B2C2 Data Initiative Seminar

Presentation: Using Mathematical Models with Google Mobility Data to Predict COVID-19 in Arizona
Speaker: Haiyan Wang
Date: September 2, 2020
Time: 1– 2 pm MST, Zoom

Abstract: In June 2020, Arizona emerged as one of the country’s newest COVID-19 hot spots. In this talk, Dr. Wang will discuss a spatio-temporal forecasting model for COVID-19 cases with the help of human activity data from the Google Community Mobility Reports. The proposed model describes the combined effects of transboundary spread among county clusters and human activities on the spread of COVID-19. 

Speaker Bio: Haiyan Wang is a Professor of Applied Mathematics at the School of Mathematical and Natural Sciences at Arizona State University. He obtained his Doctor of Mathematics and Master of Computer Science at Michigan State University in 1997. Before coming to the West campus of ASU in 2005, Dr. Wang worked as a software engineer for many years. Dr. Wang’s research interests include applied mathematics, differential equations, mathematical biology and data science.

Kuai Xu

Kuai.Xu@asu.edu

https://newcollege.asu.edu/b2c2/events