> top > docs > PMC:7224658 > spans > 8080-9043 > annotations

PMC:7224658 / 8080-9043 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
88 751-759 Species denotes patients Tax:9606
89 458-466 Disease denotes COVID-19 MESH:C000657245
90 634-642 Disease denotes COVID-19 MESH:C000657245
91 742-750 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T30 458-466 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 634-642 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 742-750 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T32 173-174 http://purl.obolibrary.org/obo/CLO_0001020 denotes A

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T63 0-20 Sentence denotes Statistical analysis
T64 21-172 Sentence denotes First, the mean daily nationwide traffic was calculated for each week, starting from January 1, 2020, to compare traffic volumes between 2019 and 2020.
T65 173-253 Sentence denotes A daily average was used because the 2020 data included the date of February 29.
T66 254-413 Sentence denotes Mean daily nationwide traffic was compared between 2019 and 2020 using the following equation:(1) gap = mean daily traffic in 2019 − mean daily traffic in 2020
T67 414-496 Sentence denotes Second, trends in nationwide traffic and in COVID-19 cases were analyzed for 2020.
T68 497-622 Sentence denotes For the trends in nationwide traffic in 2020, non-linear regression was performed to analyze the change in traffic over time.
T69 623-704 Sentence denotes Trends for COVID-19 were analyzed using the numbers of daily new confirmed cases.
T70 705-805 Sentence denotes The relationship between traffic and COVID-19 patients was analyzed using single linear regressions.
T71 806-963 Sentence denotes The resulting regression coefficient, t-ratio, and p-value were used to evaluate the correlation between traffic and the number of daily new confirmed cases.