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Displaying 1-4 out of 4 total
Technological Challenges in Emergency Response
Found in: IEEE Intelligent Systems
By Sharad Mehrotra,Xiaogang Qiu,Zhidong Cao,Austin Tate
Issue Date:July 2013
pp. 5-8
The guest editors discuss some recent advances in using intelligent systems for emergency management, as well as remaining technological challenges.
Heterogeneous and Stochastic Agent-Based Models for Analyzing Infectious Diseases' Super Spreaders
Found in: IEEE Intelligent Systems
By Wei Duan,Xiaogang Qiu,Zhidong Cao,Xiaolong Zheng,Kainan Cui
Issue Date:July 2013
pp. 18-25
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.
AI for Global Disease Surveillance
Found in: IEEE Intelligent Systems
By Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh Izadi, Aman Verma, Anya Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang
Issue Date:November 2009
pp. 66-82
<p>In this time of increasing concern over the deadly and costly threats of infectious diseases, preparation for, early detection of, and timely response to emerging infectious diseases and epidemic outbreaks are key public-health priorities and are ...
A Framework for Generating Geospatial Social Computing Environment
Found in: IEEE Intelligent Systems
By Rongqing Meng,Yuanzheng Ge,Zhidong Cao,Xiaogang Qiu,Kedi Huang
Issue Date:June 2014
pp. 1
Computational social science plays an important role in emergency management from a quantitative perspective. Reconstructing an individual-based social computing environment is crucial for both accurate computational experiments and determining optimal dec...