中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Using a Bayesian belief network model for early warning of death and severe risk of HFMD in Hunan province, China

文献类型:期刊论文

作者Liao, Yilan2,3; Xu, Bing1,2,4; Liu, Xiaochi2,5; Wang, Jinfeng2,3; Hu, Shixiong6; Huang, Wei6; Luo, Kaiwei6; Gao, Lidong6
刊名STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
出版日期2018-06-01
卷号32期号:6页码:1531-1544
关键词Hand, foot, and mouth disease Early warning Spatiotemporal abnormal aggregation Moving percentile method Bayesian belief network
ISSN号1436-3240
DOI10.1007/s00477-018-1547-8
通讯作者Liao, Yilan(liaoyl@lreis.ac.cn) ; Gao, Lidong(810173358@qq.com)
英文摘要Hand, foot, and mouth disease (HFMD) is a global infectious disease resulting in millions of cases and even hundreds of deaths. Although a newly developed formalin-inactivated EV71 (FI-EV71) vaccine is effective against EV71, which is a major pathogen for HFMD, no vaccine against HFMD itself has yet been developed. Therefore, establishing a sensitive and accurate early warning system for HFMD is important. The early warning model for HFMD in the China Infectious Disease Automated-alert and Response System combines control chart and spatial statistics models to detect spatiotemporal abnormal aggregations of morbidity. However, that type of early warning for HFMD just involves retrospective analysis. In this study, we apply a Bayesian belief network (BBN) to estimate the increased risk of death and severe HFMD in the next month based on pathogen detection and environmental factors. Hunan province, one of the regions with the highest prevalence of HFMD in China, was selected as the study area. The results showed that compared with the traditional early warning model for HFMD, the proposed method can achieve a very high performance evaluation (the average AUC tests were more than 0.92). The model is also simple and easy to operate. Once the structure of the BBN is established, the increased risk of death and severe HFMD in the next month can be estimated based on any one node in the BBN.
WOS关键词MOUTH-DISEASE ; FOOT ; HAND ; SURVEILLANCE ; OUTBREAK ; SYSTEM
资助项目National Natural Science Foundation of China[41471377] ; National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41421001] ; Featured Institute Construction Services Program of the Institute of Geographic Sciences and Natural Resources Research, CAS[TSYJS03] ; Project Coupling big data and sampling for spatial mapping - LREIS[088RA200YA] ; Scientific research project - Chinese Preventive Medicine Association[20101801]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
语种英语
WOS记录号WOS:000432784400005
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Featured Institute Construction Services Program of the Institute of Geographic Sciences and Natural Resources Research, CAS ; Project Coupling big data and sampling for spatial mapping - LREIS ; Scientific research project - Chinese Preventive Medicine Association
源URL[http://ir.igsnrr.ac.cn/handle/311030/54778]  
专题中国科学院地理科学与资源研究所
通讯作者Liao, Yilan; Gao, Lidong
作者单位1.Sinodanish 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, Sinodanish Coll, Beijing 100190, Peoples R China
5.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
6.Hunan Prov Ctr Dis Control & Prevent, Changsha 410005, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Liao, Yilan,Xu, Bing,Liu, Xiaochi,et al. Using a Bayesian belief network model for early warning of death and severe risk of HFMD in Hunan province, China[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2018,32(6):1531-1544.
APA Liao, Yilan.,Xu, Bing.,Liu, Xiaochi.,Wang, Jinfeng.,Hu, Shixiong.,...&Gao, Lidong.(2018).Using a Bayesian belief network model for early warning of death and severe risk of HFMD in Hunan province, China.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,32(6),1531-1544.
MLA Liao, Yilan,et al."Using a Bayesian belief network model for early warning of death and severe risk of HFMD in Hunan province, China".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 32.6(2018):1531-1544.

入库方式: OAI收割

来源:地理科学与资源研究所

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