Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014
文献类型：期刊论文
| 作者 | Ren, Hongyan3; Zheng, Lan3,4; Li, Qiaoxuan1,3; Yuan, Wu5; Lu, Liang2 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 14期号:12页码:13 |
| 关键词 | dengue fever spatial variations Guangzhou and Foshan socioeconomic factors geographically weighted regression |
| ISSN号 | 1660-4601 |
| DOI | 10.3390/ijerph14121518 |
| 通讯作者 | Ren, Hongyan(renhy@igsnrr.ac.cn) ; Lu, Liang(luliang@icdc.cn) |
| 英文摘要 | Dengue fever (DF) is a common and rapidly spreading vector-borne viral disease in tropical and subtropical regions. In recent years, this imported disease has posed an increasing threat to public health in China, especially in many southern cities. Although the severity of DF outbreaks in these cities is generally associated with known risk factors at various administrative levels, spatial heterogeneities of these associations remain little understood on a finer scale. In this study, the neighboring Guangzhou and Foshan (GF) cities were considered as a joint area for characterizing the spatial variations in the 2014 DF epidemic at various grid levels from 1 x 1 km(2) to 6 x 6 km(2). On an appropriate scale, geographically weighted regression (GWR) models were employed to interpret the influences of socioeconomic and environmental factors on this epidemic across the GF area. DF transmissions in Guangzhou and Foshan cities presented synchronous temporal changes and spatial expansions during the main epidemic months. Across the GF area, this epidemic was obviously spatially featured at various grid levels, especially on the 2 x 2 km(2) scale. Its spatial variations were relatively sufficiently explained by population size, road density, and economic status integrated in the GWR model with the lowest Akaike Information Criterion (AICc = 5227.97) and highest adjusted R square (0.732) values. These results indicated that these three socioeconomic factors acted as geographical determinants of spatial variability of the 2014 DF epidemic across the joint GF area, although some other potential factors should be added to improve the explaining the spatial variations in the central zones. This work improves our understanding of the effects of socioeconomic conditions on the spatial variations in this epidemic and helps local hygienic authorities to make targeted joint interventions for preventing and controlling this epidemic across the GF area. |
| WOS关键词 | AEDES-AEGYPTI ; MAINLAND CHINA ; SURVEILLANCE ; TRANSMISSION ; DISPERSAL ; DISEASE ; SYSTEMS ; TRENDS ; CANCER |
| 资助项目 | National Key Research and Development Program of China[2016YFC1201305] ; National Natural Science Foundation of China[41571158] ; Innovation Project of LREIS[O8R8B6A0YA] ; 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:000423699400081 |
| 出版者 | MDPI AG |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Innovation Project of LREIS ; National Program on Major Scientific Research Project - MOST of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56918]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Hongyan; Lu, Liang |
| 作者单位 | 1.Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Fujian, Peoples R China 2.Chinese Ctr Dis Control & Prevent, Nat Inst Communicable Dis Control & Prevent, Dept Vector Biol & Control, Beijing 102206, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China 5.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ren, Hongyan,Zheng, Lan,Li, Qiaoxuan,et al. Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2017,14(12):13. |
| APA | Ren, Hongyan,Zheng, Lan,Li, Qiaoxuan,Yuan, Wu,&Lu, Liang.(2017).Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,14(12),13. |
| MLA | Ren, Hongyan,et al."Exploring Determinants of Spatial Variations in the Dengue Fever Epidemic Using Geographically Weighted Regression Model: A Case Study in the Joint Guangzhou-Foshan Area, China, 2014".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 14.12(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。