DocumentCode
1757335
Title
Tracking Infectious Disease Spread for Global Pandemic Containment
Author
Kwok-Leung Tsui ; Wong, Zoie Shui-Yee ; Goldsman, David ; Edesess, Michael
Author_Institution
City Univ. of Hong Kong, Hong Kong, China
Volume
28
Issue
6
fYear
2013
fDate
Nov.-Dec. 2013
Firstpage
60
Lastpage
64
Abstract
Simulation studies play a significant role in supporting pandemic disease scenario prediction and facilitating the understanding of how infectious diseases spread. This is of paramount importance for the anticipation, mitigation, and containment of pandemics. Disease-spread simulation models are often used to understand the effects of changes in citizen behavior or government policies, or to study disease outbreak parameters and mitigation-strategy features. Here, we focus on how to improve future global pandemic containment with the help of advanced artificial intelligence and simulation methods.
Keywords
artificial intelligence; diseases; health care; medical diagnostic computing; artificial intelligence; disease outbreak parameter; disease-spread simulation model; global pandemic containment; infectious disease; pandemic anticipation; pandemic disease scenario prediction; pandemic mitigation; Computational modeling; Diseases; Integrated circuit modeling; Sociology; Solid modeling; Statistics; AI; artificial intelligence; infectious diseases; intelligent systems; simulation; virus containment;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2013.149
Filename
6733224
Link To Document