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PMC:7547912 / 3997-5357 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T10 1144-1152 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T19 425-429 http://purl.obolibrary.org/obo/CLO_0001568 denotes a 24
T20 650-654 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T21 728-729 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 1184-1185 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T27 389-392 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T29 394-397 Chemical denotes SO2 http://purl.obolibrary.org/obo/CHEBI_18422
T30 399-402 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T31 404-406 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T32 408-410 Chemical denotes O3 http://purl.obolibrary.org/obo/CHEBI_25812
T33 416-418 Chemical denotes Pb http://purl.obolibrary.org/obo/CHEBI_25016|http://purl.obolibrary.org/obo/CHEBI_27889|http://purl.obolibrary.org/obo/CHEBI_49807
T36 834-836 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T37 841-843 Chemical denotes O3 http://purl.obolibrary.org/obo/CHEBI_25812

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
42 1068-1074 Species denotes people Tax:9606
43 1082-1090 Species denotes children Tax:9606
44 404-406 Chemical denotes CO MESH:D002248
45 408-410 Chemical denotes O3 MESH:D010126
46 416-418 Chemical denotes Pb MESH:D007854
47 834-836 Chemical denotes CO MESH:D002248
48 841-843 Chemical denotes O3 MESH:D010126
49 1144-1152 Disease denotes COVID-19 MESH:C000657245

2_test

Id Subject Object Predicate Lexical cue
33040289-32783875-28470647 1270-1274 32783875 denotes 2020

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T26 0-131 Sentence denotes Air quality index (AQI) reports daily air quality and its elevated level is associated with public health risks (Szyszkowicz 2019).
T27 132-283 Sentence denotes Based on different national quality standards and dose-response relationships of pollutants, countries have different air quality indices (Zhang et al.
T28 284-302 Sentence denotes 2020; Sofia et al.
T29 303-309 Sentence denotes 2020).
T30 310-454 Sentence denotes The Indian national air quality index considers eight pollutants (PM10, PM2.5, NO2, SO2, NH3, CO, O3, and Pb) with a 24-hourly averaging period.
T31 455-675 Sentence denotes It is subdivided into six categories i.e., good (0–50), satisfactory (51–100), moderately polluted (101–200), poor (201–300), very poor (301–400), and severe (401–500) as shown in Fig. 1 (Perera 2018; Ghorani-Azam et al.
T32 676-682 Sentence denotes 2016).
T33 683-887 Sentence denotes The sub-indices for individual pollutants at a monitoring location are calculated using its 24-hourly average concentration value (8-hourly in case of CO and O3) and health breakpoint concentration range.
T34 888-974 Sentence denotes The worst sub-index is the AQI for that location (https://app.cpcbccr.com/AQI_India/).
T35 975-1107 Sentence denotes An increment in AQI causes acute and chronic mode health concern especially in the older age people and in children (Januszek et al.
T36 1108-1125 Sentence denotes 2020; Pant et al.
T37 1126-1132 Sentence denotes 2020).
T38 1133-1269 Sentence denotes Due to the COVID-19 pandemic confinement, there is a significant reduction in the level of such toxic pollutants globally (Selvam et al.
T39 1270-1300 Sentence denotes 2020; Singh and Chauhan 2020).
T40 1301-1360 Sentence denotes Fig. 1 Indian national air quality index—category and range

MyTest

Id Subject Object Predicate Lexical cue
33040289-32783875-28470647 1270-1274 32783875 denotes 2020