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

Authors

haibin Li, 1. Engineering Training Center of Inner Mongolia University of Technology, Hohhot 010051, China; ;

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.

Recommended Citation

Li, haibin (2020) "Modeling and Simulation on Dynamics of Epidemic Disease Based on Social Division of Labor," Journal of System Simulation: Vol. 32: Iss. 5, Article 1.
DOI: 10.16182/j.issn1004731x.joss.20-0128
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/1

First Page

745

Revised Date

2020-04-30

DOI Link

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

Last Page

758

CLC

TP391.9

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.20-0128