基于Google Earth构建基层血防历史有螺环境监测数据库  被引量:8

Establishment of a monitoring database of historical Oncomelania hupensis environments at grass-root level for schistosomiasis prevention based on Google Earth

在线阅读下载全文

作  者:赵晓斌 许檬珺 叶文娟 高东林[2] 张轩[2] 陆兵[2] 孟晓军[2] 

机构地区:[1]江苏省无锡市锡山区羊尖镇社区卫生服务中心,无锡214107 [2]江苏省无锡市疾病预防控制中心

出  处:《中国血吸虫病防治杂志》2016年第3期306-309,共4页Chinese Journal of Schistosomiasis Control

基  金:江苏省无锡市科技局科技专项重点项目(CSE31N1407)

摘  要:目的应用谷歌地球(Google Earth,GE)建立基层血防历史有螺环境监测数据库,以提高历史有螺环境管理效率。方法在GE软件平台上完成无锡市锡山区羊尖镇历史有螺环境相关信息的标注;同时通过POCO网络相册将历史有螺环境现况图片导入GE软件,实现对环境现况的动态监测和管理。结果共调查历史有螺环境553个,面积50.6hm^2;以Ⅳ类环境为主,共224个,面积20.5 hm^2,分别占历史有螺环境环境总数和总面积的40.5%和40.5%。以此为基础,通过GE软件在乡(镇)层面建立了历史有螺环境数据库,获得了全乡(镇)历史有螺环境分布图。结论利用GE软件易于实现对历史有螺环境的可视化管理和动态监测,适合在基层血防机构中推广应用。Objective To establish a monitoring database of historical Oncomelania hupensis environments at grass-root level for schistosomiasis prevention based on Google Earth(GE),so as to improve the management efficiency of historical O. hupensis environments. Methods GE was labeled with the information about the historical O. hupensis environments through adding landmark,path and polygon. Meanwhile,POCO web album was used to storage the practice situation pictures of the environments,which could be imported into GE so that the environments could be monitored dynamically. Results There were 553 historical O. hupensis snail environments in Yangjian Town,Xishan District,Wuxi City and the accumulative area was 506 000m^2. Among these environments,224(40.5%)were Class Ⅳ environments,accounting for 40.5% of accumulative area. Concluonclusions The monitoring database of historical O. hupensis environments based on GE at country level is established successfully and it can be used to manage the historical snail environments visually and monitor the changes dynamically.

关 键 词:血吸虫病 钉螺 谷歌地球 历史有螺环境 监测 

分 类 号:R383.24[医药卫生—医学寄生虫学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象