Prediction on COVID-19 via Logit Model for the Five Worst-Affected Countries in Global

The SARS-CoV-2 virus has spread to more than 200 countries and regions around the world In order to study the spread of the new coronavirus epidemic better, this article selects the cumulative confirmed case data in the United States, India, Brazil, Russia, and Colombia from January 28, 2020 to September 23, 2020 Based on the Logistic growth model, short-term forecasts of the epidemics in five countries were made, and the Bootstrap method was used to repeatedly sample to obtain the confidence intervals of the predicted values of the five countries in the next ten days The results of the study show that 95% confidence interval which predicts 10-day cumulative confirmed cases in India is [592 2488,618 0458] The population growth rate is 0 04, and the maximum environment capacity reaches 8 65 million Compared with the other four countries, the Indian epidemic is relatively serious and needs to strengthen control © 2021 ACM