Author(s)

Xiangcheng Li ¹, Zhiwei Zhou ¹, Jiajia Shi ¹

Affiliation(s)

¹ Dalian Jiaotong University, Dalian, Liaoning, 116028, China

Corresponding Author

ABSTRACT

For the existence of a closed system in a public place, the transmission of infectious diseases changes under different initial conditions. When the initial susceptible person is a staff member, the change in the number of sick people over 100 days is simulated using a cellular automata model. The transformation of the number of susceptible, sick, and recovered persons was simulated. When the initial incubators were other persons, a differential equation was developed using the model to study the change in the number of affected persons. Finally, compare the two conditions and analyze the process of growth and decrease.

KEYWORDS

CITE THIS PAPER

Xiangcheng Li, Zhiwei Zhou, Jiajia Shi, Predicting the Spread of Infectious Diseases in a Closed System Based on Cellular Automata and SIRS Model. MEDS Public Health and Preventive Medicine (2021) 1: 86-89. DOI: http://dx.doi.org/10.23977/phpm.2021.010115.

REFERENCES

[1] LI Xuan, TONG Bai-li, WU Xiao-bing. Simulation Model of Infectious Disease Transmission and Control Based on Cellular Automata [J]. Journal of Liaoning University of Technology (Natural Science Edition), 2020, 40(05): 290-295.
[2] Wen-Tao WU, Da-Ning LI, Li LI, Ao-Zi FENG, An-Ding XU, Jun LYU. Analysis of the role of different intensity prevention and control measures in the current epidemic of novel coronavirus (2019-nCoV) infected pneumonia in Wuhan based on SIR model [J]. New Medicine, 2020, 30(01): 78-82.

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