AI4Pandemics Talk#11: Amalie Dyada, The University of Queensland
Title: Associations between vaccine coverage and vaccine information exposure on Twitter
Abstract: Vaccination is a key public health measure to control the spread of vaccine preventable diseases, highlighted by the current COVID-19 pandemic. However, uptake of adult vaccination is influenced by a number of factors including awareness, perceived risk and safety, which may be affected by exposure to misinformation. With current high levels of social media use, many individuals may now be influenced by health information in this medium which can include exposure to vaccine misinformation. This seminar will describe a case study, using Human papillomavirus (HPV) vaccination as an example, of an investigation into associations between information people are exposed to on social media and levels of vaccination coverage and discuss future directions for research.
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.