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PMC:7224658 / 12816-13562 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
114 578-583 Chemical denotes Daegu
115 447-455 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T41 447-455 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T51 78-79 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T52 255-256 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 413-414 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T113 0-170 Sentence denotes As shown by the regional traffic trend curves in Figure 4, all regions showed a decreasing trend for traffic in February, which shifted to an increasing trend from March.
T114 171-362 Sentence denotes In particular, there was almost no change in traffic in Seoul, while Incheon showed a continuous decrease in traffic from January that shifted to an increasing trend from the end of February.
T115 363-522 Sentence denotes In Gyeonggi, traffic increased in January, showed a slight decrease after the first COVID-19 case, and then switched to an increasing trend again from March 7.
T116 523-574 Sentence denotes In Sejong, the traffic suddenly increased in March.
T117 575-746 Sentence denotes In Daegu, the traffic decreased significantly compared with other regions in February, and shifted to an increasing trend in March; however, overall traffic was still low.