Data Science Approach for Rapid COVID-19 Case Rate Study of Important Climatic Regions in Correlation with Temperature and Humidity Variations of INDIA

Maharishi Kalla , Dikshant Bhati, Aman Arora

The early pandemic wave came after the imposition of Lockdown by Indian Government. Although it wasn’t clear if factors like temperature and humidity have any correlation with the increase of cases in the Locked regions of the state, as studies were on going in virology and biotechnological field for that matter. We took public health vision for the study, by considering five important climatic regions of the nation with different temperature and humidity in a scientific attempt to provide correlation between these factors and rising COVID 19 case counts in India.  Crowd source data was used for the analysis in this study. Initial database of confirmed case counts of COVID 19, humidity, maximum and minimum temperature of five important climatic regions was created. The data collected was removed of redundancies and mean average figures were calculated, to perform correlation analysis on the database using SPYDER (The Scientific Python Development Interface).  Statistical approaches such as Pearson correlation coefficient and linear regression curve graphical representation was used for the analysis. The analysis significantly presented positive correlation between confirm case count increase and climatic factors (humidity and temperature) in five different climatic regions of India for the period of four lockdowns. The analysis proved the region with greater humidity was suffering on a great frequency with respect to less humid region. Average temperature was nearly equal for every climatic region, nevertheless the analysis presented with figures signifying nearly nil or low positive correlation between confirmed case count ratio and climatic regions with high or low mean average temperature. It was evident that climatic factors had an impact on the transmission and sustaining capability of COVID 19. The analysis of different climatic regions that also during the period of Lockdown is essential to health care sector, government and policy makers while making new policy decisions and taking new measures for prevention of spread of COVID 19 pandemic and any future pandemic scenarios of the level.