Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China
文献类型：期刊论文
| 作者 | Zheng, Lan1,2,3,4,5; Ren, Hong-Yan2 ; Shi, Run-He1,3,4,5; Lu, Liang6
|
| 刊名 | INFECTIOUS DISEASES OF POVERTY
 |
| 出版日期 | 2019-03-28 |
| 卷号 | 8页码:12 |
| 关键词 | Spatiotemporal pattern China Dengue fever Generalized additive model Socioeconomic factor Environmental factor |
| ISSN号 | 2095-5162 |
| DOI | 10.1186/s40249-019-0533-9 |
| 通讯作者 | Ren, Hong-Yan(renhy@lreis.ac.cn) ; Shi, Run-He(rhshi@geo.ecnu.edu.cn) |
| 英文摘要 | BackgroundDengue fever (DF) is a common mosquito-borne viral infectious disease in the world, and increasingly severe DF epidemics in China have seriously affected people's health in recent years. Thus, investigating spatiotemporal patterns and potential influencing factors of DF epidemics in typical regions is critical to consolidate effective prevention and control measures for these regional epidemics.MethodsA generalized additive model (GAM) was used to identify potential contributing factors that influence spatiotemporal epidemic patterns in typical DF epidemic regions of China (e.g., the Pearl River Delta [PRD] and the Border of Yunnan and Myanmar [BYM]). In terms of influencing factors, environmental factors including the normalized difference vegetation index (NDVI), temperature, precipitation, and humidity, in conjunction with socioeconomic factors, such as population density (Pop), road density, land-use, and gross domestic product, were employed.ResultsDF epidemics in the PRD and BYM exhibit prominent spatial variations at 4km and 3km grid scales, characterized by significant spatial clustering over the Guangzhou-Foshan, Dehong, and Xishuangbanna areas. The GAM that integrated the Pop-urban land ratio (ULR)-NDVI-humidity-temperature factors for the PRD and the ULR-Road density-NDVI-temperature-water land ratio-precipitation factors for the BYM performed well in terms of overall accuracy, with Akaike Information Criterion values of 61859.89 and 826.65, explaining a total variance of 83.4 and 97.3%, respectively. As indicated, socioeconomic factors have a stronger influence on DF epidemics than environmental factors in the study area. Among these factors, Pop (PRD) and ULR (BYM) were the socioeconomic factors explaining the largest variance in regional epidemics, whereas NDVI was the environmental factor explaining the largest variance in both regions. In addition, the common factors (ULR, NDVI, and temperature) in these two regions exhibited different effects on regional epidemics.ConclusionsThe spatiotemporal patterns of DF in the PRD and BYM are influenced by environmental and socioeconomic factors, the socioeconomic factors may play a significant role in DF epidemics in cases where environmental factors are suitable and differ only slightly throughout an area. Thus, prevention and control resources should be fully allocated by referring to the spatial patterns of primary influencing factors to better consolidate the prevention and control measures for DF epidemics. |
| WOS关键词 | GUANGDONG PROVINCE ; METEOROLOGICAL FACTORS ; GLOBAL DISTRIBUTION ; OUTBREAK ; YUNNAN ; AREAS ; RISK ; TRANSMISSION ; GUANGZHOU ; ABUNDANCE |
| 资助项目 | National Natural Science Foundation of China[41571158] ; National Key Research and Development Program of China[2016YFC1201305] ; National Key Research and Development Program of China[2016YFC1302602] ; Shanghai Municipal Commission of Health and Family Planning[15GWZK0201] ; Innovation Project of LREIS[O8R8B6A0YA] ; Fundamental Research Funds for the Central Universities in China (East China Normal University) |
| WOS研究方向 | Infectious Diseases |
| 语种 | 英语 |
| WOS记录号 | WOS:000463756400001 |
| 出版者 | BMC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Shanghai Municipal Commission of Health and Family Planning ; Innovation Project of LREIS ; Fundamental Research Funds for the Central Universities in China (East China Normal University) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48270]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ren, Hong-Yan; Shi, Run-He |
| 作者单位 | 1.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China 4.East China Normal Univ, Joint Lab Environm Remote Sensing & Data Assimila, Shanghai, Peoples R China 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Shanghai, Peoples R China 6.Chinese Ctr Dis Control & Prevent, Nat Inst Communicable Dis Control & Prevent, Dept Vector Biol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Lan,Ren, Hong-Yan,Shi, Run-He,et al. Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China[J]. INFECTIOUS DISEASES OF POVERTY,2019,8:12. |
| APA | Zheng, Lan,Ren, Hong-Yan,Shi, Run-He,&Lu, Liang.(2019).Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China.INFECTIOUS DISEASES OF POVERTY,8,12. |
| MLA | Zheng, Lan,et al."Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China".INFECTIOUS DISEASES OF POVERTY 8(2019):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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