Literature DB >> 32564570

[Progress of research regarding the influenza early warning system, based on "Big Data"].

Z O Fu1, C J Bao2, Z J Li3, L P Wang3, Y Li4, H B Leng5, Z H Peng6.   

Abstract

Shortcomings have been inherited in the traditional influenza early warning system, often expressed through the scope, accuracy on prediction and real-time performance of the monitor related programs. With the new round of scientific and technological revolution and the increasingly maturity of modern information system, related technology on influenza early warning has become the focus of research in this field, based on big data analysis technology. Using the traditional influenza surveillance and early warning system as reference, this paper summarizes the progress of influenza early warning research, based on the Internet, influencing factors, time and space trends, and risk assessment etc., to summarize the trends on the advantages, shortcomings and future development of big data, used in the early warning system on influenza.

Keywords:  Big data; Forecasting; Influenza early warning; Surveillance

Year:  2020        PMID: 32564570     DOI: 10.3760/cma.j.cn112338-20190908-00657

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  1 in total

1.  Prediction of Incidence Trend of Influenza-Like Illness in Wuhan Based on ARIMA Model.

Authors:  Pai Meng; Juan Huang; Deguang Kong
Journal:  Comput Math Methods Med       Date:  2022-07-12       Impact factor: 2.809

  1 in total

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