Spatial and Temporal Characteristics of 2014 Dengue Outbreak in Guangdong, China

被引:14
|
作者
Sanna, Mattia [1 ]
Wu, Jianyong [2 ,3 ,4 ,5 ]
Zhu, Yanshan [2 ,3 ,4 ,5 ]
Yang, Zhicong [6 ]
Lu, Jiahai [2 ,3 ,4 ,5 ]
Hsieh, Ying-Hen [1 ,7 ]
机构
[1] China Med Univ, Dept Publ Hlth, Taichung, Taiwan
[2] Sun Yat Sen Univ, Sch Publ Hlth, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Minist Educ, Key Lab Trop Dis Control, Guangzhou, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Hlth Ctr Excellence Res & Training 1, Guangzhou, Guangdong, Peoples R China
[5] Sun Yat Sen Univ, Sch Publ Hlth, Zhongshan Res Inst, Zhongshan, Peoples R China
[6] Guangzhou Ctr Dis Control & Prevent, Guangzhou, Guangdong, Peoples R China
[7] China Med Univ, Ctr Infect Dis Educ & Res, Taichung, Taiwan
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
基金
中国国家自然科学基金;
关键词
AEDES-AEGYPTI; TRANSMISSION; GUANGZHOU; EPIDEMIC; DISEASE; IMPACT; FEVER;
D O I
10.1038/s41598-018-19168-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The record-breaking number of dengue cases reported in Guangdong, China in 2014 has been topic for many studies. However, the spatial and temporal characteristics of this unexpectedly explosive outbreak are still poorly understood. We adopt an integrated approach to ascertain the spatial-temporal progression of the outbreak in each city in Guangdong as well as in each district in Guangzhou, where the majority of cases occurred. We utilize the Richards model, which determines the waves of reported cases at each location and identifies the turning point for each wave, in combination with a spatial association analysis conducted by computing the standardized G* statistic that measures the degree of spatial autocorrelation of a set of geo-referenced data from a local perspective. We found that Yuexiu district in Guangzhou was the initial hot spot for the outbreak, subsequently spreading to its neighboring districts in Guangzhou and other cities in Guangdong province. Hospital isolation of cases during early stage of outbreak in neighboring Zhongshan (in effort to prevent disease transmission to the vectors) might have played an important role in the timely mitigation of the disease. Integration of modeling approach and spatial association analysis allows us to pinpoint waves that spread the disease to communities beyond the borders of the initially affected regions.
引用
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页数:10
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