Lai S J, Feng L Z, Leng Z W, Lyu X, Li R Y, Yin L, Luo W, Li Z J, Lan Y J, Yang W Z
World Pop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2021 Aug 10;42(8):1330-1335. doi: 10.3760/cma.j.cn112338-20210512-00391.
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.
本文总结了传染病暴发早期预警的基本原理和模型,介绍了基于不同数据来源的传染病早期预警系统及其应用,并探讨了大数据及其分析技术在传染病预防和控制中的应用潜力,这些技术已在新冠疫情防控中得到研究和应用,包括互联网查询、社交媒体、移动定位等,用于传染病早期预警,以期为建立基于多源大数据的传染病智能预警机制和平台提供参考。