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Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China 期刊论文
ENVIRONMENTAL RESEARCH, 2020, 卷号: 183, 页码: 8
Authors:  Liu, Keke;  Hou, Xiang;  Ren, Zhoupeng;  Lowe, Rachel;  Wang, Yiguan;  Li, Ruiyun;  Liu, Xiaobo;  Sun, Jimin;  Lu, Liang;  Song, Xiupin;  Wu, Haixia;  Wang, Jun;  Yao, Wenwu;  Zhang, Chutian;  Sang, Shaowei;  Gao, Yuan;  Li, Jing;  Li, Jianping;  Xu, Lei;  Liu, Qiyong
Favorite  |  View/Download：10/0  |  Submit date：2020/05/19
Dengue  EASM  Climate variables  Ecological niche model  Generalised additive model  
Neglected Urban Villages in Current Vector Surveillance System: Evidences in Guangzhou, China 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 卷号: 17, 期号: 1, 页码: 15
Authors:  Wu, Sijia;  Ren, Hongyan;  Chen, Wenhui;  Li, Tiegang
Favorite  |  View/Download：10/0  |  Submit date：2020/05/19
urban villages  Ae. albopictus density  Neglected macroscopic incubator  vector surveillance system  Guangzhou  
Urban villages as transfer stations for dengue fever epidemic: A case study in the Guangzhou, China 期刊论文
PLOS NEGLECTED TROPICAL DISEASES, 2019, 卷号: 13, 期号: 4, 页码: 17
Authors:  Ren, Hongyan;  Wu, Wei;  Li, Tiegang;  Yang, Zhicong
Favorite  |  View/Download：19/0  |  Submit date：2019/09/24
Spatiotemporal characteristics and primary influencing factors of typical dengue fever epidemics in China 期刊论文
INFECTIOUS DISEASES OF POVERTY, 2019, 卷号: 8, 页码: 12
Authors:  Zheng, Lan;  Ren, Hong-Yan;  Shi, Run-He;  Lu, Liang
Favorite  |  View/Download：26/0  |  Submit date：2019/05/22
Spatiotemporal pattern  China  Dengue fever  Generalized additive model  Socioeconomic factor  Environmental factor  
Risk factors spatial-temporal detection for dengue fever in Guangzhou 期刊论文
EPIDEMIOLOGY AND INFECTION, 2019, 卷号: 147, 页码: 9
Authors:  Kong, Lingcai;  Xu, Chengdong;  Mu, Pengfei;  Li, Jialiang;  Qiu, Senyue;  Wu, Haixia
Favorite  |  View/Download：24/0  |  Submit date：2019/05/23
Dengue fever  determinant power  GeoDetector  risk factors  
Spatiotemporal responses of dengue fever transmission to the road network in an urban area 期刊论文
ACTA TROPICA, 2018, 卷号: 183, 页码: 8-13
Authors:  Li, Qiaoxuan;  Cao, Wei;  Ren, Hongyan;  Ji, Zhonglin;  Jiang, Huixian
Favorite  |  View/Download：24/0  |  Submit date：2019/05/23
Dengue  Road networks  Guangzhou  Foshan  
Projecting potential spatial and temporal changes in the distribution of Plasmodium vivax and Plasmodium falciparum malaria in China with climate change 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 627, 页码: 1285-1293
Authors:  Hundessa, Samuel;  Williams, Gail;  Li, Shanshan;  Liu, De Li;  Cao, Wei;  Ren, Hongyan;  Guo, Jinpeng;  Gasparrini, Antonio;  Ebi, Kristie;  Zhang, Wenyi;  Guo, Yuming
Favorite  |  View/Download：28/0  |  Submit date：2019/05/23
P. vivax  P. falciparum  Climate  Malaria  RCP  Scenario  
Mapping the spatial distribution of Aedes aegypti and Aedes albopictus 期刊论文
ACTA TROPICA, 2018, 卷号: 178, 页码: 155-162
Authors:  Ding, Fangyu;  Fu, Jingying;  Jiang, Dong;  Hao, Mengmeng;  Lin, Gang
Favorite  |  View/Download：16/0  |  Submit date：2019/05/30
Global distribution  Aedes aegypti  Aedes albopictus  Multidisciplinary datasets  Machine learning models  
Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale 期刊论文
GEOSPATIAL HEALTH, 2018, 卷号: 13, 期号: 2, 页码: 287-297
Authors:  Qu, Yubing;  Shi, Xun;  Wang, Yong;  Li, Rendong;  Lu, Liang;  Liu, Qiyong
Favorite  |  View/Download：22/0  |  Submit date：2019/05/23
Dengue  Fine scale  Spatial heterogeneity  Generalized additive model  China  
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 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2017, 卷号: 14, 期号: 12, 页码: 13
Authors:  Ren, Hongyan;  Zheng, Lan;  Li, Qiaoxuan;  Yuan, Wu;  Lu, Liang
Favorite  |  View/Download：8/0  |  Submit date：2019/05/30
dengue fever  spatial variations  Guangzhou and Foshan  socioeconomic factors  geographically weighted regression