Simulation Research on the Spread of Urban Public Health Emergencies Based on Agent
Establishing a computer simulation model for urban public health emergencies can help to reveal their transmission mechanisms,quickly and economically grasp the laws and search for prevention and control strategies.Aiming at the problem of previous models focusing on static parameter analysis,a SEIRD model based on Agent that can achieve dynamic interaction is proposed,and simulation experiments are conducted using NetLogo.The simulation results show that factors such as crowd movement,hospital treatment,and distribution of infectious sources that can reflect the interaction between individuals or between individuals and the environment will have a significant impact on the spread of public health emergencies.The model can provide a scientific analysis method for simulating the randomness,interactivity,and dynamics of public health emergencies.Based on simulation experiment analysis,community and organization control,traffic management,and expanding the medical treatment can improve the timeliness and effectiveness of prevention and control.
Agentpublic health emergenciesspreadsimulationSEIRD
NETL
NSTL
万方数据
