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PMC:7333997 / 9228-10867 JSONTXT

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LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T59 474-482 SP_7 denotes COVID-19

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T24 474-482 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T71 32-33 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 1212-1218 http://purl.obolibrary.org/obo/CLO_0001929 denotes Berlin
T73 1391-1394 http://purl.obolibrary.org/obo/CLO_0051582 denotes has

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
86 448-457 Disease denotes paralysis MESH:D010243
87 474-482 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T53 0-14 Sentence denotes 2 Methodology
T54 15-171 Sentence denotes In the year 2019 a study was presented on Meteosim online platform where they made an analysis on the most polluting capitals in the world (Meteosim, 2019).
T55 172-369 Sentence denotes This research indicates that one of the most dangerous pollutants is fine particulate matter with diameters ≤2.5 μm (PM2.5), so the analysis of the fifty most contaminated capitals was carried out.
T56 370-579 Sentence denotes Based on the above information and according to the automotive and industrial paralysis in the world by COVID-19, for this research they were collected the PM2.5 data from an online platform (WAQ Index, 2020).
T57 580-808 Sentence denotes This tool, called World Air Quality Index (WAQI) is used for obtained the information historical of Air Quality Data in especial for this paper of PM2.5 particulate matter of each capital before quarantine and during quarantine.
T58 809-936 Sentence denotes For each capital city, the information was corroborated with the territorial entity of data administration at the public level.
T59 937-1058 Sentence denotes For example, Bogotá, Colombia was verified on the IBOCA platform of the Secretary of the Environment (Environment, 2019).
T60 1059-1207 Sentence denotes For Delhi, India was verified on the Real Time Ambient Air Quality Data Platform of the Department of Environment (Department of Environment, 2020).
T61 1208-1314 Sentence denotes For Berlin, Germany was verify with the Umwelt Bundesamt platform of the German Environment Agency (2020).
T62 1315-1339 Sentence denotes And so on for each city.
T63 1340-1429 Sentence denotes In this context, the research process in the paper has been divided into five main steps.
T64 1430-1432 Sentence denotes 1.
T65 1433-1487 Sentence denotes Identification of the 50 most polluted capital cities.
T66 1488-1490 Sentence denotes 2.
T67 1491-1528 Sentence denotes Review of the quarantine information.
T68 1529-1531 Sentence denotes 3.
T69 1532-1587 Sentence denotes Data collection of population and the weather stations.
T70 1588-1590 Sentence denotes 4.
T71 1591-1613 Sentence denotes PM2.5 Data extraction.
T72 1614-1616 Sentence denotes 5.
T73 1617-1639 Sentence denotes Graphics and analysis.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T8 448-457 Phenotype denotes paralysis http://purl.obolibrary.org/obo/HP_0003470