IGSNRR OpenIR
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
Ren, Hongyan1; Zheng, Lan1,2; Li, Qiaoxuan1,3; Yuan, Wu4; Lu, Liang5
2017-12-01
Source PublicationINTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
ISSN1660-4601
Volume14Issue:12Pages:13
Corresponding AuthorRen, Hongyan(renhy@igsnrr.ac.cn) ; Lu, Liang(luliang@icdc.cn)
AbstractDengue 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.
Keyworddengue fever spatial variations Guangzhou and Foshan socioeconomic factors geographically weighted regression
DOI10.3390/ijerph14121518
WOS KeywordAEDES-AEGYPTI ; MAINLAND CHINA ; SURVEILLANCE ; TRANSMISSION ; DISPERSAL ; DISEASE ; SYSTEMS ; TRENDS ; CANCER
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaEnvironmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS SubjectEnvironmental Sciences ; Public, Environmental & Occupational Health
WOS IDWOS:000423699400081
PublisherMDPI AG
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/56919
Collection中国科学院地理科学与资源研究所
Corresponding AuthorRen, Hongyan; Lu, Liang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China
3.Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Fujian, Peoples R China
4.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
5.Chinese Ctr Dis Control & Prevent, Nat Inst Communicable Dis Control & Prevent, Dept Vector Biol & Control, Beijing 102206, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ren, Hongyan]'s Articles
[Zheng, Lan]'s Articles
[Li, Qiaoxuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ren, Hongyan]'s Articles
[Zheng, Lan]'s Articles
[Li, Qiaoxuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ren, Hongyan]'s Articles
[Zheng, Lan]'s Articles
[Li, Qiaoxuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.