COVID-19 Pandemic Prediction and Forecasting Using Machine Learning Classifiers

• DOI: 10.32604/iasc.2022.021507
• Publication Date: 2021-11-17T01:41:53Z
• Authors: Jabeen Sultana; Anjani Kumar Singha; Shams Tabrez Sidd...; Guthikonda Nagalaxmi; Anil Kumar Sriram; Nitish Pathak
• Keywords: Pandemic; Predictive modelling

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