COMPLEXSYS Telegram 5655
DAMUT Colloquium | 28 Feb, 2024, 12:45 to 13:15
Department of Applied Mathematics, University of Twente (UT)

Consequences of Social Network Structure for Epidemic Interventions


Abbas K. Rizi (Aalto University)

Abstract:
The COVID-19 pandemic has highlighted gaps in our understanding of how epidemics spread and the limitations of simple models in real-world scenarios, particularly when it comes to understanding herd immunity. In this presentation, we will focus on how the structure of contact networks affects the spread of disease and the effectiveness of interventions. We will explore the impact of pharmaceutical interventions, such as vaccination, and non-pharmaceutical measures, like contact tracing, on the trajectory of epidemics. We will consider factors such as behavior-based homophily, group structures, spatial characteristics, and the heterogeneities of contact networks. Additionally, we will introduce an advanced theoretical framework for analyzing temporal dynamics in networks, which is crucial for understanding how diseases spread, how information is disseminated, and how public transportation systems are accessed over time. Finally, we will connect the concept of temporal network reachability with percolation theory, a significant concept in studying complex systems.

https://www.utwente.nl/en/eemcs/damut/damutcolloquium/
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DAMUT Colloquium | 28 Feb, 2024, 12:45 to 13:15
Department of Applied Mathematics, University of Twente (UT)

Consequences of Social Network Structure for Epidemic Interventions


Abbas K. Rizi (Aalto University)

Abstract:
The COVID-19 pandemic has highlighted gaps in our understanding of how epidemics spread and the limitations of simple models in real-world scenarios, particularly when it comes to understanding herd immunity. In this presentation, we will focus on how the structure of contact networks affects the spread of disease and the effectiveness of interventions. We will explore the impact of pharmaceutical interventions, such as vaccination, and non-pharmaceutical measures, like contact tracing, on the trajectory of epidemics. We will consider factors such as behavior-based homophily, group structures, spatial characteristics, and the heterogeneities of contact networks. Additionally, we will introduce an advanced theoretical framework for analyzing temporal dynamics in networks, which is crucial for understanding how diseases spread, how information is disseminated, and how public transportation systems are accessed over time. Finally, we will connect the concept of temporal network reachability with percolation theory, a significant concept in studying complex systems.

https://www.utwente.nl/en/eemcs/damut/damutcolloquium/

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