| 付之鸥,鲍昌俊,李中杰,王丽萍,李苑,冷寒冰,彭志行.基于“大数据”的流感预警研究进展[J].中华流行病学杂志,2020,41(6):975-980 |
| 基于“大数据”的流感预警研究进展 |
| Progress of research regarding the influenza early warning system, based on “Big Data” |
| 投稿时间：2019-09-08 |
| DOI：10.3760/cma.j.cn112338-20190908-00657 |
| KeyWord: 大数据 流感预警 监测 预测 |
| English Key Word: Big data Influenza early warning Surveillance Forecasting |
| FundProject:国家自然科学基金（81673275）；国家传染病科技重大专项（2017ZX10201101-002-001，2018ZX10715-002，2018ZX10713001）；深圳市科技创新委员会（JCYJ20160427155352873）；江苏省优势学科建设项目 |
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| ClickNum: 9588 |
| PDFClickNum: 43116 |
| Abstract: |
| 传统流感预警体系在监测范围、预测准确性和实时性等方面仍存在不足。随着新一轮科技革命的兴起，现代信息技术日趋成熟，以大数据分析为基础的流感预警技术已经成为研究焦点。本文以传统流感监测预警体系作为参照，从互联网、影响因素、时空趋势、风险评估4个角度总结基于大数据的流感预警研究进展，综述大数据在流感预警中的优势、不足及未来发展的趋势。 |
| English 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. |
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