An Approach for Corona Spreads Forecast and Herd Immunity Prediction with the Help of Machine Learning

Abstract

Corona-virus is the disease caused by the current Covid-19 that emerged in December 2019 in China. A coronavirus is a common virus that causes your nose, sinuses, or upper throat to get infected. Most coronaviruses are not harmful, SARS-CoV-2 disease that causes what physicians term a respiratory tract infection. Using Herd Immunity, we can slow the spread of this (COVID-19) disease Herd immunity occurs when a large part of a population (the herd) becomes immune to this disease, which makes it unlikely that the infection will spread from person to person. As a result, the whole population is not only covered by those who are immune. We can check a person has herd immunity or not to see the spread of this disease with the aid of predictive models. The goal of predictive modeling is to create a way for individuals to be efficient, accurate, and profitable.