中科院数学与系统科学研究院

数学研究所

非线性分析研讨班

报告人：Prof. Haiyan Wang（Arizona State University , USA）   

题  目：Combining networks and partial differential equations to improve influenza predictions

时  间：2018.06.26（星期二），16:00-17:00

地  点：数学院南楼N820室

摘  要：The ever-increasing availability of geospatial data now open the possibility to use spatio-temporal models to more accurately predict patterns of movement and trends in human activities, epidemic spread, environmental changes and many other natural phenomena.  In this talk, we present an integrated framework for early detection of epidemic outbreaks based on real-time geo-tagged data in Twitter.  We combine network theory, data mining and partial differential equation models to describe/predict patterns of epidemic spread at regional level. In addition, I will discuss a number of mathematical problems including free boundary value problems and bifurcation problems arising from these applications.