Standard
Harvard
Zhu, Y, Jiang, R & Ni, Q 2022,
A Survey on AI-Enabled Pandemic Prediction and Prevention: What We Can Learn from COVID. in R Jiang, A Bouridane, C-T Li, D Crookes, S Boussakta, F Hao & EA Edirisinghe (eds),
Advanced Sciences and Technologies for Security Applications. Advanced Sciences and Technologies for Security Applications, Springer, pp. 133-145.
https://doi.org/10.1007/978-3-031-04424-3_8
APA
Zhu, Y., Jiang, R., & Ni, Q. (2022).
A Survey on AI-Enabled Pandemic Prediction and Prevention: What We Can Learn from COVID. In R. Jiang, A. Bouridane, C.-T. Li, D. Crookes, S. Boussakta, F. Hao, & E. A. Edirisinghe (Eds.),
Advanced Sciences and Technologies for Security Applications (pp. 133-145). (Advanced Sciences and Technologies for Security Applications). Springer.
https://doi.org/10.1007/978-3-031-04424-3_8
Vancouver
Zhu Y, Jiang R, Ni Q.
A Survey on AI-Enabled Pandemic Prediction and Prevention: What We Can Learn from COVID. In Jiang R, Bouridane A, Li CT, Crookes D, Boussakta S, Hao F, Edirisinghe EA, editors, Advanced Sciences and Technologies for Security Applications. Springer. 2022. p. 133-145. (Advanced Sciences and Technologies for Security Applications). doi: 10.1007/978-3-031-04424-3_8
Author
Bibtex
@inbook{0e2cb928b0a24a239cacb2b8b7487d2d,
title = "A Survey on AI-Enabled Pandemic Prediction and Prevention: What We Can Learn from COVID",
abstract = "COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city.",
keywords = "Artificial intelligence, COVID-19, Pandemic prediction, Pandemic prevention",
author = "Yijie Zhu and Richard Jiang and Qiang Ni",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.",
year = "2022",
month = sep,
day = "9",
doi = "10.1007/978-3-031-04424-3_8",
language = "English",
isbn = "978-3-031-04423-6",
series = "Advanced Sciences and Technologies for Security Applications",
publisher = "Springer",
pages = "133--145",
editor = "Richard Jiang and Ahmed Bouridane and Chang-Tsun Li and Danny Crookes and Boussakta, {Said } and Hao, {Feng } and Edirisinghe, {Eran A. }",
booktitle = "Advanced Sciences and Technologies for Security Applications",
}
RIS
TY - CHAP
T1 - A Survey on AI-Enabled Pandemic Prediction and Prevention
T2 - What We Can Learn from COVID
AU - Zhu, Yijie
AU - Jiang, Richard
AU - Ni, Qiang
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022/9/9
Y1 - 2022/9/9
N2 - COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city.
AB - COVID-19 pandemic spread quickly in Wuhan, China in December 2019. This destructive infection spread quickly all over the planet, causing enormous misfortunes of individuals and property. All over the planet, researchers, clinicians and legislatures are continually looking for new technologies to against the COVID-19 pandemic. The use of artificial intelligence (AI) innovation gives a better approach to battle the pandemic. This paper sums up the exploration and utilization of AI in forecast and avoidance of COVID-19 pandemics, and the possibility of AI innovation used to fight against the pandemic in the situation of smart city.
KW - Artificial intelligence
KW - COVID-19
KW - Pandemic prediction
KW - Pandemic prevention
UR - http://www.scopus.com/inward/record.url?scp=85138197474&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-04424-3_8
DO - 10.1007/978-3-031-04424-3_8
M3 - Chapter
AN - SCOPUS:85138197474
SN - 978-3-031-04423-6
T3 - Advanced Sciences and Technologies for Security Applications
SP - 133
EP - 145
BT - Advanced Sciences and Technologies for Security Applications
A2 - Jiang, Richard
A2 - Bouridane, Ahmed
A2 - Li, Chang-Tsun
A2 - Crookes, Danny
A2 - Boussakta, Said
A2 - Hao, Feng
A2 - Edirisinghe, Eran A.
PB - Springer
ER -
