中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction

文献类型:期刊论文

作者Duan, Wei2; Wang, Xiao1; Guo, Gang2; Wang, Fei-Yue1
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2024-02-01
卷号11期号:1页码:340-351
关键词Epidemics Social networking (online) Modeling Mathematical models Behavioral sciences Statistics Sociology Agent-based simulation complex networks epidemic models public health emergency management
ISSN号2329-924X
DOI10.1109/TCSS.2022.3214108
通讯作者Duan, Wei(duanwei@nudt.edu.cn)
英文摘要Human travel and social contacts are deemed as the key force in driving the transmission of infectious diseases. Consequently, epidemic models should represent individuals' spatiotemporal contacts in detail to investigate the complex process of epidemic diffusion. Mathematical epidemic models usually assume a homogeneous human population and describe unstructured contacts. Most network-based epidemic models do not synthetically consider the temporal and spatial features of human structured contact behaviors. We here combined a social network with a bipartite network to build a multilayer agent network to model heterogeneous individuals' temporal and spatial structured contacts. We used the largest collective outbreak of H1N1 influenza at a Chinese university in 2009 as a case study. Experimental results indicate that our models can reproduce individuals' daily travel and social contact patterns, as well as the H1N1 influenza outbreak. We found that only quarantining dormitories to stop interbuilding transmission could not achieve a great effect in mitigating epidemic outbreaks at a university. The prohibition of students' visiting across dormitory rooms was indispensable to prevent intrabuilding transmission of infectious diseases. Furthermore, it would be better to quarantine admitted case patients' close contacts to control potentially latent individuals.
WOS关键词NETWORKS ; SPREAD ; PERCOLATION ; MULTISCALE ; OUTBREAKS ; MOBILITY
资助项目National Natural Science Foundation of China
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001174294800015
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/56930]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Duan, Wei
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab ofManagement & Control Complex Syst, Beijing 100190, Peoples R China
2.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
推荐引用方式
GB/T 7714
Duan, Wei,Wang, Xiao,Guo, Gang,et al. Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024,11(1):340-351.
APA Duan, Wei,Wang, Xiao,Guo, Gang,&Wang, Fei-Yue.(2024).Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,11(1),340-351.
MLA Duan, Wei,et al."Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 11.1(2024):340-351.

入库方式: OAI收割

来源:自动化研究所

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