AI4Pandemics Talk#13: Jude Kong, York University
Title: The impact of social, economic, environmental factors on the dynamics of COVID-19
Abstract: The COVID-19 pandemic has reached a stage where there is now sufficient data to infer whether the basic reproduction number (R0) varies across countries, and what demographic, social, and environmental factors, other than interventions, characterize vulnerability to the virus. In this talk, I will present the first global estimate of R0 across all continents, and the results of a comprehensive investigation on what social, economic, and environmental factors characterize vulnerability to the virus. Understanding how space and time dependent factors predispose a community to a different COVID-19 rate of increase is essential to assessing the efficacy of interventions.
About AI4PAN Artificial Intelligence for Pandemics Seminar Series centred at UQ
Welcome to AI4PAN, the Artificial Intelligence for Pandemics group centered at The University of Queensland (UQ). The group's focus is the application of data science, machine learning, statistical learning, applied mathematics, computation, and other "artificial intelligence" techniques for managing pandemics both at the epidemic and clinical level.