Real-Time Epidemic Science

Challenges in Controlling Epidemics

Infectious diseases cause more than 13 million deaths per year worldwide. Rapid growth in human population and its ability to adapt to a variety of environmental conditions has resulted in unprecedented levels of interaction between humans and other species. This rise in interaction combined with emerging trends in globalization, anti-microbial resistance, urbanization, climate change, and ecological pressures has increased the risk of a global pandemic.


Our Approach

  • Our multidisciplinary team will work together to capture the complexities underlying infectious diseases and revolutionize real-time epidemiology.
  • We will provide new analytical capabilities to decision-makers, resulting in improved science-based decision-making for epidemic planning and response.
  • We will train the next generation of public health champions, equipping them with a variety of skills to address 21st-century epidemics.
  • Using AI and machine learning to develop simulations of multi-scale multi-layer (MSML) networks, we will provide fundamentally new insights into how epidemics can be controlled.


Check out our YouTube Channel for our





Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

8 Apr 2022


Quarantine and testing strategies to ameliorate transmission due to travel during the COVID-19 pandemic: a modelling study

10 Jan 2022


Virginia Tech researchers garner two major awards in COVID-19 forecasting challenges

29 Jan 2021


Georgia Tech Research Team Wins Two Covid-19 Challenges in One Week

7 Jan 2021