COVID-19 Vaccine Data Analysis and Prediction Using Machine Learning a Perspective in Bangladesh

Abstract

Coronavirus disease (COVID-19), a highly infectious and transmitted disease that was first discovered in Wuhan city in China in December 2019. Every person in the world is suffering from the coronavirus, directly or indirectly. Someone is confronted directly, when the virus attacks them and some are indirectly affected because of the closure of their businesses, work, and everyday work. Today, the global economy is also slowing down day in and day out. Prediction that is based on machine learning (ML) is regarded as a crucial method for enhancing planned decision-making. Prediction, prioritizing, and decision-making leverage modern ML models. After forecasting, several ML algorithms are employed to enhance decision-making at various levels. Predicting the geographic distribution of the active virus at the moment of vaccination is one of the key requirements for fair vaccine distribution. This study focuses on the potential prediction of the COVID-19 vaccine's efficacy, which has been described as a light in the otherwise dark. People have a variety of issues, including doubts regarding the COVID-19 vaccine's effectiveness. Based on these ideas, the COVID-19 vaccine would either have side effects that would worsen the patient's current health or reduce their likelihood of getting the condition following injection. People have openly voiced their concerns about vaccination in this regard. Some insignificant and ferocious deaths has also occurred by inquiring different types of vaccine and their doses. This article details Bangladeshi people's readiness to pay as well as their intention to obtain a COVID-19 vaccination with proper data analysis and visualization. The current study verified the safety of the licensed COVID-19 vaccines and showed that vaccinations increase people's sense of security. The majority of the bad reactions following vaccination are mild to moderate, which are indications that the body's immune system is developing defenses. Based on the input data, ML may also be used to predict the degree of side effects; anticipated severe situations may call for additional medical care or possibly hospitalization. So prevention of covid19 is a mandatory now to create a better healthy world and safe environment to all of the people.