Forecast of COVID-19 Vaccinations in the US, India, and South Africa

The sudden appearance and rapid spread of Covid-19 has a potentially catastrophic impact on furniture in many developed and developing countries. Therefore, in response to this situation, the future vaccine demand from the perspective of analytical models was predictableized to help more visualize the number of vaccines, new deaths, and each country. Then select different epidemic countries, India, South Africa, and Americaslyze their data using three models (random forests, linear regression, and port machines future. In this study, the vaccination characteristics, daily cases, and the first few weeks helped to predict vaccination demand. People found that if the epidemic was severe, the number of cases and deaths per day increased, the demand for vaccines would increase in most countries. At the same time, the need for vaccination also depends on the needs of the previous weeks. In view of the epidemic prediction and vaccination situation, this paper uses machine learning method to analyze the data of COVID-19 and the vaccination progress in detail, and further predicts the number of future vaccines through machine learning. The aim is to enable governments to prevent the virus more effectively.