Visualized Exploratory Spatiotemporal Analysis of Hand-Foot-Mouth Disease in Southern China

被引:20
作者
Huang, Ji-Xia [1 ,2 ,3 ]
Wang, Jin-Feng [3 ]
Li, Zhong-Jie [4 ]
Wang, Yan [5 ]
Lai, Sheng-Jie [4 ]
Yang, Wei-Zhong [4 ]
机构
[1] Beijing Forestry Univ, Coll Forestry, Beijing, Peoples R China
[2] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[3] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[4] Chinese Ctr Dis Control & Prevent, Key Lab Infect Dis Surveillance & Early Warning, Beijing, Peoples R China
[5] Beijing Res Inst Water Affair Automat, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
TRANSMISSION DYNAMICS; BRUCELLOSIS MODEL; INFECTION;
D O I
10.1371/journal.pone.0143411
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
Objectives In epidemiological research, major studies have focused on theoretical models; however, few methods of visual analysis have been used to display the patterns of disease distribution. Design For this study, a method combining the space-time cube (STC) with space-time scan statistics (STSS) was used to analyze the pattern of incidence of hand-foot-mouth disease (HFMD) in Guangdong Province from May 2008 to March 2009. In this research, STC was used to display the spatiotemporal pattern of incidence of HFMD, and STSS were used to detect the local aggregations of the disease. Setting The hand-foot-mouth disease data were obtained from Guangdong Province from May 2008 to March 2009, with a total of 68,130 cases. Results The STC analysis revealed a differential pattern of HFMD incidence among different months and cities and also showed that the population density and average precipitation are correlated with the incidence of HFMD. The STSS analysis revealed that the most likely aggregation includes the Shenzhen, Foshan and Dongguan populations, which are the most developed regions in Guangdong Province. Conclusion Both STC and STSS are efficient tools for the exploratory data analysis of disease transmission. STC clearly displays the spatiotemporal patterns of disease. Using the maximum likelihood ratio, the STSS model precisely locates the most likely aggregation.
引用
收藏
页数:17
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