Applications of Big Data in Fighting the COVID-19 and Future Employment
2nd International Conference on Big Data Economy and Information Management, BDEIM 2021
; : 313-317, 2021.
Article
in English
| Scopus | ID: covidwho-1774573
ABSTRACT
Since the coronavirus (SARS-CoV-2) outbreak in 2019, it has infected millions of people and claimed the lives of tens of thousands of people. During the coronavirus pandemic, big data and its applications have become one of the few powerful means to fight the virus. Nowadays, many countries and research institutions are using big data and its applications to track and control the spread of the contagious disease. In the future, people can use big data to fight against such epidemics. For example, comparative genomic research on virus variants, accelerated by big data analysis, can yield important information about virus mutations and evolutionary selection. This article mainly discusses the application of big data during the COVID-19 pandemic and how to fight similar epidemics in the future. Software and applications have been developed based on big data to track and predict infections. IoT -based solutions have been deployed in preliminary diagnosis. Therefore, in similar epidemics in the future, big data can accelerate tracking, prediction, diagnosis, and treatment, which helps the government and experts make more informed decisions to fight the virus and reduce its social impact. © 2021 IEEE.
Application; Big data; COVID-19; Data model; Epidemics; Social impact; Application programs; Diagnosis; Disease control; Diseases; Economic and social effects; Viruses; Big data applications; Comparative genomics; Contagious disease; Coronaviruses; Evolutionary selection; Genomic research; ITS applications; Research institutions
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Big Data Economy and Information Management, BDEIM 2021
Year:
2021
Document Type:
Article
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