AI4Pandemics Talk #20: Lock Yue Chew, Nanyang Technological University
Title: Modelling COVID-19 Pandemic with Control Measures using a SEIR Multiplex Network Model
Abstract: In this talk, I will present a Susceptible-Exposed-Infectious-Removed (SEIR) model that exploits both multiplex and temporal networks to study the outbreak dynamics of coronavirus infectious diseases (COVID–19) in Singapore. Specifically, our multiplex network consists of a household network, a dormitory network, a workplace network, a temporal crowd network, and a temporal social gathering network. Our model has enabled us to emulate and tweak the different forms of real-world social interactions to study the spread of COVID–19 in Singapore by examining the dynamics of the reproduction number R0. Our approach demonstrates the potential effectiveness of various control measures against the spread of COVID–19 at different moments and stages of the pandemics.
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.