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Prediction of COVID-19 Cases from the Nexus of Air Quality and Meteorological Phenomena: Bangladesh Perspective.

作者信息

Ahmed Mim Mashrur, Hoque Md Emdadul, Rahman Shahanaj, Roy Proshanta Kumar, Alam Firoz, Rahman Muhammad Mustafizur, Rahman Md Mostafizur, Hopke Philip K

机构信息

Department of Mechanical Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.

Department of Environment, Ministry of Environment, Forests and Climate Change, Dhaka, Bangladesh.

出版信息

Earth Syst Environ. 2022;6(1):307-325. doi: 10.1007/s41748-021-00278-7. Epub 2021 Nov 28.


DOI:10.1007/s41748-021-00278-7
PMID:34870076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8627582/
Abstract

An integrated approach was used to estimate the number of COVID-19 patients related to air quality and meteorological phenomena. Additionally, the air quality during pre-lockdown, lockdown, and post-lockdown stages of the COVID-19 pandemic was assessed to determine the effect of the infection containment measures taken in Bangladesh during the pandemic. The air quality was assessed based on measurements of nitrogen dioxide (NO), sulfur dioxide (SO), ozone (O), carbon monoxide (CO), black carbon, particulate matter (PM and PM), and aerosol optical depth. Time-averaged maps of these parameters have been generated from NASA's (National Aeronautics and Space Administration) website. Values of these parameters have also been collected from a continuous air monitoring station (CAMS) located in Bangladesh's north-western city Rajshahi. The comparison shows that lockdown during the pandemic has brought significant improvements in air quality. However, the improvement was not sustained, since rapid increases in the air pollutant concentrations were observed in the post-lockdown period. Furthermore, Pearson correlation coefficients between each air quality variable and the daily new COVID-19 case rates were calculated. Different meteorological variables during the same time periods were determined to observe the variation in Rajshahi city. Relationships of these variables with the case rates were also established. Additionally, statistical analyses of the obtained data have been conducted for the measured variables using the Kruskal-Wallis test to assess the differences in the observed data among the pre-lockdown, lockdown, and post-lockdown periods. Dunn's "Q" test was employed to test if the variables showed significance statistical difference during the Kruskal-Wallis test for pairwise comparisons. From the study, it has been observed that both meteorological variables and air quality parameters have significant relationship with daily new COVID-19 case rates. Both positive and negative associations of these parameters with the COVID-19 case rates have been observed. Very high air pollution has been observed in the post-lockdown period. Thus, it is recommended that appropriate authorities undertake corrective measures to protect the environment in cities with large populations. This study provides guidance for decision makers and health officials for future research and potentially reducing the spread of COVID-19.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/7a6d4efbb384/41748_2021_278_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/420a04a349e4/41748_2021_278_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/f9272165dc3c/41748_2021_278_Fig2a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/fffb19d337f5/41748_2021_278_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/4e7db610ecfa/41748_2021_278_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/0a57228bc302/41748_2021_278_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/7a6d4efbb384/41748_2021_278_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/420a04a349e4/41748_2021_278_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/f9272165dc3c/41748_2021_278_Fig2a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/fffb19d337f5/41748_2021_278_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/4e7db610ecfa/41748_2021_278_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/0a57228bc302/41748_2021_278_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b644/8627582/7a6d4efbb384/41748_2021_278_Fig6_HTML.jpg

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引用本文的文献

[1]
Analyzing the spatio-temporal directions of air pollutants for the initial wave of Covid-19 epidemic over Bangladesh: Application of satellite imageries and Google Earth Engine.

Remote Sens Appl. 2022-11

本文引用的文献

[1]
Respiratory Emergency Department Visit Associations with Exposures to Fine Particulate Matter Mass, Constituents, and Sources in Dhaka, Bangladesh Air Pollution.

Ann Am Thorac Soc. 2022-1

[2]
Cardiovascular morbidity and mortality associations with biomass- and fossil-fuel-combustion fine-particulate-matter exposures in Dhaka, Bangladesh.

Int J Epidemiol. 2021-8-30

[3]
Impact of meteorological parameters on COVID-19 transmission in Bangladesh: a spatiotemporal approach.

Theor Appl Climatol. 2021

[4]
COVID-19: Environment concern and impact of Indian medicinal system.

J Environ Chem Eng. 2020-10

[5]
How successful Bangladesh is in controlling the coronavirus pandemic?

Bull Natl Res Cent. 2020

[6]
Are meteorological factors enhancing COVID-19 transmission in Bangladesh? Novel findings from a compound Poisson generalized linear modeling approach.

Environ Sci Pollut Res Int. 2021-3

[7]
The impact of COVID 19 on air pollution levels and other environmental indicators - A case study of Egypt.

J Environ Manage. 2020-10-10

[8]
Impacts of nationwide lockdown due to COVID-19 outbreak on air quality in Bangladesh: a spatiotemporal analysis.

Air Qual Atmos Health. 2021

[9]
COVID-19: air pollution remains low as people stay at home.

Air Qual Atmos Health. 2020

[10]
Strategic assessment of COVID-19 pandemic in Bangladesh: comparative lockdown scenario analysis, public perception, and management for sustainability.

Environ Dev Sustain. 2021

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