AI4Pandemics Talk#9: Romesh Abeysuriya, Burnet Institute
Title: Long-term COVID-19 strategies with intermittent control measures
Abstract: The COVID-19 vaccines used in Australia have all demonstrated high efficacy against severe disease and death. However, multiple models have shown that the combination of imperfect protection against infection and more infectious variants means that Australia, and other countries globally, are unlikely to achieve herd immunity. A key question is therefore what control strategies are proportionate and sustainable, in a world with high vaccine coverage, no herd immunity, and ongoing importations of cases into the community from relaxed quarantine and increased travel. In this seminar, I will present a modelling study carried out by the Burnet Institute where we used the Covasim model to explore options for using intermittent measures to maintain long-term epidemic control.
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.