Date of Award

5-4-2022

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics and Statistics

First Advisor

Yi Jiang

Second Advisor

Gengsheng Qin

Third Advisor

Jun Kong

Abstract

COVID-19 infects the respiratory tract leading to lung damage. Air pollutants such as PM 2.5 is one of the main causes and aggravating factors of many respiratory diseases. A known COVID-19 and air pollution “hotspot” is India. India reported a devastating number of COVID-19 cases in early 2020. As the country went into lockdown, the air quality improved significantly, providing a rare opportunity to study correlation between COVID-19 cases and air quality. The spatial autocorrelation analysis between the regions for air quality and COVID-19 cases revealed no significant clustering within the regions. Cross-correlation in time series and regression analysis established a positive correlation between PM2.5 emissions and COVID-19 deaths with a time lag of 20-60 days. Spatiotemporal correlation reveals that there is a positive correlation of PM 2.5 and COVID-19 deaths with time lag of 30-50 days and 300 kilometers.

DOI

https://doi.org/10.57709/28908329

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