ABSTRACT
The rate of spread and effects of the novel COVID-19 coronavirus on the human body in different parts of the world is highly variable in nature. In this paper, we have carried out a case study on the current COVID situation across the globe and implemented three machine learning models: Polynomial Regression, Holt's Linear Model, and Facebook Prophet to predict future cases. We have discussed the accuracy of each model in forecasting the future trends of the virus. We have visualized the effect of the pandemic across countries and calculated the rate of growth of the infection, as well as the mortality rates. It is found out that the number of confirmed, deceased and recovered cases all are increasing exponentially until now. However, on a positive note, the recovery rate of the virus across the world is almost 7 times more than the mortality rate. This early prediction can help doctors, hospitals, and govt. to be prepared with emergency services for confirmed cases to avoid mortality rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Climate change is the outstanding survival and ethical issue of our time, and requires urgent action if our descendants are to inherit a livable world.1 Substantial opportunities exist in the transition to a renewable economy provided through climate action. Reliable, relevant, and accessible information is key. © 2021 by World Scientific Publishing Co. Pte. Ltd.