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PMC:7333997 / 1967-2380 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T13 88-96 SP_7 denotes COVID-19
T11492 88-96 SP_7 denotes COVID-19

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T9 88-96 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T18 130-131 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 156-158 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
17 88-96 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T13 0-10 Sentence denotes Highlights
T14 11-97 Sentence denotes • 12% reduction in the 50 most contaminated capitals during the lockdown by COVID-19.
T15 98-168 Sentence denotes • Dhaka, Kampala and Delhi had a PM2.5 reduction of 14%, 35% and 40%.
T16 169-256 Sentence denotes • The greatest PM2.5 reduction within the data collected is Bogotá, Colombia with 57%.
T17 257-326 Sentence denotes • Kubait City, presents the second largest reduction of PM2.5 (42%).
T18 327-413 Sentence denotes • The greatest PM2.5 reductions occurred in the capitals of America, Asia and Africa.