Special Issue on COVID-19 Aerosol Drivers, Impacts and Mitigation (XIV)

Md Sariful Islam This email address is being protected from spambots. You need JavaScript enabled to view it.1, Mizanur Rahman2, Tanmoy Roy Tusher3,5, Shimul Roy4,5, Mohammad Arfar Razi6

1 Department of Geography, Virginia Polytechnic Institute and State University, Blacksburg, USA
2 Department of Geosciences, Florida Atlantic University, Boca Raton, FL, USA
3 Graduate School of Environmental Studies, Tohoku University, Sendai, Japan
4 School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong, China
5 Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh
6 Bengal Institute for Architecture, Landscapes and Settlements, Dhaka, Bangladesh

Received: October 27, 2020
Revised: December 28, 2020
Accepted: January 15, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.4209/aaqr.200609  

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Cite this article:

Islam, M.S., Rahman, M., Tusher, T.R., Roy, S., Razi, M.A. (2021). Assessing the Relationship between COVID-19, Air Quality, and Meteorological Variables: A Case Study of Dhaka City in Bangladesh. Aerosol Air Qual. Res. 21, 200609. https://doi.org/10.4209/aaqr.200609


  • Effects of air pollutants and meteorology on daily COVID19 cases were investigated.
  • Significant reduction in air pollutants were observed due to lockdown measures.
  • Air pollutants and meteorology were significantly correlated with COVID-19 cases.


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.

Keywords: COVID-19, Air quality, Correlation, Meteorology, Dhaka

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