Literature DB >> 27089777

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

Kun Yang, Shi-zhu Li.   

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.

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Year:  2015        PMID: 27089777

Source DB:  PubMed          Journal:  Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi        ISSN: 1000-7423


  2 in total

1.  Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification of Oncomelania hupensis Breeding Grounds-A Case Study of Dongting Lake Area.

Authors:  Jun Xu; Xiao Ouyang; Qingyun He; Guoen Wei
Journal:  Int J Environ Res Public Health       Date:  2021-02-17       Impact factor: 3.390

Review 2.  Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China.

Authors:  Liang Shi; Jian-Feng Zhang; Wei Li; Kun Yang
Journal:  Pathogens       Date:  2022-02-08
  2 in total

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