Ecological Niche Modeling Identifies Fine-Scale Areas at High Risk of Dengue Fever in the Pearl River Delta, China
文献类型：期刊论文
| 作者 | Li, Qiaoxuan1,2; Ren, Hongyan2 ; Zheng, Lan2,3; Cao, Wei2; Zhang, An2; Zhuang, Dafang2; Lu, Liang4; Jiang, Huixian1
|
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2017-06-01 |
| 卷号 | 14期号:6页码:13 |
| 关键词 | dengue fever Maxent socioeconomic factors environmental conditions Guangzhou Foshan |
| ISSN号 | 1660-4601 |
| DOI | 10.3390/ijerph14060619 |
| 通讯作者 | Ren, Hongyan(renhy@igsnrr.ac.cn) ; Jiang, Huixian(jhx155@163.com) |
| 英文摘要 | Dengue fever (DF) is one of the most common and rapidly spreading mosquito-borne viral diseases in tropical and subtropical regions. In recent years, this imported disease has posed a serious threat to public health in China, especially in the Pearl River Delta (PRD). Although the severity of DF outbreaks in the PRD is generally associated with known risk factors, fine scale assessments of areas at high risk for DF outbreaks are limited. We built five ecological niche models to identify such areas including a variety of climatic, environmental, and socioeconomic variables, as well as, in some models, extracted principal components. All the models we tested accurately identified the risk of DF, the area under the receiver operating characteristic curve (AUC) were greater than 0.8, but the model using all original variables was the most accurate (AUC = 0.906). Socioeconomic variables had a greater impact on this model (total contribution 55.27%) than climatic and environmental variables (total contribution 44.93%). We found the highest risk of DF outbreaks on the border of Guangzhou and Foshan (in the central PRD), and in northern Zhongshan (in the southern PRD). Our fine-scale results may help health agencies to focus epidemic monitoring tightly on the areas at highest risk of DF outbreaks. |
| WOS关键词 | GUANGDONG PROVINCE ; MAINLAND CHINA ; TRANSMISSION ; GUANGZHOU ; DISTRIBUTIONS ; URBANIZATION ; SUITABILITY ; DISEASE |
| 资助项目 | National Natural Science Foundation of China[41571158] ; LREIS[O8R8B6A0YA] ; National Key Research and Development Program of China[2016YFC1201305] ; National Program on Major Scientific Research Project - MOST of China[2012CB955504] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000404107600067 |
| 出版者 | MDPI AG |
| 资助机构 | National Natural Science Foundation of China ; LREIS ; National Key Research and Development Program of China ; National Program on Major Scientific Research Project - MOST of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63112]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Hongyan; Jiang, Huixian |
| 作者单位 | 1.Fujian Normal Univ, Coll Geog Sci, 8 Shangsan Rd, Fuzhou 350007, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 3.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, 500 Dongchuan Rd, Shanghai 200241, Peoples R China 4.China CDC, Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, 5 Changbai Rd, Beijing 102206, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Qiaoxuan,Ren, Hongyan,Zheng, Lan,et al. Ecological Niche Modeling Identifies Fine-Scale Areas at High Risk of Dengue Fever in the Pearl River Delta, China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2017,14(6):13. |
| APA | Li, Qiaoxuan.,Ren, Hongyan.,Zheng, Lan.,Cao, Wei.,Zhang, An.,...&Jiang, Huixian.(2017).Ecological Niche Modeling Identifies Fine-Scale Areas at High Risk of Dengue Fever in the Pearl River Delta, China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,14(6),13. |
| MLA | Li, Qiaoxuan,et al."Ecological Niche Modeling Identifies Fine-Scale Areas at High Risk of Dengue Fever in the Pearl River Delta, China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 14.6(2017):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。