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AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control
Simon James Fong1; Nilanjan Dey2; Jyotismita Chaki3
2021
Source PublicationArtificial Intelligence for Coronavirus Outbreak
Author of SourceSimon James Fong, Nilanjan Dey, Jyotismita Chaki
Publication PlaceSpringer
PublisherSingapore
Pages47-71
Abstract

Governments and authorities knew little about the virus since the emergency of COVID-19 outbreak. The Chinese government upon the discovery of the early patients in Wuhan, informed WHO on 31 December 2019, as pneumonia of unknown causes. Epidemiologists, data scientists and biostatisticians have been working hand-in-hand for a common mission of trying to characterize and understand the characteristics of the infection as well as the virus itself, which is SARS alike.

DOI10.1007/978-981-15-5936-5_3
URLView the original
Language英語English
ISBN978-981-15-5936-5
Scopus ID2-s2.0-85087547077
Fulltext Access
Citation statistics
Document TypeBook chapter
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSimon James Fong
Affiliation1.Department of Computer and Information Science,University of Macau,Taipa,Macao
2.Department of Information Technology,Techno International New Town,Kolkata,India
3.School of Information Technology and Engineering,Vellore Institute of Technology,Vellore,India
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Simon James Fong,Nilanjan Dey,Jyotismita Chaki. AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control[M]. Artificial Intelligence for Coronavirus Outbreak, Springer:Singapore, 2021, 47-71.
APA Simon James Fong., Nilanjan Dey., & Jyotismita Chaki (2021). AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control. Artificial Intelligence for Coronavirus Outbreak, 47-71.
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