重要呼吸道传染病智慧化监测预警与有效应对策略探讨

The Exploration of Strategy for Intelligent Surveillance and Early Warning ofImportant Respiratory Infectious Diseases and Application of EffectiveCountermeasures

全球新发突发传染病不断出现,特别是新型冠状病毒肺炎疫情暴发,对人类健康和社会发展造成巨大影响。本文通过不同渠道收集有关资料,试图梳理我国呼吸道传染病监测预警发展和现状,探讨采用大数据、区块链、人工智能等高新技术,建立智慧化新发突发呼吸道传染病监测预警平台。运用统一关键数据标准、口径,打通部门之间数据壁垒,建立数据共享机制,实时自动采集与传染病有关的数据信息。利用大数据、人工智能、云计算等技术,建立相关数据模型,强化数据分析应用,达到早期识别和预警,做到遏止突发事件的发生发展和传播。同时,在疫情防控过程中能够实时获得疫情的发生发展趋势,及时提出科学精准的有效防控策略。不断提升我国应对突发公共卫生事件的能力和水平,保障我国生物安全。

Emerging infectious diseases(EIDs)constantly occur worldwide,for example the outbreak of COVID-19;they have an enormous impact on human health and social development.An effective warning system needs to be built for pre/early detection of EIDs,and to stop or effectively respond to EIDs in a timely way.Here,we collected information and summarized and analyzed the situation regarding surveillance and early warning using high technologies to explore establishing intelligent surveillance and an early warning platform for emerging and re-emerging respiratory infectious diseases.With a unified data format and standard of coordination and communication among departments,establishment of data sharing mechanisms would automatically obtain infectious diseases information in a timely manner.Using technologies such as big data,blockchain,artificial intelligence,and cloud computing,we can build models to strengthen data analysis and application,to enable the early identification of EIDs and to enable responses to stop EIDs occurrence and spreading.The situation of an EID epidemic is obtained in real-time during the EID control process.This work will continue to improve the capacity of public health emergency responses,and safeguard the national biosecurity level.