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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.
 

 

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Highlights

 

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