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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2077-2080

Modeling and analysis of environment-aware COVID-19 transmission

Yang Weihong
Qin Yang
Wu Bingbing
School of Computer Science & Technology, Harbin Institute of Technology, Shenzhen Guangdong 518055, China
DOI: 10.19734/j.issn.1001-3695.2020.08.0220

Abstract

Since the existing epidemic models hadn't considered the influence of environment on the infection of virus, and the classic epidemic model can't well reflect the feature of each individual, this paper developed an environment-aware susceptible-infected-recovered(EA-SIR) model by introducing an individual contact matrix to describe contact between each indivi-dual. This model derived environment-aware infection rate, the basic reproduction number and its upper bound. The upper bound of EA-SIR's basic reproduction number wasn't greater than the classic SIR indicating that virus was difficult to spread in EA-SIR. People's sense of self-protection helped block the spread of virus, therefore, EA-SIR was suitable for describing the virus spread theoretically. This paper conducted experiments using COVID-19 data of Diamond Princess and four cities in China to evaluate the performance of EA-SIR, and used mean absolute error as evaluation standard. The simulation results show that EA-SIR can better describe the spread of COVID-19.

Foundation Support

深圳市知识创新计划基础研究资助项目(JCYJ20170307151807788)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.08.0220
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Algorithm Research & Explore
Pages: 2077-2080
Serial Number: 1001-3695(2021)07-029-2077-04

Publish History

[2021-07-05] Printed Article

Cite This Article

杨伟宏, 秦阳, 吴兵兵. 环境感知的新冠肺炎传播态势的建模与分析 [J]. 计算机应用研究, 2021, 38 (7): 2077-2080. (Yang Weihong, Qin Yang, Wu Bingbing. Modeling and analysis of environment-aware COVID-19 transmission [J]. Application Research of Computers, 2021, 38 (7): 2077-2080. )

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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