文章基本信息

标题：A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system
本地全文：下载
作者：Kun Yang ; Le-Ping Sun ; Yi-Xin Huang 等
期刊名称：Geospatial Health
印刷版ISSN：1970-7096
出版年度：2012
卷号：6
期号：2
页码：195-203
DOI：10.4081/gh.2012.137
出版社：PAGEPress Publications
摘要：A basic framework for the rapid assessment of the risk for schistosomiasis was developed by combining spatial data from Google Earth® with a geographical information system (GIS) package, bundling the modules together with an Internet connection into a WebGIS platform.It operates through functions such as “search“, “evaluation“, “risk analysis“ and “prediction“ and is primarily aimed to be a dynamic, early-warning system (EWS) providing user-friendly, evidencebased, near real-time awareness of the status of an important endemic disease.It contributes to rapid information-sharing at all levels of decision-making, facilitating “point-of-care“ response, i.e.treatment provided at newly discovered transmission sites.The experience using the platform is encouraging and it has the potential to improve support systems and strengthen schistosomiasis control activities, in particular with regard to surveillance and EWS.It can quickly and intuitively locate early, high-risk areas, retrieve all important data needed as well as provide detailed, up-to-date information on the performance of the control programme.This WebGIS, the first of its kind in the People’s Republic of China, is not only applicable for schistosomiasis but can easily be adapted for improving control of any endemic disease in any geographical area.
关键词：geographical information system; remote sensing; spatio-temporal epidemiology; Google Earth; real-time surveillance; early-warning system; schistosomiasis; People’s Republic of China.