Chinese Journal of Vector Biology and Control >
Study on the application of flexible spatial scan statistic to spatial aggregation of the natural foci diseases
Received date: 2015-04-28
Online published: 2015-10-20
Supported by
Supported by the Health Industry Scientific Research Projects in Gansu Province (No. GSWST 2012-06) and the Major National Science and Technology Projects of China (No. 2012ZX10004-208)
Objective To explore the spatial distribution of 4 natural foci diseases in Gansu province and provide theoretical basis for the diseases prevention and control. Methods Spatial clustering analysis was used to draw the higher incidence areas of 4 natural foci diseases from 2009 to 2013 in Gansu province, simultaneously, Geographic Information System(GIS) was also employed to visualize results of cluster detection tests. Results The results of the spatial clustering detection showed that the districts with spatial aggregation display a marked difference of 4 natural foci diseases. The hemorrhagic fever, brucellosis and anthrax mainly concentrated in the humid region in southeast of Gansu province, the cases were more prevalent in southeast and less in northwest. The brucellosis and anthrax high-risk areas mainly concentrated in the pastoral areas, while malaria high-risk areas mainly concentrated in western Gansu. Conclusion The early warning system based on flexible spatial scan statistic and geographical information system could work efficiently.
WEI Kong-fu, LIU Xin-feng, REN Xiao-wei, LIU Dong-peng, LIU Hai-xia, ZHENG Yun-he, CHENG Yao, JIANG Xiao-juan, YANG Xiao-ting, LI Zhi-ping, GOU Fa-xiang, MENG Lei . Study on the application of flexible spatial scan statistic to spatial aggregation of the natural foci diseases[J]. Chinese Journal of Vector Biology and Control, 2015 , 26(5) : 454 -457 . DOI: 10.11853/j.issn.1003.4692.2015.05.006
[1] 周剑南, 冯子健, 谭柯, 等. Flexible空间扫描统计量在传染病聚集性探测的应用研究[J]. 中华疾病控制杂志, 2010, 14(6):474-478.
[2] Takahashi K, Kulldorff M, Tango T, et al. A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring[J]. Int J Health Geogr, 2008, 7:14.
[3] Tango T, Takahashi K. A flexibly shaped spatial scan statistic for detecting clusters[J]. Int J Health Geogr, 2005, 4:11.
[4] Kulldorff M, Hung L, Pickle L, et al. An elliptic spatial scan statistic[J]. Stat Med, 2006, 25(22):3929-3943.
[5] 唐咸艳, 仇小强, 黄天壬, 等. 空间扫描统计在广西肝癌空间格局中的应用研究[J]. 中国卫生统计, 2009, 26(2):114-116.
[6] 张文增, 李长青, 冀国强, 等. 空间扫描统计量在手足口病空间聚集性研究中的应用[J]. 中国卫生统计, 2012, 29(4):507-509, 513.
[7] Takahashi K, Tango T. A comparison of Sat Scan and FlexScan for outbreak detection and monitoring[J]. Adv Dis Surv, 2008, 5:67.
[8] 李凡, 杨俊科, 陈生邦, 等. 甘肃省疟疾流行现状和防治措施[J]. 中国热带医学, 2012, 12(10):1261-1262.
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