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PMC:7224658 / 15723-16236 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
135 195-203 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T50 195-203 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T61 226-227 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 239-241 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T63 265-266 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T64 481-483 http://purl.obolibrary.org/obo/CLO_0054055 denotes 71

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T130 42-103 Sentence denotes Figure 5 Scatter plots and single regression lines by region.
T131 104-210 Sentence denotes Table 2 The result of single linear regression between traffic in 2020 and newly confirmed COVID-19 cases.
T132 211-224 Sentence denotes β β t-value p
T133 225-263 Sentence denotes (a) National −52 176.0 −4.17 <0.001***
T134 264-294 Sentence denotes (b) Seoul −3 025.6 −0.72 0.474
T135 295-326 Sentence denotes (c) Incheon 43 146.0 1.94 0.056
T136 327-361 Sentence denotes (d) Gyeonggi −19 180.0 −0.30 0.766
T137 362-397 Sentence denotes (e) Busan −17 895.0 −3.68 <0.001***
T138 398-432 Sentence denotes (f) Daegu −1 778.5 −5.58 <0.001***
T139 433-467 Sentence denotes (g) Gwangju −39 368.0 −2.9 0.005**
T140 468-501 Sentence denotes (h) Daejeon −71 490.0 −1.66 0.100