DocumentCode :
65014
Title :
Heterogeneous and Stochastic Agent-Based Models for Analyzing Infectious Diseases´ Super Spreaders
Author :
Wei Duan ; Xiaogang Qiu ; Zhidong Cao ; Xiaolong Zheng ; Kainan Cui
Author_Institution :
Nat. Univ. of Defense Technol., Changsha, China
Volume :
28
Issue :
4
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
18
Lastpage :
25
Abstract :
The detection of super-spreading events in infectious disease is crucial for public health emergency response. Here, heterogeneous and stochastic agent-based models explore the mechanism of super-spreading events.
Keywords :
diseases; emergency services; stochastic processes; heterogeneous agent-based models; infectious diseases superspreader analysis; public health emergency response; stochastic agent-based models; super-spreading event detection; Computational modeling; Diseases; Emergency services; Load modeling; Mathematical model; Medical services; Pathogens; Stochastic processes; Computational modeling; Humans; Load modeling; Mathematical model; Pathogens; Stochastic processes; agent-based simulation; epidemiological models; public health emergency management; social networks;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.29
Filename :
6468033
Link To Document :
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