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Air pollution in Delhi, India: It’s status and association with respiratory diseases

The policymakers need research studies indicating the role of different pollutants with morbidity for polluted cities to install a strategic air quality management system. This study critically assessed the air pollution of Delhi for 2016–18 to found out the role of air pollutants in respiratory mor...

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Autores principales: Dutta, Abhishek, Jinsart, Wanida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488831/
https://www.ncbi.nlm.nih.gov/pubmed/36126064
http://dx.doi.org/10.1371/journal.pone.0274444
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author Dutta, Abhishek
Jinsart, Wanida
author_facet Dutta, Abhishek
Jinsart, Wanida
author_sort Dutta, Abhishek
collection PubMed
description The policymakers need research studies indicating the role of different pollutants with morbidity for polluted cities to install a strategic air quality management system. This study critically assessed the air pollution of Delhi for 2016–18 to found out the role of air pollutants in respiratory morbidity under the ICD-10, J00-J99. The critical assessment of Delhi air pollution was done using various approaches. The mean PM(2.5) and PM(10) concentrations during the measurement period exceeded both national and international standards by a wide margin. Time series charts indicated the interdependence of PM(2.5) and PM(10) and connection with hospital visits due to respiratory diseases. Violin plots showed that daily respiratory disease hospital visits increased during the winter and autumn seasons. The winter season was the worst from the city’s air pollution point of view, as revealed by frequency analyses. The single and multi-pollutant GAM models indicated that short-term exposure to PM(10) and SO(2) led to increased hospital visits due to respiratory diseases. Per 10 units increase in concentrations of PM(10) brought the highest increase in hospital visits of 0.21% (RR: 1.00, 95% CI: 1.001, 1.002) at lag0-6 days. This study found the robust effect of SO(2) persisted in Delhi from lag0 to lag4 days and lag01 to lag06 days for single and cumulative lag day effects, respectively. While every 10 μg m(-3) increase of SO(2) concentrations on the same day (lag0) led to 32.59% (RR: 1.33, 95% CI: 1.09, 1.61) rise of hospital visits, the cumulative concentration of lag0-1 led to 37.21% (RR: 1.37, 95% CI:1.11, 1.70) rise in hospital visits which further increased to even 83.33% (RR: 1.83, 95% CI:1.35, 2.49) rise at a lag0-6 cumulative concentration in Delhi. The role of SO(2) in inducing respiratory diseases is worrying as India is now the largest anthropogenic SO(2) emitter in the world.
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spelling pubmed-94888312022-09-21 Air pollution in Delhi, India: It’s status and association with respiratory diseases Dutta, Abhishek Jinsart, Wanida PLoS One Research Article The policymakers need research studies indicating the role of different pollutants with morbidity for polluted cities to install a strategic air quality management system. This study critically assessed the air pollution of Delhi for 2016–18 to found out the role of air pollutants in respiratory morbidity under the ICD-10, J00-J99. The critical assessment of Delhi air pollution was done using various approaches. The mean PM(2.5) and PM(10) concentrations during the measurement period exceeded both national and international standards by a wide margin. Time series charts indicated the interdependence of PM(2.5) and PM(10) and connection with hospital visits due to respiratory diseases. Violin plots showed that daily respiratory disease hospital visits increased during the winter and autumn seasons. The winter season was the worst from the city’s air pollution point of view, as revealed by frequency analyses. The single and multi-pollutant GAM models indicated that short-term exposure to PM(10) and SO(2) led to increased hospital visits due to respiratory diseases. Per 10 units increase in concentrations of PM(10) brought the highest increase in hospital visits of 0.21% (RR: 1.00, 95% CI: 1.001, 1.002) at lag0-6 days. This study found the robust effect of SO(2) persisted in Delhi from lag0 to lag4 days and lag01 to lag06 days for single and cumulative lag day effects, respectively. While every 10 μg m(-3) increase of SO(2) concentrations on the same day (lag0) led to 32.59% (RR: 1.33, 95% CI: 1.09, 1.61) rise of hospital visits, the cumulative concentration of lag0-1 led to 37.21% (RR: 1.37, 95% CI:1.11, 1.70) rise in hospital visits which further increased to even 83.33% (RR: 1.83, 95% CI:1.35, 2.49) rise at a lag0-6 cumulative concentration in Delhi. The role of SO(2) in inducing respiratory diseases is worrying as India is now the largest anthropogenic SO(2) emitter in the world. Public Library of Science 2022-09-20 /pmc/articles/PMC9488831/ /pubmed/36126064 http://dx.doi.org/10.1371/journal.pone.0274444 Text en © 2022 Dutta, Jinsart https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dutta, Abhishek
Jinsart, Wanida
Air pollution in Delhi, India: It’s status and association with respiratory diseases
title Air pollution in Delhi, India: It’s status and association with respiratory diseases
title_full Air pollution in Delhi, India: It’s status and association with respiratory diseases
title_fullStr Air pollution in Delhi, India: It’s status and association with respiratory diseases
title_full_unstemmed Air pollution in Delhi, India: It’s status and association with respiratory diseases
title_short Air pollution in Delhi, India: It’s status and association with respiratory diseases
title_sort air pollution in delhi, india: it’s status and association with respiratory diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488831/
https://www.ncbi.nlm.nih.gov/pubmed/36126064
http://dx.doi.org/10.1371/journal.pone.0274444
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