PMC:7547912 / 3001-3976 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T1","span":{"begin":961,"end":965},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma25056"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T8","span":{"begin":59,"end":67},"obj":"Disease"},{"id":"T9","span":{"begin":528,"end":536},"obj":"Disease"}],"attributes":[{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T14","span":{"begin":603,"end":606},"obj":"http://purl.obolibrary.org/obo/CLO_0051582"},{"id":"T15","span":{"begin":668,"end":669},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T16","span":{"begin":677,"end":682},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T17","span":{"begin":742,"end":743},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T18","span":{"begin":826,"end":827},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T17","span":{"begin":331,"end":334},"obj":"Chemical"},{"id":"T19","span":{"begin":336,"end":339},"obj":"Chemical"},{"id":"T20","span":{"begin":341,"end":344},"obj":"Chemical"},{"id":"T21","span":{"begin":346,"end":348},"obj":"Chemical"},{"id":"T22","span":{"begin":354,"end":359},"obj":"Chemical"},{"id":"T23","span":{"begin":744,"end":750},"obj":"Chemical"},{"id":"T25","span":{"begin":780,"end":786},"obj":"Chemical"}],"attributes":[{"id":"A17","pred":"chebi_id","subj":"T17","obj":"http://purl.obolibrary.org/obo/CHEBI_16301"},{"id":"A18","pred":"chebi_id","subj":"T17","obj":"http://purl.obolibrary.org/obo/CHEBI_33101"},{"id":"A19","pred":"chebi_id","subj":"T19","obj":"http://purl.obolibrary.org/obo/CHEBI_16134"},{"id":"A20","pred":"chebi_id","subj":"T20","obj":"http://purl.obolibrary.org/obo/CHEBI_18422"},{"id":"A21","pred":"chebi_id","subj":"T21","obj":"http://purl.obolibrary.org/obo/CHEBI_17245"},{"id":"A22","pred":"chebi_id","subj":"T22","obj":"http://purl.obolibrary.org/obo/CHEBI_25812"},{"id":"A23","pred":"chebi_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/CHEBI_30512"},{"id":"A24","pred":"chebi_id","subj":"T23","obj":"http://purl.obolibrary.org/obo/CHEBI_9141"},{"id":"A25","pred":"chebi_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/CHEBI_27594"},{"id":"A26","pred":"chebi_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/CHEBI_33415"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}

{"project":"LitCovid-PubTator","denotations":[{"id":"27","span":{"begin":677,"end":682},"obj":"Species"},{"id":"28","span":{"begin":907,"end":918},"obj":"Species"},{"id":"29","span":{"begin":354,"end":359},"obj":"Chemical"},{"id":"30","span":{"begin":744,"end":750},"obj":"Chemical"},{"id":"31","span":{"begin":780,"end":786},"obj":"Chemical"},{"id":"32","span":{"begin":59,"end":67},"obj":"Disease"},{"id":"33","span":{"begin":528,"end":536},"obj":"Disease"}],"attributes":[{"id":"A27","pred":"tao:has_database_id","subj":"27","obj":"Tax:9606"},{"id":"A28","pred":"tao:has_database_id","subj":"28","obj":"Tax:11118"},{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"MESH:D010126"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"MESH:D012834"},{"id":"A31","pred":"tao:has_database_id","subj":"31","obj":"MESH:D002244"},{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"MESH:C000657245"},{"id":"A33","pred":"tao:has_database_id","subj":"33","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}

{"project":"LitCovid-sentences","denotations":[{"id":"T21","span":{"begin":0,"end":403},"obj":"Sentence"},{"id":"T22","span":{"begin":404,"end":573},"obj":"Sentence"},{"id":"T23","span":{"begin":574,"end":702},"obj":"Sentence"},{"id":"T24","span":{"begin":703,"end":975},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Keeping in view the above, in the present study, impact of COVID-19 confinement on air qualities among the populous site of four major metropolitan cities in India (i.e., site 1—ITO, Delhi; site 2—Worli, Mumbai; site 3—Jadavpur, Kolkata; and site 4—Manali Village, Chennai) were determined by evaluating alteration in PM2.5, PM10, NO2, NH3, SO2, CO, and ozone level from January 1, 2020 to May 31, 2020. Pearson product-moment correlation coefficient (PPMCC)-based model analysis was also proposed which determine the impact of COVID-19 pandemic confinement on air quality. Overall pandemic confinement has allowed the environment for detoxifying and renews itself in a lesser human interference phase. Environmental analysts designate it as a silver lining in terms of decreased carbon and waste emission but recognize it as a flawed perspective due to the expectation that the AQI levels to return as the coronavirus vanish and in some cases, they could come back strongly."}