基于政务云的辽宁省区域流行病学调查管理信息系统设计与应用

Development and application of a government cloud platform-based epidemiological survey information management system in Liaoning province

为提升突发公共卫生事件的应急处置能力,本研究借助政务云信息系统算力性能强、数据交换安全可靠、服务器部署灵活、数据采集高效等优势,利用大数据,云计算,图像识别、语音识别,5G、GIS等技术,设计基于政务云的辽宁省区域流行病学调查管理信息系统,以流行病学调查为源头,构建空间、时间和人物关系的多维疫情传播模型及大数据分析,实现省、市、区三级联动、跨省协查实时协同,联防联控信息全流程闭环管理。

We established a government cloud platform-based epidemiological survey information management system to improve the capability of response to public health emergencies in Liaoning province.By using big data,cloud computing,image recognition,speech recognition,fifth generation(5G),geographic information systems(GIS)and other technologies,the system takes the advantages of government cloud platform including strong computing power,safe and reliable data exchange,flexible server deployment,and efficient data collection.The system could be used to construct multi-dimensional transmission model of epidemics,to conduct big data analysis,to link the data collected at provincial/municipal and district levels,to assist real-time cross-provincial collaborative investigation,and to carry out closed-loop management on the information of joint prevention and control of epidemic.The established system came into operation in August 2021 in Liaoning province and played an important role in regional epidemic control and prevention.