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题名: Insights into the transmission of respiratory infectious diseases through empirical human contact networks
作者: Huang, CL ;  Liu, XW ;  Sun, SW ;  Li, SC ;  Deng, MH ;  He, GX ;  Zhang, HC ;  Wang, C ;  Zhou, Y ;  Zhao, YL ;  Bu, DB
刊名: SCIENTIFIC REPORTS
出版日期: 2016
卷号: 6, 页码:31484
学科分类: Science & Technology - Other Topics
DOI: http://dx.doi.org/10.1038/srep31484
通讯作者: Bu, DB (reprint author), Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China. ;  Bu, DB (reprint author), Chinese Acad Sci, State Key Lab Theoret Phys, Beijing, Peoples R China.
文章类型: Article
英文摘要: In this study, we present representative human contact networks among Chinese college students. Unlike schools in the US, human contacts within Chinese colleges are extremely clustered, partly due to the highly organized lifestyle of Chinese college students. Simulations of influenza spreading across real contact networks are in good accordance with real influenza records; however, epidemic simulations across idealized scale-free or small-world networks show considerable overestimation of disease prevalence, thus challenging the widely-applied idealized human contact models in epidemiology. Furthermore, the special contact pattern within Chinese colleges results in disease spreading patterns distinct from those of the US schools. Remarkably, class cancelation, though simple, shows a mitigating power equal to quarantine/vaccination applied on similar to 25% of college students, which quantitatively explains its success in Chinese colleges during the SARS period. Our findings greatly facilitate reliable prediction of epidemic prevalence, and thus should help establishing effective strategies for respiratory infectious diseases control.
类目[WOS]: Multidisciplinary Sciences
关键词[WOS]: MODEL ;  WORLD
收录类别: SCI
项目资助者: National Basic Research Program of China (973 Program) [2012CB316502] ;  National Natural Science Foundation of China [31270834, 61272318, 11175224, 11121403, 31171262, 31428012, 31471246] ;  Open Project Program of State Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China [Y4KF171CJ1] ;  GRF [CityU.11203115] ;  National Key Basic Research Project of China [2015CB910303, 2016YFA0502303, 2014CB744403] ;  National Scientific Key Program [2014ZX10003002]
语种: 英语
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/21559
Appears in Collections:理论物理所2016年知识产出_期刊论文

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Recommended Citation:
Huang, CL,Liu, XW,Sun, SW,et al. Insights into the transmission of respiratory infectious diseases through empirical human contact networks[J]. SCIENTIFIC REPORTS,2016,6:31484.
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