Residential College | false |
Status | 已發表Published |
AI-Empowered Data Analytics for Coronavirus Epidemic Monitoring and Control | |
Simon James Fong1; Nilanjan Dey2; Jyotismita Chaki3 | |
2021 | |
Source Publication | Artificial Intelligence for Coronavirus Outbreak |
Author of Source | Simon James Fong, Nilanjan Dey, Jyotismita Chaki |
Publication Place | Springer |
Publisher | Singapore |
Pages | 47-71 |
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. |
DOI | 10.1007/978-981-15-5936-5_3 |
URL | View the original |
Language | 英語English |
ISBN | 978-981-15-5936-5 |
Scopus ID | 2-s2.0-85087547077 |
Fulltext Access | |
Citation statistics | |
Document Type | Book chapter |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Simon James Fong |
Affiliation | 1.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 Affilication | University 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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