Researchers are using various modeling approaches to forecast the development of the COVID-19 pandemic, with some studies focusing on spatiotemporal dynamics and others exploring applications of machine learning and multi-agent systems. These methods are also being applied to other fields, such as traffic flow prediction and optimization. The use of these techniques in different contexts suggests a broader interest in developing tools for complex systems analysis and prediction.