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Application of Big Data Mining Technology in Monitoring and Early-warning of Schistosomiasis

YANG Kun1*, LI Shi-zhu2   

  1. 1 Jiangsu Institute of Parasitic Diseases; Key Laboratory on Technology for Parasitic Disease Prevention and Control, Ministry of Health, Wuxi 214064, China; 2 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, MOH; WHO Collaborating Centre for Tropical Diseases; Shanghai 200025, China
  • Online:2015-12-30 Published:2016-03-24

Abstract:

The prevalence of schistosomiasis will soon be controlled to a low level in China. It is therefore imperative to establish a more sensitive and effective early warning system for schistosomiasis, so as to consolidate the achievements of the disease control. By covering four topics including the importance of early warning system for schistosomiasis and its research direction, as well as recent development in big data mining and its application in monitoring and early-warning of schistosomiasis, this review discusses the feasibility of data mining technology for monitoring and early warning of the disease. It is hoped that this technology would increase the efficacy of studies on monitoring and early warning, and promote the elimination of schistosomiasis in China.

Key words: Schistosomiasis, Big data mining, Monitoring and early warning system