摘要
新型冠状病毒肺炎疫情蔓延给全球公共卫生领域带来巨大挑战。大数据作为重要的干预手段,在疫情期间为政府、医疗机构等组织提供了疫情扩散趋势预测、实时监控分析,病毒溯源、防控救治等手段,为相关政策制定和方案实施提供了重要支持。本研究阐述了大数据在精准公共卫生领域中的应用,并以新冠肺炎疫情干预为例,重点介绍了突发公共卫生事件中大数据发挥的作用,以及面临的挑战与困境,以期为促进公共卫生精准管理提供新的思路。
The spread of COVID-19 poses a huge challenge to the global public health field.As an important intervention method,big data was used for epidemic spread prediction,virus tracing,monitoring and analyzing,prevention and treatment,etc.,which provides important support for the formulation of relevant policies and the implementation of the program.This study describes the application of big data in the field of precision public health and takes the COVID-19 epidemic intervention as an example to highlight the role of big data in public health emergencies.Meanwhile,big data is challenged by data collecting and management and other issues.Finally,this study is expected to provide new perspectives for improving precise management of public health.
作者
谢文澜
孙雨圻
XIE Wenlan(Children's Research Institute,Ningbo Childhood Education College,Ningbo,Zhejiang,315000,China)
出处
《医学与社会》
北大核心
2021年第6期119-123,共5页
Medicine and Society
基金
教育部学校规划建设发展中心宁波教育学院儿童研究院立项课题,编号为CSDP20FS0B314
宁波市自然科学基金,编号为2018A610287
浙江省哲社规划课题,编号为19NDQN325YB。