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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1111-1117

Research on simulation model of infectious disease transmission based on interpersonal relationship

Zhang Yanan1a
Long Hua1a,1b
Shao Yubin1a,1b
Du Qingzhi1a,1b
Chen Tengfei1a
Song Xiaoxiao2
1. a. Faculty of Information Engineering & Automation, b. Key Laboratory of Computer Technology Application of Yunnan Province, Kunming University of Science & Technology, Kunming 650500, China
2. School of Public Health, Kunming Medical University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0408

Abstract

By establishing a simulation model of infectious disease transmission based on interpersonal relationship, this paper studied the process of infectious disease transmission and the trend of epidemic development under relevant prevention and control measures. Described the contact and interaction between individuals based on the interpersonal relationship, this paper established an agent-based simulation model. It adjusted the model parameters based on the initial data collected by the Wuhan COVID-19 epidemic platform of the Chinese Health Commission, estimated the basic reproduction number(R0), and simulated the scenarios of different epidemic prevention and control methods, explored the trend of epidemic spread under different intervention measures. The established model for the spread of infectious diseases based on interpersonal relationships first simulated the spreading process of the Wuhan epidemic in the early stage, and estimated the COVID-19 R0 before Wuhan was closed to the public. Subsequently, the model preliminarily predicted the development trend of the epidemic in Yangzhou and found that the epidemic had entered a controllable stage. By discussing the impact of different intervention measures on the development of the epidemic in densely populated places(in the case of schools), this paper put forward relevant prevention and control opinions for the current students starting in the fall. Finally, it discussed the effect of the social movement distance of individuals in social contact networks on the epidemics transmission, and it was found that an increase in the social movement distance of individuals increased the risk of transmission of infectious diseases.

Foundation Support

地区自然科学基金资助项目(81860318,2018FE001(-183))

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0408
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Algorithm Research & Explore
Pages: 1111-1117
Serial Number: 1001-3695(2022)04-026-1111-07

Publish History

[2021-12-07] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

张亚楠, 龙华, 邵玉斌, 等. 基于人际关系的传染病传播仿真模型研究 [J]. 计算机应用研究, 2022, 39 (4): 1111-1117. (Zhang Yanan, Long Hua, Shao Yubin, et al. Research on simulation model of infectious disease transmission based on interpersonal relationship [J]. Application Research of Computers, 2022, 39 (4): 1111-1117. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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