Heterogeneous and Stochastic Agent-Based Models for Analyzing Infectious Diseases' Super Spreaders

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.

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Bibliographic Details
Published inIEEE intelligent systems Vol. 28; no. 4; pp. 18 - 25
Main Authors Duan, Wei, Qiu, Xiaogang, Cao, Zhidong, Zheng, Xiaolong, Cui, Kainan
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.07.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
agent-based simulation
Computational modeling
Disease transmission
Diseases
Emergency medical care
Emergency services
epidemiological models
Humans
Infectious diseases
Load modeling
Mathematical model
Medical services
Pathogens
Public health
public health emergency management
social networks
Stochastic models
Stochastic processes
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Summary: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.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2013.29