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 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.