| 何明祯,刘剑,依火伍力,李源培,郑会民,周艺彪,姜庆五.高山地区钉螺分布的空间特征研究[J].Chinese journal of Epidemiology,2011,32(4):361-365 |
| 高山地区钉螺分布的空间特征研究 |
| Spatial characteristic of distribution of Oncomelania hupensis in mountainous regions |
| Received:October 26, 2010 |
| DOI： |
| KeyWord: 钉螺 空间分布 山区 地理信息系统 |
| English Key Word: oncomelanht hupensis Spatial distribution Mountainous regions Geographic |
| FundProject:国家科技重大专项(2008ZXl0004—011)；国家高技术研究发展技术(863计划)(2006AA022402)；高等学校博士学科点专项科研基金(20070246148) |
| Author Name | Affiliation | E-mail | | He Mingzhen | Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory On Public Health Safety, Ministry of Education, Shanghai 200032, China
| | | Liu Jian | Puge County Center for Disease Control and Prevention, Sichuan Province | | | Yihuo Wuli | Puge County Center for Disease Control and Prevention, Sichuan Province | | | Li Yuanpei | Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory On Public Health Safety, Ministry of Education, Shanghai 200032, China
| | | Zheng Huimin | Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory On Public Health Safety, Ministry of Education, Shanghai 200032, China
| | | Zhou Yibiao | Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory On Public Health Safety, Ministry of Education, Shanghai 200032, China
| | | Jiang Qingwu | Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory On Public Health Safety, Ministry of Education, Shanghai 200032, China
| jiangqw@fudan．edu．cn |
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| Abstract: |
| 目的分析山区钉螺分布的空间特征。方法建立四川省普格县钉螺分布的地理信息系统(GIS)，用空间自相关分析和空间扫描统计量法研究山区钉螺分布的空间特征。结果普格县钉螺分布存在空间自相关，其有螺框出现率的全局Moran’S I指数为0．095(P<0．05)。局部空间自相关分析显示有28个钉螺孳生地的局部空间关联指数(LISA)值有统计学意义(P结论普格县山区钉螺分布存在空间自相关，钉螺孳生地在空间上呈一定的聚集性，同时存在空间分布的异质性，利用这一规律可以更好地控制钉螺。 |
| English Abstract: |
| Objective To analyze the spatial characteristic on the distribution of Oncomelania hupensis in mountainous regions．Methods Based on the geographic database of snail distribution in Puge 0-．01111ty，Sichuan province，spatial autocorrelation analysis and spatial SCan statistics were applied to analyze the spatial eharacteristic of snail distribution．Results With regard to the rate of frame with snails.the global Moran’S I indicator was 0．095(P<0．05)．which indicated the spatial autocorrelation of snail distribution in Puge county．Data from the local spatial autoeorrelation analysis showed that there wcre 28 snail habitats with statistically significant differences on local indicators of spatial autocorrelation(LISA)value(P<0．05)，among which existed higll．higll，low·low，low-high and high-low four types of correlation model．The Spatial Scan Statistics had in total identified 24 snail habitat clusters(P<0．05)，including 14 high rate clusters and 10 lOW rate clusters，and the result was similar to that of LISA analysis．Conclusion There were spatial autocorrelation and spatial aggregation of snail distribution in mountainous regions，meanwhile spatial heterogeneity of snail distribution also existed．This law could be explored for better control of snails． |
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