Using Analytics to Measure the Impact of Pollution Parameters in Major Cities of India

Manohar Kapse (), N. Elangovan (), Abhishek Kumar and Joseph Durai Selvam ()
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Manohar Kapse: Symbiosis International (Deemed University)
N. Elangovan: CHRIST (Deemed to Be University)
Abhishek Kumar: Tata Consultancy Services
Joseph Durai Selvam: CHRIST (Deemed to Be University)

A chapter in Analytics Enabled Decision Making, 2023, pp 265-280 from Springer

Abstract: Abstract Coronavirus is airborne and can spread easily. Air pollution may have an impact on breathing and also keep the virus airborne. The levels of air pollution were impacted by the lockdown measures, restricting the vehicular and industrial pollutants. Therefore, there is a need to understand the relation between air pollution levels and the Coronavirus infection rate. The study aims to find the effect of various pollutants across major cities of India on the R-value. The pollution data was collected from the Government’s official portal. The major pollutants on which the data was collected are “PM2.5, PM10, NO, NO2, NOx, SO2, CO, and Ozone”. The data on air pollution levels were also collected for the selected cities from April 2020 to April 2021. The spread is measured as the reproduction number at time ‘t’ (Rt), which is an estimate of infectious disease transmissibility throughout an outbreak, or it is the rating of Coronavirus or any disease’s ability to spread. The data is analysed using MS Excel and R Programming. Descriptive statistics and regularisation are performed on the data. The study results reveal that some pollutants positively and negatively affect the infection rate. However, the effect is very low, and it concluded that the pollution might not directly affect infection rates.

Keywords: Air pollution; COVID-19; Economic activity; Population density; Infection rate; PM2.5; PM10; NO2; NOx; SO2; CO; NO; Ozone (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-19-9658-0_12

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