中国物理B ›› 2005, Vol. 14 ›› Issue (7): 1370-1377.doi: 10.1088/1009-1963/14/7/018
靳祯1, 刘权兴2
Liu Quan-Xing (刘权兴)a, Jin Zhen (靳祯)b
摘要: In this paper the SEIRS epidemic spread is analysed, and a two-dimensional probability cellular automata model for SEIRS is presented. Each cellular automation cell represents a part of the population that may be found in one of five states of individuals: susceptible, exposed (or latency), infected, immunized (or recovered) and death. Here studied are the effects of two cases on the epidemic spread. i.e. the effects of non-segregation and segregation on the latency and the infected of population. The conclusion is reached that the epidemic will persist in the case of non-segregation but it will decrease in the case of segregation. The proposed model can serve as a basis for the development of algorithms to simulate real epidemics based on real data. Last we find the density series of the exposed and the infected will fluctuate near a positive equilibrium point, when the constant for the immunized is less than its corresponding constant $\tau_{0}$. Our theoretical results are verified by numerical simulations.
中图分类号: (General theory and mathematical aspects)