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PMC:7547912 / 17861-19002 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T17 1042-1050 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T68 83-84 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 154-155 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 359-360 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 469-470 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 824-825 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T73 962-963 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T103 194-199 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T104 602-607 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T105 615-620 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T106 631-636 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T107 803-808 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T108 864-867 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T109 880-883 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T111 896-899 Chemical denotes SO2 http://purl.obolibrary.org/obo/CHEBI_18422
T112 916-918 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
79 1042-1050 Disease denotes COVID-19 MESH:C000657245
92 121-124 Chemical denotes AQI
93 194-199 Chemical denotes ozone MESH:D010126
94 444-448 Chemical denotes PM10
95 598-601 Chemical denotes AQI
96 602-607 Chemical denotes ozone MESH:D010126
97 609-614 Chemical denotes PM2.5
98 615-620 Chemical denotes ozone MESH:D010126
99 626-630 Chemical denotes PM10
100 631-636 Chemical denotes ozone MESH:D010126
101 767-770 Chemical denotes PM2
102 778-782 Chemical denotes PM10
103 803-808 Chemical denotes ozone MESH:D010126

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T110 0-230 Sentence denotes At this site, the perfect positive correlation was observed between AQI and PM2.5, a strong positive correlation between AQI-PM10 and PM2.5-PM10, whereas a negative correlation was observed for ozone with AQI and other pollutants.
T111 231-404 Sentence denotes The correlation coefficient between AQI-PM2.5, AQI-PM10, and PM2.5-PM10 was found as 0.98, 0.82, and 0.77 respectively, showing a significantly higher positive relationship.
T112 405-588 Sentence denotes This indicate the changes in PM2.5 and PM10 concentrations have a great influence on AQI content; i.e., an increase in their concentration will directly elevate the air quality index.
T113 589-823 Sentence denotes Besides, AQI-ozone, PM2.5-ozone, and PM10-ozone confirmed low negatively correlated variables, i.e., − 0.31, − 0.38, and − 0.18 respectively indicating the higher values of AQI, PM2.5, and PM10 will lower down the ozone concentration.
T114 824-966 Sentence denotes A feeble correlation exists between AQI-NH3 (0.46), AQI-NO2 (0.38), AQI-SO2 (0.28), and AQI-CO (0.11) showing mild effect on AQI (Fig. 5 (a)).
T115 967-1141 Sentence denotes Fig. 5 Pearson’s correlation heatmap for air pollutants during the pre and COVID-19 pandemic confinement, 2020 among populous sites of four major metropolitan cities in India