Date of Publication :5th August 2020

Abstract: In a short span, coronavirus has spread to more than 170 countries across the globe. Most of the hospitals and medical supporting equipment get overwhelmed due tothe rapid increase in the number of coronavirus patients. In this work, we analyze the recovery rate of coronavirus patients using machine-learning techniques based on COVID-19 data. An exploratory data analysis of the increase in the number of recovery cases in the different geographical region across the globe is conducted. We observe the effect of initial lockdown across the globe in slowing down the spread of coronavirus. However, later there is a sudden spread of coronavirus in all countries, leading to an increased load on medical staff and lack of adequate medical supporting equipment in the absence of any antiviral or vaccine of coronavirus till date. We notice that there is a decrease in the recovery rate of coronavirus patients to 2% (approximately) after a widespread of the virus in June 2020. However, in July 2020, there is a hike in recovery rate of coronavirus patients, about 30% - 40% in comparison to the infected cases. The key findings of this study can help in understanding the trend in coronavirus spread across the globe and its recovery rate. It can help by providing a piece of valuable information to healthcare authorities and workers to design appropriate strategies for reducing the death toll and understanding the recovery rate in different regions of the world.

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