Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction
文献类型:期刊论文
作者 | Duan, Wei2; Wang, Xiao1![]() ![]() |
刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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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 |
DOI | 10.1109/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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