Coronavirus Infection Probability in India

Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: Brijesh P. Singh⁎ The Series of SARS dieses generated the COVID-19 it was first identified in Wuhan, China in December 2019 and is spreading all over the 190 countries in over all the world. The ongoing outbreak presents in the world a challenge for data scientists to model COVID-19, when the epidemiological and sanitation characteristics of the COVID-19 are yet to be fully explained. There is no vaccine , medicine are available for this virus it spread very westly over the world its high time for all doctors and scientists to country this virus as possible as fast . till today additional pressure on the Doctors and policy makers. In such a tough situation, it is very important to predict infected cases to support prevention of the disease and aid in the preparation of healthcare service. Nation is fighting efficiently against COVID-19 and facing greater challenges because of its large population and high population density. Though the government of India is taking all necessary actions to prevent its spread, it is not enough to control and stop spread of the disease so far, perhaps due to the uncooperative nature of people living in India. Effective measures to control this disease, medical professionals need to know the estimated size of this pandemic and pace. In this survey , an attempt has been made to understand the spreading capability of COVID-19 in India through some simple models has to be design . Findings the suggestions that the lockdown strategies has to be implemented in India are not successfully reducing the pace of the pandemic significantly after the first lockdown. so the data scientists has develop a prediction for which check the infection or spreading the disease possibility in machine learning and using support vector machine algorithm and clustering technique it help to control the infection rate