摘要
受疫情影响,全国各地交通、医疗、消费等多方面出现紧张局面。在疫情防控工作中,大数据分析结合通信、交通、医疗等多方数据,通过对数据进行研判,为各地应对疫情提供有效的网格化防控支撑,针对疫情防控、有序复工等多项工作分类指导,逐步恢复生产。大数据分析在疫情危机下表现出强大的功能体现。
Affected by the epidemic, tensions have arisen in various aspects of transportation, medical care and consumption across the country. In the epidemic prevention and control work, big data analysis combines communications, transportation, medical and other multi-party data, and through research and judgment of the data, it provides effective grid-based prevention and control support for the local response to the epidemic situation. The project is classified and guided to gradually resume production. Big data analysis shows a powerful function in the epidemic crisis.
作者
邓莹
DENG Ying(School of Statistics,University of International Business and Economics,Beijing 100029)
出处
《数字技术与应用》
2020年第3期82-83,共2页
Digital Technology & Application
关键词
大数据
功能
应用
big data
features
application
