Prediction and Analysis of COVID-19’s Prevention and Control Based on AnyLogic in the Background of Big Data

ABSTRACT

Based on the surging situation of COVID-19 and its rapid propagation speed and wide range, schools as a crowded place are prone to outbreak of large areas. Therefore, in order to ensure the normal progress of campus teaching order, campus should be the focus of epidemic prevention and control. By using AnyLogic simulation software, using system dynamics model and combined with the actual data operation of College D Teaching Building, this paper simulates the D Teaching Building, and intuitively shows the simulation and control effect through the Time Plot. The simulation results show that the school can reduce the number of infected people by taking effective measures to control the contact rate of students and vaccinating them in time;Finally, effective treatment can greatly increase the rehabilitation rate of infected people and reduce the number of deaths. This method has certain guiding significance in today’s severe epidemic prevention and control. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.