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PMC:7333997 / 1978-2380 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T13 77-85 SP_7 denotes COVID-19
T11492 77-85 SP_7 denotes COVID-19

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T9 77-85 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T18 119-120 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 145-147 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
17 77-85 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T14 0-86 Sentence denotes • 12% reduction in the 50 most contaminated capitals during the lockdown by COVID-19.
T15 87-157 Sentence denotes • Dhaka, Kampala and Delhi had a PM2.5 reduction of 14%, 35% and 40%.
T16 158-245 Sentence denotes • The greatest PM2.5 reduction within the data collected is Bogotá, Colombia with 57%.
T17 246-315 Sentence denotes • Kubait City, presents the second largest reduction of PM2.5 (42%).
T18 316-402 Sentence denotes • The greatest PM2.5 reductions occurred in the capitals of America, Asia and Africa.