Media Big Data Cyber Infrastructure for Epidemic Prevention and Emergency Response

Abstract

Big data in the media is facing many challenges with huge volume, rapid increase, and a wide variety. Moreover, in the context of the global coronavirus epidemic prevention and control, media big data has different characteristics and missions. The scientific data platform, tool integration, scientific research process and international cooperation proposed in this article are implemented in four main lines of international cooperation for the implementation of ideas and technical methods in the field of media big data science for epidemic prevention and emergency, to achieve effective data management and analysis to improve the efficiency of scientific discovery. For cyber infrastructure research, preliminary research needs to build a digital, data-based, and intelligent cyber infrastructure framework and emergency response measures for disease prevention, psychological comfort, and material security. Based on the concept of Data-Method-Model-System-Standard, the research overall design framework of MEP (media big data for epidemic prevention) is generated, and the research results are intended to help the epidemic prevention ecological layout of the media big data. An integrated basic information platform has been established globally.