|
个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Prediction of Disease Dynamics with Structure Knowledge of Human Contact Networks
点击次数：
论文类型：会议论文
发表时间：2015-08-26
收录刊物：EI、CPCI-S、Scopus
页面范围：147-152
关键字：Disease Dynamics Prediction; Knowledge of Network Structure; Human Contact Networks
摘要：Recent studies show that the degree distribution of realistic contact networks impacts the prediction accuracy for disease dynamics during an epidemic. Based on the surveillance data of the Ebola outbreak in 2014, not only the basic structural knowledge degree distribution but also another structural knowledge clustering, affect the prediction accuracy for disease dynamics, and their impacts are different. In this paper, combining degree distribution with clustering, we design an new algorithm to predict disease dynamics with the improved accuracy. Based on our extensive experiments, we find that the structural knowledge (degree distribution and clustering) of contact networks is helpful to improve the prediction accuracy for disease dynamics, as compared with the algorithm that just considers the degree distribution of contact networks.