南水北调中线钟祥地区血吸虫病地理信息系统数据库的建立与分析

牛安欧; 刘书耀; 李涛; 邓伟文; 魏晓文

Abstract

牛安欧,刘书耀,李涛,邓伟文,魏晓文.南水北调中线钟祥地区血吸虫病地理信息系统数据库的建立与分析[J].Chinese journal of Epidemiology,2005,26(11):871-873

南水北调中线钟祥地区血吸虫病地理信息系统数据库的建立与分析

Study on the geographic information system databases regarding the control of schistosomiasis in Zhongxiang,Hubei province,China

Received:February 01, 2005

DOI：

KeyWord: 血吸虫病地理信息系统遥感技术南水北调

English Key Word: Schistosomiasis Geographic information system Remote sensing techniques The South-to-North water transferring project

FundProject:

Author Name	Affiliation	E-mail
NIU An-ou	v
LIU Shu-yao	Department of Parasitology, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
LI Tao	华中科技大学图像识别与人工智能研究所
DENG Wei-wen	Department of Parasitology, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China	xhfang@public3.bta.net cn
WEI Xiao-wen	湖北省钟祥市血吸虫防治办公室

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Abstract:

目的应用地理信息系统(GIS)与遥感(RS)技术建立湖北省钟祥地区血吸虫病相关数据库的地理分布图, 并对疾病的分布现状和南水北调中线工程后的发展趋势进行纵向分析. 方法收集钟祥地区近30年的血吸虫病流行病学数据及相关的气象、水文数据, 通过构建遥感图像分类的神经网络及网络训练, 建立相应的GIS数据库及显示图像. 结果完成钟祥地区及周边区域血吸虫病流行的GIS数据库及1幅钟祥地区疫情图, 依据图像计算, 有螺面积(公顷, hm2)分别为4. 4、8. 2、24、130. 4、8. 13和7. 53. 结论 GIS和RS技术制作的图像清晰、简明、直观, 支持复杂的空间和属性查询, 便于血吸虫病资料的保存与分析, 为相关区域血吸虫病防治信息的现代化管理提供新手段.

English Abstract:

Objective Using geographic information system (GIS) and the remote sensing techniques(RS), we developed a schistosomiasis database and geographic distribution map in Zhongxiang city, Hubei province in order to display and analyze the endemic situation longitudinally after the water conservancy project is completed. Methods Epidemiological data of schistosomiasis and the correlated climate and hydrology data for the last 30 years were collected and the relevant GIS databases were established under Artificial Neural Networks(ANN) and network training of Landsat TM images. Results GIS database of schistosomiasis in Zhongxiang city, Hubei province and its vicinity areas were developed including 1 maps regarding the epidemic situation of schistosomiasis. The areas of snail distributing were 4. 4 hm2, 8. 2 hm2, 24 hm2, 130. 4 hm2, 8. 13 hm2 and 7. 53 hm2, respectively. Conclusion The maps created by GIS database and RS techniques supported the complicated query on space and property, providing a new way in keeping, updating and analyzing available data. The techniques used should be able to provide evidence for the control of schistosomiasis to this water conservancy project.

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