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.
Highlights
The COVID-19 outbreak has been confirmed among 140 million people worldwide, with a mortality rate of 3.05%
In the case of a common attempt to tackle the spread of this epidemic, each nation implemented various methodologies ranging from staying at home, wearing masks, limiting movement, avoiding social events, constantly washing hands, and sanitizing the environment
Depending on the day, the probability of getting sick is very high, as the correlation value is E+0.949, in Eqs. (4)–(6) are the associated between Pearson and the Spearman mechanism shown in Fig. 4 [32,33]
Summary
The COVID-19 outbreak has been confirmed among 140 million people worldwide, with a mortality rate of 3.05%. Artificial intelligence (AI) will help us deal with the issues posed by the COVID-19 pandemic [5,6]. Every new data about our current situation is crucial for human managers and artificial intelligence framework conditions to provide information for our future decision-making. Artificial intelligence (AI) will help us deal with the issues that the COVID-19 pandemic has brought up. Simulated intelligence systems must gain without any planning if the context or task shifts even slightly Along these lines, The COVID-19 emergency will include something that has always been associated with AI: it is a device. Every new piece of data about our current situation is crucial for clarifying our future decisions about human bosses and artificial intelligence structures. The more convincing we exchange details, the sooner our situation is no longer fresh, and humankind finds a way forward
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