Environmental risk factor assessment for major respiratory disorders in metropolitan cities of India using VIIRS Suomi Aerosol data and Google Trends
Abstract This study has investigated the association between the amount of atmospheric aerosols and the occurrences of Asthma, Chronic Obstructive Pulmonary Disease (COPD) and Lung Cancer in Delhi, Mumbai, Chennai, Kolkata and Bengaluru. Aerosol Optical Thickness (AOT) data of Visible Infrared Imaging Radiometer Suite (VIIRS) and Google Trends (GT) have been used to acquire information regarding the abundance of atmospheric aerosols and the occurrences of the respiratory diseases respectively. The result of Granger causality test between AOT and GT has shown that Delhi, Mumbai and Chennai were quite vulnerable to the three respiratory diseases whereas Bengaluru did not display so much vulnerability to these ailments. Kolkata was not so much vulnerable to Asthma but did exhibit susceptibility to the other two diseases. GT is validated by correlating with Annual Morbidity data of Delhi. The result of Granger causality test between Particulate Matter (diameter ≤ 10 μm) ($ PM_{10} $) data and GT validates the result of Granger causality between AOT and GT, and shows the trustworthiness of GT and AOT. Thus, this study also proves the usefulness of VIIRS AOT and GT as dependable sources of information on atmospheric aerosols and prevalence of the respiratory diseases respectively, and the effectiveness of Granger causality test as a tool of analysis in health and geographic information systems (GIS)..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:4 |
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| Enthalten in: |
Environmental sustainability - 4(2021), 4 vom: 13. Nov., Seite 851-860 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Mitra, Diptarshi [VerfasserIn] |
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| Links: |
Volltext [lizenzpflichtig] |
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| Themen: |
Aerosol optical thickness |
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| Anmerkungen: |
© Society for Environmental Sustainability 2021 |
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| doi: |
10.1007/s42398-021-00210-9 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
SPR045805636 |
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| 245 | 1 | 0 | |a Environmental risk factor assessment for major respiratory disorders in metropolitan cities of India using VIIRS Suomi Aerosol data and Google Trends |
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| 520 | |a Abstract This study has investigated the association between the amount of atmospheric aerosols and the occurrences of Asthma, Chronic Obstructive Pulmonary Disease (COPD) and Lung Cancer in Delhi, Mumbai, Chennai, Kolkata and Bengaluru. Aerosol Optical Thickness (AOT) data of Visible Infrared Imaging Radiometer Suite (VIIRS) and Google Trends (GT) have been used to acquire information regarding the abundance of atmospheric aerosols and the occurrences of the respiratory diseases respectively. The result of Granger causality test between AOT and GT has shown that Delhi, Mumbai and Chennai were quite vulnerable to the three respiratory diseases whereas Bengaluru did not display so much vulnerability to these ailments. Kolkata was not so much vulnerable to Asthma but did exhibit susceptibility to the other two diseases. GT is validated by correlating with Annual Morbidity data of Delhi. The result of Granger causality test between Particulate Matter (diameter ≤ 10 μm) ($ PM_{10} $) data and GT validates the result of Granger causality between AOT and GT, and shows the trustworthiness of GT and AOT. Thus, this study also proves the usefulness of VIIRS AOT and GT as dependable sources of information on atmospheric aerosols and prevalence of the respiratory diseases respectively, and the effectiveness of Granger causality test as a tool of analysis in health and geographic information systems (GIS). | ||
| 650 | 4 | |a Aerosol optical thickness |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Google trends |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Granger causality test |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pearson’s correlation coefficient |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a VIIRS |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Annual morbidity |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a PM |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Koti, Shiva Reddy |4 aut | |
| 700 | 1 | |a Verma, Prabhakar Alok |4 aut | |
| 700 | 1 | |a Saran, Sameer |4 aut | |
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