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PMC:7547912 / 17515-21137 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T17 1388-1396 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T67 96-97 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 429-430 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 500-501 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 705-706 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T71 815-816 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 1170-1171 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T73 1308-1309 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 1665-1666 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T75 1733-1734 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T76 1903-1904 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T77 2009-2010 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T78 2157-2158 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T79 2404-2405 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T80 2501-2502 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T81 2724-2725 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T82 3009-3010 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T103 540-545 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T104 948-953 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T105 961-966 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T106 977-982 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T107 1149-1154 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T108 1210-1213 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T109 1226-1229 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T111 1242-1245 Chemical denotes SO2 http://purl.obolibrary.org/obo/CHEBI_18422
T112 1262-1264 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T113 1965-1968 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T115 1974-1977 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T116 1983-1986 Chemical denotes SO2 http://purl.obolibrary.org/obo/CHEBI_18422
T117 1996-1998 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T118 2096-2098 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T119 2103-2108 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T120 2251-2254 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T122 2256-2259 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T123 2265-2267 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T124 2489-2494 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T125 2609-2612 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T127 2623-2626 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T128 2641-2643 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T129 2674-2676 Chemical denotes O3 http://purl.obolibrary.org/obo/CHEBI_25812
T130 2765-2768 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T132 2770-2773 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T133 2779-2781 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T134 3119-3122 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T136 3135-3138 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T137 3155-3157 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T138 3255-3258 Chemical denotes NO2 http://purl.obolibrary.org/obo/CHEBI_16301|http://purl.obolibrary.org/obo/CHEBI_33101
T140 3260-3263 Chemical denotes NH3 http://purl.obolibrary.org/obo/CHEBI_16134
T141 3269-3271 Chemical denotes CO http://purl.obolibrary.org/obo/CHEBI_17245
T142 3355-3358 Chemical denotes SO2 http://purl.obolibrary.org/obo/CHEBI_18422
T143 3375-3380 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
79 1388-1396 Disease denotes COVID-19 MESH:C000657245
92 467-470 Chemical denotes AQI
93 540-545 Chemical denotes ozone MESH:D010126
94 790-794 Chemical denotes PM10
95 944-947 Chemical denotes AQI
96 948-953 Chemical denotes ozone MESH:D010126
97 955-960 Chemical denotes PM2.5
98 961-966 Chemical denotes ozone MESH:D010126
99 972-976 Chemical denotes PM10
100 977-982 Chemical denotes ozone MESH:D010126
101 1113-1116 Chemical denotes PM2
102 1124-1128 Chemical denotes PM10
103 1149-1154 Chemical denotes ozone MESH:D010126
105 2103-2108 Chemical denotes ozone MESH:D010126
114 2489-2494 Chemical denotes ozone MESH:D010126
115 2609-2612 Chemical denotes NO2
116 2623-2626 Chemical denotes NH3
117 2641-2643 Chemical denotes CO MESH:D002248
118 2674-2676 Chemical denotes O3 MESH:D010126
119 2765-2768 Chemical denotes NO2
120 2770-2773 Chemical denotes NH3
121 2779-2781 Chemical denotes CO MESH:D002248
126 3119-3122 Chemical denotes NO2
127 3255-3258 Chemical denotes NO2
128 3260-3263 Chemical denotes NH3
129 3269-3271 Chemical denotes CO MESH:D002248

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T106 0-28 Sentence denotes Pearson correlation analysis
T107 29-251 Sentence denotes The Pearson correlation coefficient was determined by constructing a heatmap for the concentration of various pollutants (pre and during pandemic confinement) among populous sites of four metropolitan cities of India, viz.
T108 252-326 Sentence denotes ITO, Delhi, Worli, Mumbai, Jadavpur, Kolkata, and Manali Village, Chennai.
T109 328-345 Sentence denotes Site 1—ITO, Delhi
T110 346-576 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 577-750 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 751-934 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 935-1169 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 1170-1312 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 1313-1487 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
T116 1489-1509 Sentence denotes Site 2—Worli, Mumbai
T117 1510-1668 Sentence denotes Product-moment correlation coefficient analysis for site 2 demonstrates the positive correlation between all of the studied pollutants as shown in Fig. 5 (b).
T118 1669-1902 Sentence denotes The highest correlations were confirmed between AQI-PM2.5, with a correlation of 0.97, AQI-PM10, with 0.94, and PM2.5-PM10, with 0.91 which demonstrates PM2.5 and PM10 are the most significant dominating factors in elevating the AQI.
T119 1903-2130 Sentence denotes A correlation value of 0.80, 0.74, 0.72, and 0.86 between AQI-NO2, AQI-NH3, AQI-SO2, and AQI-CO indicates a significant positive relationship, while moderate correlation was determined between CO and ozone concentration (0.53).
T120 2132-2156 Sentence denotes Site 3—Jadavpur, Kolkata
T121 2157-2363 Sentence denotes A significant positive correlation was observed between the prominent pollutants PM2.5, PM10, NO2, NH3, and CO with AQI, i.e., 0.96, 0.95, 0.86, 0.70, and 0.70 respectively in site 3 as shown in Fig. 5 (c).
T122 2364-2653 Sentence denotes This implies the studied pollutants had a great impact on air quality among monitoring station of Jadavpur, Kolkata, whereas ozone shows a negative correlation with AQI (− 0.25), and other studied pollutants i.e., PM2.5 (− 0.32), PM10 (− 0.36), NO2 (− 0.48), NH3 (− 0.50), and CO (− 0.35).
T123 2654-2797 Sentence denotes This indicates mean O3 concentration will significantly increase with a decrease in the mean AQI, PM2.5, PM10, NO2, NH3, and CO concentrations.
T124 2799-2829 Sentence denotes Site 4—Manali Village, Chennai
T125 2830-3044 Sentence denotes Pearson’s correlation heatmap for Manali Village, Chennai demonstrates significant positive correlations for PM2.5 (0.69) and PM10 (0.73) with AQI, while other pollutants exhibit a moderate or negative correlation.
T126 3045-3298 Sentence denotes The lowest values of correlation coefficient were found for the pairs AQI-NO2 (0.26), AQI-NH3 (0.04), and AQI-CO (0.33) indicating mild association between these variables; i.e., the effect of concentration of NO2, NH3, and CO on air quality is minimal.
T127 3299-3520 Sentence denotes However, the approximately zero correlation between AQI-SO2 (0.009) and AQI-ozone (0.01) indicates no linear relationship, but there may be some other strong non-linear relationship between the two variables (Fig. 5 (d)).
T128 3521-3622 Sentence denotes In other words, we can say that the simple linear function cannot describe its relationship in depth.