While multiple models exist for predicting the infection rates and plateaus of pandemics, they are generally limited by assumptions of all individuals having an equal probability of transmission. As a result the projections for infection rates tend to focus on larger geographic scales, such as states, resulting in an incomplete picture at a local level.

This talk by Adam Jaeger, assistant professor of mathematics and statistics, will introduce statistical modeling concepts relating to prediction of COVID rates at a county level and specifically introduce the notion of spatial correlation, which recognizes that there is a connection between county proximity and amount of social movement between areas.

This talk is the first of four in the Perspective on the Pandemic series. For more information, visit: https://www.wichita.edu/academics/fairmount_college_of_liberal_arts_and_sciences/News/PerspPand.php.

Zoom Meeting ID: 946 577 627

Call 316-978-6659 for the password.