Name
Title | ||
|---|---|---|
Heterogeneous and Stochastic Agent-Based Models for Analyzing Infectious Diseases' Super Spreaders |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MIS.2013.29 | IEEE Intelligent Systems |
Keywords | Field | DocType |
public health emergency management,computational modeling,epidemiological models,stochastic processes,pathogens,diseases,super-spreading event detection,social networks,infectious disease,super-spreading event,mathematical model,humans,emergency services,public health emergency response,stochastic agent-based models,super spreaders,stochastic agent-based model,heterogeneous agent-based models,infectious diseases superspreader analysis,agent-based simulation,load modeling,infectious diseases | Public health,Social network,Load modeling,Computer science,Stochastic process,Management science,Infectious disease (medical specialty) | Journal |
Volume | Issue | ISSN |
28 | 4 | 1541-1672 |
Citations | PageRank | References |
5 | 0.42 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Duan | 1 | 8 | 1.96 |
| ZhiDong Cao | 2 | 67 | 15.12 |
| Kainan Cui | 3 | 27 | 3.93 |
| Xiaolong Zheng | 4 | 632 | 41.87 |
| Xiaogang Qiu | 5 | 149 | 20.35 |