COVID-19 outbreak analysis and predictions for future cases

The Coronavirus pandemic (COVID-19) is an infectious disease which has its origin from Wuhan, China in December 2019 and is now considered as a threat for people in this world , and due to this The Centre for Disease Control and Prevention in China has issued an notification on epidemic and assessment of risk on COVID-19 in January[1]. According to studies it is believed that disease was first spread through bats to humans leading to severe respiratory problems [2][3]. As of 22, April, COVID-19 has affected over 2.5 million people, causing about 170,000 deaths. Many studies suggest that the main reason for wide spread of this virus is due to air or water droplets being exposed from an already infected person. At current, there is no vaccine or treatment available for this disease, however continuous medical researches and clinical experiments have been conducted to find out the cure. This paper is an attempt to study and analyze how this virus is being spread across the globe with short span of time. This paper suggests the determine the patterns and trends using deep learning