Spatial analysis of malaria in Anhui province, China

被引:68
|
作者
Zhang, Wenyi [1 ]
Wang, Liping [2 ]
Fang, Liqun [1 ]
Ma, Jiaqi [2 ]
Xu, Youfu [1 ]
Jiang, Jiafu [1 ]
Hui, Fengming [1 ]
Wang, Jianjun [3 ]
Liang, Song [4 ]
Yang, Hong [1 ]
Cao, Wuchun [1 ]
机构
[1] Beijing Inst Microbiol & Epidemiol, State Key Lab Pathogen & Biosecur, Beijing, Peoples R China
[2] Natl Ctr Dis Control & Prevent, Ctr Publ Hlth Informat, Beijing, Peoples R China
[3] Anhui Ctr Dis Control & Prevent, Hefei, Peoples R China
[4] Ohio State Univ, Coll Publ Hlth, Columbus, OH 43210 USA
关键词
D O I
10.1186/1475-2875-7-206
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: Malaria has re-emerged in Anhui Province, China, and this province was the most seriously affected by malaria during 2005-2006. It is necessary to understand the spatial distribution of malaria cases and to identify highly endemic areas for future public health planning and resource allocation in Anhui Province. Methods: The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of malaria incidence at the county level. Results: The spatial distribution of malaria cases in Anhui Province from 2000 to 2006 was mapped at the county level to show crude incidence, excess hazard and spatial smoothed incidence. Spatial cluster analysis suggested 10 and 24 counties were at increased risk for malaria ( P < 0.001) with the maximum spatial cluster sizes at < 50% and < 25% of the total population, respectively. Conclusion: The application of GIS, together with spatial statistical techniques, provide a means to quantify explicit malaria risks and to further identify environmental factors responsible for the re-emerged malaria risks. Future public health planning and resource allocation in Anhui Province should be focused on the maximum spatial cluster region.
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页数:10
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