LitCovid-sentences  

PubMed:32520290 JSONTXT 22 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T1 0-89 Sentence denotes Spatial Analysis of COVID-19 cases and intensive care beds in the State of Ceará, Brazil.
T2 90-186 Sentence denotes Análise Espacial dos Casos de COVID-19 e leitos de terapia intensiva no estado do Ceará, Brasil.
T3 187-297 Sentence denotes The geographical distribution of COVID-19 through Geographic Information Systems resources is hardly explored.
T4 298-421 Sentence denotes We aimed to analyze the distribution of COVID-19 cases and the exclusive intensive care beds in the state of Ceará, Brazil.
T5 422-539 Sentence denotes This is an ecological study with the geographic distribution of the case detection coefficient in 184 municipalities.
T6 540-684 Sentence denotes Maps of crude and estimated values (global and local Bayesian method) were developed, calculating the Moran index and using BoxMap and MoranMap.
T7 685-750 Sentence denotes Intensive care beds were distributed through geolocalized points.
T8 751-799 Sentence denotes In total, 3,000 cases and 459 beds were studied.
T9 800-914 Sentence denotes The highest rates were found in the capital Fortaleza, the Metropolitan Region (MR), and the south of this region.
T10 915-1008 Sentence denotes A positive spatial autocorrelation has been identified in the local Bayesian rate (I = 0.66).
T11 1009-1152 Sentence denotes The distribution of beds superimposed on the BoxMap shows clusters with a High-High pattern of number of beds (capital, MR, northwestern part).
T12 1153-1248 Sentence denotes However, a similar pattern is found in the far east or transition areas with insufficient beds.
T13 1249-1316 Sentence denotes The MoranMap shows clusters statistically significant in the state.
T14 1317-1487 Sentence denotes COVID-19 interiorization in Ceará requires contingency measures geared to the distribution of specific intensive care beds for COVID-19 cases in order to meet the demand.