高阶网络上传染病传播动力学

靳祯; 苟巍; 张菊平

doi:10.12405/j.issn.2097-1486.2022.01.008

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高阶网络上传染病传播动力学

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- 高阶网络上传染病传播动力学
- The infectious disease transmission dynamics on higher-order networks
- 新兴科学和技术趋势 2022年1卷第1期页码：80-87
- 作者机构：
  
  山西大学　复杂系统研究所，山西　太原　030006
- 作者简介：
  
  [ "靳祯，男，山西大学二级教授，博导；现任山西省复杂系统创新团队带头人，山西省数学会理事长，中国数学学会理事，山西省“疾病防控的数学技术与大数据分析”重点实验室主任；Frontiers of Physics，Journal of Biological System s等5个期刊编委；获教育部新世纪优秀人才，全国优秀教师，享受国务院政府特殊津贴；主要从事生物动力系统、复杂网络系统、健康大数据分析研究，发表SCI论文300余篇，被引近1万次，连续入选爱思唯尔高被引学者，出版专著7部；主持国家级项目10项，其中国家基金重点项目2项，国家重点研发计划子项目1项；曾获山西省科学技术奖（自然科学类）一等奖2项，二等奖1项，教育部高等学校优秀成果二等（自然科学类）奖1项。E-mail：jinzhen@sxu.edu.cn" ]
  [ "张菊平，女，教授；博士，加拿大York University博士后，博士生导师；“三晋英才”青年优秀人才；目前主要从事生物数学及复杂网络上的传播动力学研究工作；主持完成国家和省部级项目7项，包括国家基金面上项目等；在JMB，BMB，JTB等期刊发表论文40余篇，参编出版专著1部；获山西省科学技术奖（自然科学类）一等奖2项，山西省高等学校优秀成果（自然科学类）二等奖1项。" ]
- 基金信息：
  
  国家自然科学基金面上项目(61873154)
- DOI：10.12405/j.issn.2097-1486.2022.01.008
  中图分类号： O157
- 纸质出版日期：2022-09，
  
  收稿日期：2022-05-20，
  
  修回日期：2022-08-24，
- 稿件说明：
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靳祯,苟巍,张菊平.高阶网络上传染病传播动力学[J].新兴科学和技术趋势,2022,1(1):80-87.

JIN Zhen, GOU Wei, ZHANG Juping. The infectious disease transmission dynamics on higher-order networks. [J]. Emerging Science and Technology, 2022,1(1):80-87.
靳祯,苟巍,张菊平.高阶网络上传染病传播动力学[J].新兴科学和技术趋势,2022,1(1):80-87. DOI： 10.12405/j.issn.2097-1486.2022.01.008.

JIN Zhen, GOU Wei, ZHANG Juping. The infectious disease transmission dynamics on higher-order networks. [J]. Emerging Science and Technology, 2022,1(1):80-87. DOI： 10.12405/j.issn.2097-1486.2022.01.008.

摘要

不同规模的聚集会加强传染病的传播，刻画与分析其传播效应是传染病传播动力学研究面临的理论难题和应用瓶颈问题。近年来，随着单纯复形和超网络研究的发展，从高阶网络传播动力学角度去解决这类问题成为可能。高阶网络上的传染病传播动力学研究，主要是从高阶网络的不同结构、拓扑和几何特征出发，对静态、时变和空间等不同类型高阶网络上的各种传染病传播进行动力学建模和性态分析，开展高阶网络上现实传染病的定性与定量情景式研究，将为传染病传播动力学研究注入新的活力。

Abstract

The crowd gathering strengthens the spread of infectious diseases.Depicting and analyzing its transmission effect is the difficult theoretical problems and bottlenecks of infectious disease transmission dynamics.In recent years

with the development of research for simplical complexes and hypernetworks

it becomes possible to solve such problems from the perspective of transmission dynamics on higher-order networks.The study of infectious disease transmission dynamics on higher-order networks

which mainly starts from the distinct structure

topology and geometrical characteristics of higher-order networks

carries out dynamical modeling and behavior analysis of different types of infectious disease on various kinds of higher-networks

including the static

time-varying or spatial ones

and conducts qualitative and quantitative research in specific context of real infectious diseases on higher-order networks.The study will inject vitality into the infectious disease transmission dynamics.

关键词

高阶网络传染病动力学模型单纯复形超网络

Keywords

higher-order networksinfectious diseasesdynamics modelssimplicial complexeshypernet-works

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