Analysis and impact of climatic conditions on COVID-19 using machine learning

ABSTRACT

Coronavirus is a pandemic nowadays around the globe. This epidemic started from China and spread to the other countries of the world rapidly. The effect of this deadly disease is causing a huge number of deaths per day around the globe. Initially, it started spreading in the countries where the temperature is relatively low like Europe and North America. India also started witnessing cases in the month of February, which is by and large not that hot a month in the country. This created a belief in India that when the summers are set in the country, the virus would not have any or very little effect, but gradually this belief faded away and the coronavirus surrounded India and affected the regions which are comparatively hotter than other areas. In this paper, we have taken this temperature effect as one criterion for coronavirus and shown the relationship between coronavirus and temperature. Our result of r2 (r-squared), which is a measure of independence, has a value of +0.75 indicating that the factor of temperature has no significance in the rise in the number of Covid cases in India. © 2022 Scrivener Publishing LLC.