394 UBERON:0007221 denotes care
T5 395-400 CL:0002486 denotes units
T6 514-522 SP_7 denotes COVID-19
T7 1148-1155 UBERON:0000948 denotes cardiac
T8 1166-1177 UBERON:0001004 denotes respiratory
T9 2042-2050 SP_7 denotes COVID-19

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 0-8 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 127-135 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 316-324 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 409-429 Disease denotes Respiratory diseases http://purl.obolibrary.org/obo/MONDO_0005087
T5 460-472 Disease denotes hypertension http://purl.obolibrary.org/obo/MONDO_0005044
T6 478-486 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T7 514-522 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1113-1125 Disease denotes hypertension http://purl.obolibrary.org/obo/MONDO_0005044
T9 1138-1146 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T10 1148-1164 Disease denotes cardiac diseases http://purl.obolibrary.org/obo/MONDO_0005267
T11 1166-1186 Disease denotes respiratory diseases http://purl.obolibrary.org/obo/MONDO_0005087
T12 2042-2050 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 235-236 http://purl.obolibrary.org/obo/CLO_0001020 denotes à
T2 733-734 http://purl.obolibrary.org/obo/CLO_0001020 denotes A

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 1078-1083 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 1853-1865 http://purl.obolibrary.org/obo/GO_0051179 denotes localization

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 0-8 Disease denotes COVID-19 MESH:C000657245
3 67-76 Disease denotes mortality MESH:D003643
24 316-324 Disease denotes COVID-19 MESH:C000657245
25 409-429 Disease denotes Respiratory diseases MESH:D012140
26 431-440 Disease denotes neoplasms MESH:D009369
27 442-455 Disease denotes cardiopathies MESH:C536187
28 460-472 Disease denotes hypertension MESH:D006973
29 478-486 Disease denotes diabetes MESH:D003920
30 514-522 Disease denotes COVID-19 MESH:C000657245
31 609-618 Disease denotes mortality MESH:D003643
32 978-987 Disease denotes Mortality MESH:D003643
33 1093-1102 Disease denotes mortality MESH:D003643
34 1113-1125 Disease denotes hypertension MESH:D006973
35 1127-1136 Disease denotes neoplasms MESH:D009369
36 1138-1146 Disease denotes diabetes MESH:D003920
37 1148-1164 Disease denotes cardiac diseases MESH:D006331
38 1166-1186 Disease denotes respiratory diseases MESH:D012140
39 1359-1368 Disease denotes mortality MESH:D003643
40 1612-1621 Disease denotes mortality MESH:D003643
41 1687-1696 Disease denotes mortality MESH:D003643
42 1899-1908 Disease denotes mortality MESH:D003643
43 2042-2050 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 460-472 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T2 1113-1125 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-126 Sentence denotes COVID-19: intensive care units, mechanical ventilators, and latent mortality profiles associated with case-fatality in Brazil.
T2 127-258 Sentence denotes COVID-19: unidades de terapia intensiva, ventiladores mecânicos e perfis latentes de mortalidade associados à letalidade no Brasil.
T3 259-408 Sentence denotes In response to the accelerated increase in the number of COVID-19 cases, countries must increase their supply of beds in intensive care units (ICUs).
T4 409-537 Sentence denotes Respiratory diseases, neoplasms, cardiopathies and hypertension, and diabetes are associated with higher COVID-19 case-fatality.
T5 538-732 Sentence denotes The study aimed to identify the regions of Brazil with higher specific mortality rates from these comorbidities and the regions with the greatest shortage of ICU beds and mechanical ventilators.
T6 733-847 Sentence denotes A cross-sectional ecological study was performed in which the units of analysis were the country's Health Regions.
T7 848-1051 Sentence denotes Data were obtained from Brazilian Health Informatics Department - DATASUS (National Registry of Healthcare Establishments - 2019, Mortality Information Systems - 2017, and Population Projections - 2017).
T8 1052-1354 Sentence denotes We calculated the disease group-specific mortality rates for hypertension, neoplasms, diabetes, cardiac diseases, respiratory diseases and the rates of total ICU beds, private ICU beds, ICU beds in the Brazilian Unified National Health System (SUS), and ventilators in the SUS, per 100,000 inhabitants.
T9 1355-1503 Sentence denotes The mortality profile was determined by latent profiles analysis, and the cluster analysis of ICU beds and ventilators used the spatial scan method.
T10 1504-1562 Sentence denotes Kernel maps were constructed for the data's visualization.
T11 1563-1599 Sentence denotes Level of significance was set at 5%.
T12 1600-1645 Sentence denotes Four latent mortality profiles were observed.
T13 1646-1840 Sentence denotes The Health Regions with the highest mean mortality rates were located in regions with shortages of ICU beds and ventilators, especially in parts of the Northeast, Southeast, and South of Brazil.
T14 1841-2070 Sentence denotes The spatial localization of regions with both the highest mortality and shortages of ICU beds/ventilators requires attention by policymakers and public planners to deal efficiently and fairly with the COVID-19 epidemic in Brazil.