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A Study of COVID-19 Impact on Environmental Health of Three Major Countries
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022 ; : 469-477, 2022.
Article in English | Scopus | ID: covidwho-2029193
ABSTRACT
The COVID-19 epidemic has put the majority of the world under lockdown, and one unintended effect of this response has been an improvement in global air quality. The objective of this research is to examine the correlations between pollution levels in air (carbon monoxide, ozone, nitrogen dioxide, particulate matter etc.) and their impact during COVID-19. Our findings state that air pollution can be considered as a major factor in the spread of COVID-19 pandemic. It has an effect on chronic diseases including cardiovascular disease and diabetes, air pollution can also be associated with the increase in COVID-19 severity and lethality. This study shows that air pollution exposure reduces immunological responses, allowing viruses to penetrate and replicate more easily. Various contaminants affected the quality of air as their effects were evaluated during COVID-19 lockdown imposed by the government with the help of different response dataset trackers. ernment response tracker dataset including daily air pollution data and weather data from several cities in the United States, India, and Switzerland. We have used data from (CAAQMS) Continuous Ambient Air Quality Monitoring Stations, to conduct a detailed examination of the COVID-19's effect on the quality of air and reported changes in Air Quality Index (AQI). The observation indicates certain contaminants NO2, PM2.5 other factors, too, have a considerable influence in COVID-19 infection. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies Language: English Journal: 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022 Year: 2022 Document Type: Article