MS Teams (please email email@example.com for the meeting link)
Zoya Abbasi | Applied Mathematics, University of Waterloo
Multi-Agent Epidemiological Modeling
In this research work, the characteristics of agents within multi-agent systems (MASs) will be brought to the forefront as the field of mathematical modeling is employed to gain insights into the behavior and spread of infectious diseases. An approach will be presented, where regions, such as cities, will be represented as autonomous agents, with emphasis placed on the unique properties and capabilities of these agents in epidemic modeling. This representation will enable a deeper understanding of epidemic dynamics by highlighting the collaborative efforts among these agents for resource allocation and policy decision-making, providing a holistic perspective on epidemic management. Additionally, a multilayer framework will be proposed, incorporating Physical Contact and Information Spread layers, tailored to demonstrate how agents' characteristics influence their interactions and, consequently, the dynamics of disease transmission. Throughout the examination, an assessment will be made regarding how the inherent attributes of agents in MASs can significantly enhance the capacity for responding to infectious diseases, ultimately contributing to more effective public health strategies.