Open Access

ARTICLE

COVID-19 Pandemic Prediction and Forecasting Using Machine Learning Classifiers

Jabeen Sultana^1,*, Anjani Kumar Singha², Shams Tabrez Siddiqui³, Guthikonda Nagalaxmi⁴, Anil Kumar Sriram⁵, Nitish Pathak⁶

1 Department of Computer Science, College of Computer and Information Sciences, Majmaah University, Al Majmaah, 11952, Kingdom of Saudi Arabia
2 Department of Computer Science, Aligarh Muslim University, Aligarh, 202002, India
3 Department of Computer Science, Jazan University, Jazan, 45142, Kingdom of Saudi Arabia
4 Rajiv Gandhi University of Knowledge Technologies, Hyderabad, 504107, India
5 University of Duisburg-Essen, Duisburg, 45141, Germany
6 Bhagwan Parshuram Institute of Technology (BPIT), Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, 110089, India

* Corresponding Author: Jabeen Sultana. Email:

Intelligent Automation & Soft Computing 2022, 32(2), 1007-1024. https://doi.org/10.32604/iasc.2022.021507

Received 05 July 2021; Accepted 17 August 2021; Issue published 17 November 2021

Abstract

COVID-19 is a novel virus that spreads in multiple chains from one person to the next. When a person is infected with this virus, they experience respiratory problems as well as rise in body temperature. Heavy breathlessness is the most severe sign of this COVID-19, which can lead to serious illness in some people. However, not everyone who has been infected with this virus will experience the same symptoms. Some people develop cold and cough, while others suffer from severe headaches and fatigue. This virus freezes the entire world as each country is fighting against COVID-19 and endures vaccination doses. Worldwide epidemic has been caused by this unusual virus. Several researchers use a variety of statistical methodologies to create models that examine the present stage of the pandemic and the losses incurred, as well as considered other factors that vary by location. The obtained statistical models depend on diverse aspects, and the studies are purely based on possible preferences, the pattern in which the virus spreads and infects people. Machine Learning classifiers such as Linear regression, Multi-Layer Perception and Vector Auto Regression are applied in this study to predict the various COVID-19 blowouts. The data comes from the COVID-19 data repository at Johns Hopkins University, and it focuses on the dissemination of different effect patterns of Covid-19 cases throughout Asian countries.

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Keywords

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