Analysis and finding the correlation of air quality parameters on the spread and deceased case of COVID-19 patients in India

Recent covid-19 pandemic state across the globe has brought some issues to be considered obviously for better sustainability of human society and economy. In this article a comprehensive study based on the air quality parameters has been represented in view the recent covid-19 situation in India. India being the second largest populated country in the world and having a very high population density is a vital region for controlling and observing the spread and recovery of covid-19 patients. It has been observed that the spread as well as recovery rate in India is far better than many other countries in the world. A noteworthy observation has been extracted in this study from the correlation between three Covid-19 parameters (total confirmed, active and deceased cases) and air quality index comprising of six air quality parameters (PM 2.5, PM 10, NO 2 , SO 2 , CO, and Ozone) of 25 highly Covid-19 affected Indian cities. Spearman rank correlation and Kendall correlation tests were used to understand the correlation between the Covid-19 variables with air quality variables. Both the statistical correlation test revealed that particulate matters like PM 2.5, PM 10, and overall air quality have significantly strong correlation with the Covid-19 spread and death cases in 25 cities of India. However, the PM 2.5 is found to be the most significant air quality parameter for Covid-19 spread and death cases in India. It indicates that the western part of India contains more risk zones as compared to the north-eastern and eastern part of the country. The high natural vegetation, less industrial areas of the northeast India with better air quality finds higher recovery rate. Similarly the high natural vegetation of the Himalayan zones are also comparatively having better air quality and experiencing better control of covid-19 cases.