Speaker: Avinaba Mistry, University of New Brunswick

Date and Time: Wednesday, February 15, 2023 - 2:00pm to 3:00pm

Abstract

Analysis, prediction and decision support for contagion spread and its associated risk proves to be challenging in terms of incorporating the underlying heterogeneity of emergent spatio-temporal contact networks of the moving objects. Further challenges include keeping the granularity and scope of analysis of possible pharmacological and non-pharmacological intervention measures. To address these limitations, we explore an individual level agent based stochastic contagion simulation modelling framework in this talk. This framework utilises a contact-network between individuals that may be generated from an individual level mobility simulation or inferred from real world mobility data. The disease dynamics are simulated over the contact-network which provides a possible approach for adapting to rapidly changing and diverse contexts of contagion mitigation like that of SARS-CoV-2.