Modeling and Simulation on Dynamics of Epidemic Disease Based on Social Division of Labor

doi:10.16182/j.issn1004731x.joss.20-0128

Abstract

Abstract: Prediction is an essential part of the epidemic prevention and control system, and it is of great significance to accurately establish a dynamic model of epidemiological evolution. The existing epidemiological modeling methods rarely consider the social division of labor of different groups. The entire group is divided into three subgroups, the ordinary residents, the social service personnel, and the front-line medical workers. Based on the heterogeneous uniform mixing theory, the subgroup adjacency matrix is used to represent the contact relationship between individuals, and a time-lapse dynamic model of epidemic spread and evolution is established. The simulation results show that this method is in line with the actual situation and can provide an effective method to the modeling and simulation of the epidemiological dynamics. The method carries out the dynamic modeling and simulation analysis of the epidemic situation in Wuhan.

Key words: epidemic disease, modeling, social division of labor, adjacency matrix, COVID-19(Corona Virus Disease-2019)

CLC Number:

TP391.9

Li haibin. Modeling and Simulation on Dynamics of Epidemic Disease Based on Social Division of Labor[J]. Journal of System Simulation, 2020, 32(5): 745-758.

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