未来疫情防控信息融合:公共疫情应急管理大数据智能创新持续机制

IF 3.6 2区管理学 Q2 BUSINESS

Journal of Management Analytics Pub Date : 2021-07-01 DOI:10.1080/23270012.2021.1945499

Shin-Yi Yin, N. Zhang, Junfeng Xu

引用次数: 29

摘要

信息融合对于应对新冠肺炎等公共疫情是非常有效和必要的。大数据智能化作为信息融合的产物，在互联网上发挥着重要作用。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Information fusion for future COVID-19 prevention: continuous mechanism of big data intelligent innovation for the emergency management of a public epidemic outbreak

Information fusion is very effective and necessary to respond to a public epidemic outbreak such as COVID-19. Big data intelligent, as a product of information fusion, plays an important role in th...

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来源期刊

Journal of Management Analytics SOCIAL SCIENCES, MATHEMATICAL METHODS-

CiteScore

13.30

自引率

3.40%

发文量

期刊介绍： The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.