Download This PaperA Survey Analysis of COVID-19 Pandemic Using Machine Learning
4 Pages Posted: 9 Aug 2022
Date Written: July 14, 2022
Abstract
is triggered by severe acute respiratory syndrome (SARS-CoV-2). The first confirmed case of COVID 19 was discovered in Wuhan, China, in December of this year. Since then, the disease has spread throughout the world, resulting in a pandemic that is still ongoing. COVID-19 is a medium-sized virus that consists of a single structured RNA strand. It is transmitted through the air. It shows the various trends and projected growth of this global pandemic, as well as its historical and contemporary context. This paper proves the efficiency of Naive Bayes algorithm in predicting the future trends of the pandemic. This paper lays the groundwork for demonstrating and showcasing the potential of machine learning in the field of pandemic prediction in the future. In this paper, we have examined and compared a variety of algorithms, models, and methods for predicting COVID-19 using Machine Learning techniques.
Note:
Funding Information: None.
Conflict of Interests: None.
Keywords: Artificial Intelligence, COVID 19, Fbprophet model, Linear and Logistic Regression, Machine Learning, SVM
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