TY - JOUR T1 - An ACP Approach to Public Health Emergency Management: Using a Campus Outbreak of H1N1 Influenza as a Case Study JF - IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems & Humans Y1 - 2013 A1 - Duan,Wei A1 - Cao,Zhidong A1 - Wang,Youzhong A1 - Zhu,Bin A1 - Zeng,Daniel A1 - Wang,Fei-Yue A1 - Qiu,Xiaogang A1 - Song,Hongbin A1 - Wang,Yong KW - BIS KW - Business Analytics AB - In order to tackle the infeasibility of building mathematical models and conducting physical experiments for public health emergencies in a real world, we apply the ACP (Artificial societies, Computational experiments, and Parallel execution) approach to public health emergency management. We conducted a case study on the largest collective outbreak of H1N1 influenza at a Chinese university in 2009. We built an artificial society to reproduce H1N1 influenza outbreaks. In computational experiments, aiming to obtain comparable results with the real data, we applied the same intervention strategy as that was used during the real outbreak. Then we compared experiment results with real data to verify our models, including spatial models, population distribution, weighted social networks, contact patterns, students’ behaviors, and models of H1N1 influenza disease, in the artificial society. We then applied alternative intervention strategies to the artificial society. The simulation results suggested that alternative strategies controlled the outbreak of H1N1 influenza more effectively. Our models and their application to intervention strategy improvement show that the ACP approach is useful for public health emergency management VL - 43 CP - 5 U2 - a U4 - 69564794880 ID - 69564794880 ER - TY - JOUR T1 - Sentiment analysis of Chinese documents: From sentence to document level JF - Journal of the Association for Information Science and Technology Y1 - 2009 A1 - Zhang,Changli A1 - Zeng,Daniel A1 - Li,Jiexun A1 - Wang,Fei-Yue A1 - Zuo,Wanli KW - BIS VL - 60 CP - 12 U2 - a U4 - 86817697792 ID - 86817697792 ER -