Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter
Modeling and Evaluating the Impact of Social Restrictions on the Spread of COVID-19 Using Machine Learning
COVID-19 has influenced different aspects of human life, such as working and socializing, over the past year. Authorities in different countries have imposed various levels and forms of social restrictions to ...
-
Chapter
Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models
This paper analyzes single and two-wave COVID-19 outbreaks using two novel hybrid models, which combine machine learning and statistical methods with Richards growth models, to simulate and forecast the spread...