A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system

  • Kun Yang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Le-Ping Sun Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Yi-Xin Huang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Guo-Jing Yang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Feng Wu Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • De-Rong Hang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Wei Li Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Jian-Feng Zhang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Yong-Sheng Liang Jiangsu Institute of Parasitic Diseases, Wuxi; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi, China.
  • Xiao-Nong Zhou | ipdzhouxn@sh163.net National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai; WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai, China.

Abstract

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.

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Published
2012-05-01
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Original Articles
Keywords:
geographical information system, remote sensing, spatio-temporal epidemiology, Google Earth, real-time surveillance, early-warning system, schistosomiasis, People’s Republic of China.
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How to Cite
Yang, K., Sun, L.-P., Huang, Y.-X., Yang, G.-J., Wu, F., Hang, D.-R., Li, W., Zhang, J.-F., Liang, Y.-S., & Zhou, X.-N. (2012). A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system. Geospatial Health, 6(2), 195-203. https://doi.org/10.4081/gh.2012.137