Forum 3: Mathematical Modeling and Geospatial Mapping

Authors

Chaim Goodman-Strauss, University of Arkansas, Fayetteville
Daniel Sui, University of Arkansas, Fayetteville

Streaming Media

Document Type

Video

Publication Date

5-13-2020

Keywords

virology, exponential growth, social distancing, post-pandemic

Abstract

In this session of the Pandemic forum, we view COVID-19 through the lens of mathematics and geography. Professor Chaim Goodman-Strauss ponders the bizarre nature of exponential growth and shows how social distancing flattened the curve of new cases, buying time for our health care providers to prepare for and manage the outbreak. Daniel Sui, Vice Chancellor Research and Innovation and Distinguished Professor of Geography, explores how COVID-19 mapping has laid bare the great health disparities between rich and poor, and considers what a post-pandemic world will look like. (Hint: It will not be business as usual!)

Comments

The captions accompanying these videos were generated automatically by YouTube software which may not accurately transcribe scientific, medical, and technical terms.

Citation

Goodman-Strauss, C., & Sui, D. (2020). Forum 3: Mathematical Modeling and Geospatial Mapping. Pandemic Course. Retrieved from https://scholarworks.uark.edu/hnrclepc/3