摘要
本文回顾了传染病暴发或流行早期预警的基本原理和主要的预警模型,介绍了基于不同数据源的传染病预警系统及其应用;针对新型冠状病毒肺炎疫情期间研究和应用的互联网搜索、社交媒体、人员流动等大数据及其分析方法,探讨其在传染病预警中的应用前景,以期为建立基于多源大数据的传染病智慧化预警机制和平台提供参考。
This paper summarizes the basic principles and models of early warning for infectious disease outbreaks,introduces the early warning systems for infectious disease based on different data sources and their applications,and discusses the application potential of big data and their analysing techniques,which have been studied and used in the prevention and control of COVID-19 pandemic,including internet inquiry,social media,mobile positioning,in the early warning of infectious diseases in order to provide reference for the establishment of an intelligent early warning mechanism and platform for infectious diseases based on multi-source big data.
作者
赖圣杰
冯录召
冷志伟
吕欣
李瑞云
尹凌
骆威
李中杰
兰亚佳
杨维中
Lai Shengjie;Feng Luzhao;Leng Zhiwei;Lyu Xin;Li Ruiyun;Yin Ling;Luo Wei;Li Zhongjie;Lan Yajia;Yang Weizhong(World Pop,School of Geography and Environmental Science,University of Southampton,Southampton SO171BJ,UK;School of Population Medicine and Public Health,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100730,China;College of Systems Engineering,National University of Defence Technology,Changsha 410073,China;Centre for Ecological and Evolutionary Synthesis,University of Oslo,Oslo NO-0316,Norway;Shenzhen Institute of Advanced Technologies,Chinese Academy of Sciences,Shenzhen 518055,China;Geography Department,National University of Singapore,Singapore 117570,Singapore;Division of Infectious Disease,Key Laboratory of Surveillance and Early Warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing 102206,China;West China School of Public Health,Sichuan University,Chengdu 610041,China)
出处
《中华流行病学杂志》
CSCD
北大核心
2021年第8期1330-1335,共6页
Chinese Journal of Epidemiology
基金
中国医学科学院医学与健康科技创新工程(2020-I2M-1-001)
国家自然科学基金(81773498,82041020,72025405,41771441)。
