A new method for assessing the risk of infectious disease outbreak
文献类型:期刊论文
作者 | Liao, Yilan2,3; Xu, Bing1,2,4; Wang, Jinfeng2,3; Liu, Xiaochi2,5 |
刊名 | SCIENTIFIC REPORTS
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出版日期 | 2017-01-09 |
卷号 | 7页码:12 |
ISSN号 | 2045-2322 |
DOI | 10.1038/srep40084 |
通讯作者 | Liao, Yilan(liaoyl@lreis.ac.cn) |
英文摘要 | Over the past few years, emergent threats posed by infectious diseases and bioterrorism have become public health concerns that have increased the need for prompt disease outbreak warnings. In most of the existing disease surveillance systems, disease outbreak risk is assessed by the detection of disease outbreaks. However, this is a retrospective approach that impacts the timeliness of the warning. Some disease surveillance systems can predict the probabilities of infectious disease outbreaks in advance by determining the relationship between a disease outbreak and the risk factors. However, this process depends on the availability of risk factor data. In this article, we propose a Bayesian belief network (BBN) method to assess disease outbreak risks at different spatial scales based on cases or virus detection rates. Our experimental results show that this method is more accurate than traditional methods and can make uncertainty estimates, even when some data are unavailable. |
WOS关键词 | CHINA ; SURVEILLANCE ; DEFECTS ; HESHUN ; SYSTEM |
资助项目 | National Natural Science Foundation of China[41101431] ; National Natural Science Foundation of China[41471377] ; Young Talent Fund of the Institute of Geographic Sciences and Natural Resources Research, CAS[2012RC201] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000391478800001 |
出版者 | NATURE PUBLISHING GROUP |
资助机构 | National Natural Science Foundation of China ; Young Talent Fund of the Institute of Geographic Sciences and Natural Resources Research, CAS |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/65172] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liao, Yilan |
作者单位 | 1.Sino Danish Ctr Educ & Res, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Chinese Ctr Dis Control & Prevent, Key Lab Surveillance & Early Warning Infect Dis, Beijing 102206, Peoples R China 4.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100190, Peoples R China 5.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China |
推荐引用方式 GB/T 7714 | Liao, Yilan,Xu, Bing,Wang, Jinfeng,et al. A new method for assessing the risk of infectious disease outbreak[J]. SCIENTIFIC REPORTS,2017,7:12. |
APA | Liao, Yilan,Xu, Bing,Wang, Jinfeng,&Liu, Xiaochi.(2017).A new method for assessing the risk of infectious disease outbreak.SCIENTIFIC REPORTS,7,12. |
MLA | Liao, Yilan,et al."A new method for assessing the risk of infectious disease outbreak".SCIENTIFIC REPORTS 7(2017):12. |
入库方式: OAI收割
来源:地理科学与资源研究所
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