The battle against COVID-19 is a worldwide challenge unlike any in living memory. The Georgia Tech community has joined the fight, contributing our expertise, innovation, and indomitable spirit to the effort. Even as we remain committed to serving our students, faculty, and staff, we have accelerated our advancement of technology in response to our world's new reality.

VERA uses AI and ML to support interactive modeling of the spread of COVID-19: https://news.gatech.edu/2020/04/21/interactive-tool-helps-people-see-why-staying-home-matters-during-pandemic

To develop a disease spread model to estimate the number of Covid-19 infections, geographically and over time, and to support the state of Georgia’s decisions regarding testing resource needs estimate and allocation across various testing sites.

The goal of this project is to model the spatiotemporal dynamic of Covid-19 spread in healthcare settings to find the potential impact of spatial and temporal variables on virus spread. Variables include layout, circulation, materials, protocols, HVAC systems, and sunlight.

Researchers are preparing and disseminating population models to assess Covid-19 transmission risks in Georgia. These models are associated with different degrees of social distancing during the height of the pandemic, asymptomatic transmission intervals, and the role of shield immunity in enabling reintroduction of social interactions.

Media Mentions & Features

We propose to use machine learning approaches to predict the COVID-19 patients’ future disease progression/recovery with minimal human involvement and medical resources.