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基于社团结构的抑制校园新冠传播研究

  • 高天 ,
  • 许小可 ,
  • 高天 ,
  • 许小可
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  • 大连民族大学信息与通信工程学院,辽宁 大连 116600
高天(1999-),男,河南周口人,硕士研究生,主要研究方向为复杂网络上信息与疾病传播。

收稿日期: 2023-01-10

  修回日期: 2023-02-02

  网络出版日期: 2024-11-07

基金资助

国家自然科学基金(62173065)

Suppression of COVID-19 Campus Spreading Based on Community Structures

  • GAO Tian ,
  • XU Xiaoke ,
  • GAO Tian ,
  • XU Xiaoke
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  • College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China

Received date: 2023-01-10

  Revised date: 2023-02-02

  Online published: 2024-11-07

摘要

校园是一个特殊的人群密集场所,如果校园内出现新冠病例往往有大面积传染的风险,还可能成为家庭传播的重要来源。为此提出了基于班级减少接触策略,用于校园疫情防控,该策略可理解为依据班级结构对校园人群进行社团划分后,减少社团间或社团内的人际接触。研究结果表明,在减少同等接触人数或接触时长的前提下,基于社团结构的有差别减少接触策略可取得更好的疫情防控效果,使得校园人群的感染峰值和致病总人数进一步降低。

本文引用格式

高天 , 许小可 , 高天 , 许小可 . 基于社团结构的抑制校园新冠传播研究[J]. 复杂系统与复杂性科学, 2024 , 21(3) : 9 -16 . DOI: 10.13306/j.1672-3813.2024.03.002

Abstract

The campus is a special crowded place. If a patient with covid-19 appears on campus, there is often the risk of large-scale infection, and it may also become an important source of family transmission. This paper proposes a class-based contact reduction strategy for campus epidemic prevention and control. This strategy can be understood as reducing human contact between and within communities after the campus population is divided into groups according to the class structure. The research results show that, on the premise of reducing the same number of contacts or contact time, differential contact reduction strategies based on community structure can achieve better epidemic prevention and control effects, making the infection peak and the total number of disease-causing population fell further on campus.

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