Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh
Abstract The novel coronavirus disease 2019 (COVID-19) has become a serious health concern worldwide for almost a year. This study investigated the effects of selected air pollutants and meteorological variables on daily COVID-19 cases in Dhaka city, Bangladesh. Air pollutants and meteorological dat...
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| Format: | Article |
| Language: | English |
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Springer
2021-01-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.200609 |
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| author | Md Sariful Islam Mizanur Rahman Tanmoy Roy Tusher Shimul Roy Mohammad Arfar Razi |
| author_facet | Md Sariful Islam Mizanur Rahman Tanmoy Roy Tusher Shimul Roy Mohammad Arfar Razi |
| author_sort | Md Sariful Islam |
| collection | DOAJ |
| description | Abstract The novel coronavirus disease 2019 (COVID-19) has become a serious health concern worldwide for almost a year. This study investigated the effects of selected air pollutants and meteorological variables on daily COVID-19 cases in Dhaka city, Bangladesh. Air pollutants and meteorological data for Dhaka city were collected from 8 April to 16 June 2020 from multiple sources. This study implied spearman’s correlation to see the correlation between daily COVID-19 cases and different air pollutants and meteorological variables. Besides, multiple linear regression and the Generalized Additive Model (GAM) were used to investigate the association between COVID-19 cases and other variables used in this study. Due to lockdown measures, significant differences between PM2.5, SO2, NO2, CO, and O3 in 2019 and 2020 were observed in Dhaka city. We used lag-0, lag-7, lag-14, and lag-21 days on daily COVID-19 cases to look at the lag effect of different air pollutants and meteorology. The LRM results showed that the daily COVID-19 cases are significantly correlated with relative humidity (lag-0 days) and pressure (lag-14 days) (p < 0.05). Additionally, the GAM model results showed a significant nonlinear association among daily COVID-19 cases and meteorology and air quality variables on different lag days. Therefore, our results suggest that an effective public health intervention measures should be implemented to slowdown the spreading of COVID-19. |
| format | Article |
| id | doaj-art-e1521816a30e43639c747a7cc2300ac9 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-e1521816a30e43639c747a7cc2300ac92025-02-09T12:19:45ZengSpringerAerosol and Air Quality Research1680-85842071-14092021-01-0121611610.4209/aaqr.200609Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in BangladeshMd Sariful Islam0Mizanur Rahman1Tanmoy Roy Tusher2Shimul Roy3Mohammad Arfar Razi4Department of Geography, Virginia Polytechnic Institute and State UniversityDepartment of Geosciences, Florida Atlantic UniversityGraduate School of Environmental Studies, Tohoku UniversitySchool of Energy and Environment, City University of Hong KongBengal Institute for Architecture, Landscapes and SettlementsAbstract The novel coronavirus disease 2019 (COVID-19) has become a serious health concern worldwide for almost a year. This study investigated the effects of selected air pollutants and meteorological variables on daily COVID-19 cases in Dhaka city, Bangladesh. Air pollutants and meteorological data for Dhaka city were collected from 8 April to 16 June 2020 from multiple sources. This study implied spearman’s correlation to see the correlation between daily COVID-19 cases and different air pollutants and meteorological variables. Besides, multiple linear regression and the Generalized Additive Model (GAM) were used to investigate the association between COVID-19 cases and other variables used in this study. Due to lockdown measures, significant differences between PM2.5, SO2, NO2, CO, and O3 in 2019 and 2020 were observed in Dhaka city. We used lag-0, lag-7, lag-14, and lag-21 days on daily COVID-19 cases to look at the lag effect of different air pollutants and meteorology. The LRM results showed that the daily COVID-19 cases are significantly correlated with relative humidity (lag-0 days) and pressure (lag-14 days) (p < 0.05). Additionally, the GAM model results showed a significant nonlinear association among daily COVID-19 cases and meteorology and air quality variables on different lag days. Therefore, our results suggest that an effective public health intervention measures should be implemented to slowdown the spreading of COVID-19.https://doi.org/10.4209/aaqr.200609COVID-19Air qualityCorrelationMeteorologyDhaka |
| spellingShingle | Md Sariful Islam Mizanur Rahman Tanmoy Roy Tusher Shimul Roy Mohammad Arfar Razi Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh Aerosol and Air Quality Research COVID-19 Air quality Correlation Meteorology Dhaka |
| title | Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh |
| title_full | Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh |
| title_fullStr | Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh |
| title_full_unstemmed | Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh |
| title_short | Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh |
| title_sort | assessing the relationship between covid 19 air quality and meteorological variables a case study of dhaka city in bangladesh |
| topic | COVID-19 Air quality Correlation Meteorology Dhaka |
| url | https://doi.org/10.4209/aaqr.200609 |
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