2019-NCOV Propagation Model Based on Cellular Automate and SEIR Model

Inhalt:
With the rapid spread of the new coronaviruses worldwide, it has caused large-scale outbreaks and global public health problems. This paper uses the discrete characteristics of cellular automata in time, space and state, based on local conversion rules, and considers the population classification of SEIR model, taking the infectious ability of the infectious individuals to the susceptible, whether to intervene in the virus transmission and the intensity of the intervention and other factors as the model parameters of the cellular automaton, Constructed a new coronavirus pneumonia propagation model based on cellular automata and SEIR model. Experimental results show that the proposed propagation model has a good simulation effect on the epidemic situation, which proves the effectiveness of the method and provides a theoretical basis for the prevention and control of new coronavirus pneumonia.