Risk factors spatial-temporal detection for dengue fever in Guangzhou
文献类型：期刊论文
| 作者 | Kong, Lingcai1,2; Xu, Chengdong2; Mu, Pengfei3; Li, Jialiang3; Qiu, Senyue3; Wu, Haixia4 |
| 刊名 | EPIDEMIOLOGY AND INFECTION
 |
| 出版日期 | 2019 |
| 卷号 | 147页码:9 |
| 关键词 | Dengue fever determinant power GeoDetector risk factors |
| ISSN号 | 0950-2688 |
| DOI | 10.1017/S0950268818002820 |
| 通讯作者 | Kong, Lingcai(konglc@lreis.ac.cn) |
| 英文摘要 | Dengue fever (DF) has been a growing public-health concern in China since its emergence in Guangdong Province in 1978. Of all the regions that have experienced dengue outbreaks in mainland China, the city of Guangzhou is the most affected. This study aims to investigate the potential risk factors for dengue virus (DENV) transmission in Guangzhou, China, from 2006 to 2014. The impact of risk factors on DENV transmission was qualified by the q-values calculated using a novel spatial-temporal method, the GeoDetector model. Both climatic and socioeconomic factors were considered. The impacts on DF incidence of each single factor and the interaction of two factors were analysed. The results show that the number of days with rainfall of the month before last has the highest determinant power, with a q-value of 0.898 (P < 0.01); the q-values of the other factors related to temperature and precipitation were around 0.38-0.50. Integrating a Pearson correlation analysis, nonlinear associations were found between the DF incidence in Guangzhou and the climatic factors considered. The coupled impact of the different variables considered was enhanced compared with their individual effects. In addition, an increased number of tourists in the city were associated with a high incidence of DF. This study demonstrates that the number of rain days in a month has great influence on the DF incidence of the month after next; the temperature and precipitation have nonlinear impacts on the DF incidence in Guangzhou; both the domestic and overseas tourists coming to the city increase the risk of DENV transmission. These findings are useful in the risk assessment of DENV transmission, to predict DF outbreaks and to implement preventive DF reduction strategies. |
| WOS关键词 | METEOROLOGICAL FACTORS ; AEDES-ALBOPICTUS ; CHINA ; TEMPERATURE ; TRANSMISSION ; EPIDEMIC ; OUTBREAK ; CLIMATE ; DISEASE ; VECTOR |
| 资助项目 | Fundamental Research Funds for the Central Universities[9161017003] ; Fundamental Research Funds for the Central Universities[9161018003] ; State Key Laboratory of Resources and Environmental Information System, the Undergraduate Innovative Test Program[201710079087] |
| WOS研究方向 | Public, Environmental & Occupational Health ; Infectious Diseases |
| 语种 | 英语 |
| WOS记录号 | WOS:000455339100031 |
| 出版者 | CAMBRIDGE UNIV PRESS |
| 资助机构 | Fundamental Research Funds for the Central Universities ; State Key Laboratory of Resources and Environmental Information System, the Undergraduate Innovative Test Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/50623]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Kong, Lingcai |
| 作者单位 | 1.North China Elect Power Univ, Dept Math & Phys, Baoding, 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.North China Elect Power Univ, Elect & Elect Engn Sch, Baoding, Peoples R China 4.Chinese Ctr Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Collaborat Innovat Ctr Diag & Treatment Infect Di, Natl Inst Communicable Dis Control & Prevent, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kong, Lingcai,Xu, Chengdong,Mu, Pengfei,et al. Risk factors spatial-temporal detection for dengue fever in Guangzhou[J]. EPIDEMIOLOGY AND INFECTION,2019,147:9. |
| APA | Kong, Lingcai,Xu, Chengdong,Mu, Pengfei,Li, Jialiang,Qiu, Senyue,&Wu, Haixia.(2019).Risk factors spatial-temporal detection for dengue fever in Guangzhou.EPIDEMIOLOGY AND INFECTION,147,9. |
| MLA | Kong, Lingcai,et al."Risk factors spatial-temporal detection for dengue fever in Guangzhou".EPIDEMIOLOGY AND INFECTION 147(2019):9. |
入库方式： OAI收割
来源：地理科学与资源研究所
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