epidemic disease modeling social division of labor adjacency matrix

• 1、College of Science,Inner Mongolia University of Technology

Abstract：The epidemic disease is harmful to human health and even brings disastrous consequences. How to deal with epidemic disease effectively is an unavoidable practical problem for the whole society. Epidemic 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 among groups. This article intends to divide the entire group into three subgroups, such as ordinary residents, social service personnel, and front-line medical workers. Based on the heterogeneous uniform mixing theory, the subgroup adjacency matrixAn approach for modeling dynamics of epidemic disease spread based on the social division of labor 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 when the system reaches a stable equilibrium, the traditional method has the highest morbidity and mortality rate of the subgroup of social service personnel, followed by the subgroup of front-line medical workers and the lowest subgroup of ordinary residents. Under the same parameters and initial conditions, the simulation results of the method in this paper show that the front-line medical workers subgroup has the highest morbidity and mortality, followed by the social service personnel subgroup, and the ordinary residents subgroup has the lowest. The practice has proved that under the same protective conditions, the front-line medical workers who frequently come into contact with patients with the disease have the highest degree of danger, which shows that the method in this paper is more in line with the actual situation and can provide an effective method for epidemiological dynamics modeling and simulation. Keywords:

Keywords： epidemic disease modeling social division of labor adjacency matrix