Department of Mathematics Colloquium: Learning Trends of COVID-19 Using Model-Based Clustering, Sept. 27

The College of Arts & Sciences invite faculty and students to a program Monday, Sept. 27, with Semhar Michael, PhD., associate professor of Mathematics and Statistics at South Dakota State University. Michael will present “Learning Trends of COVID-19 Using Model-Based Clustering” at 3:30 p.m. in Hixson-Lied Science Building, Room 522.

FlierData on the number of confirmed COVID-19 related cases and deaths for European countries and the US states are explored.  The analysis of trends in the rates of cases and deaths is carried out jointly using a mixture of multivariate Gaussian non-linear regression models with a mean trend specified using a generalized logistic function.

The optimal number of clusters is chosen using the Bayesian information criterion. The resulting clusters provide insight into different mitigation strategies adopted by US states and European countries.