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Epidemics on Large Networks - Phase Transitions and Survival Time

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

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Explore the dynamics of epidemic models on large-scale networks in this 47-minute lecture presented by Oanh Nguyen from Brown University at IPAM's Statistical Mechanics Beyond 2D Workshop. Delve into popular epidemic models such as Susceptible-Infected-Recovered-Susceptible (SIRS), SIS, and SIR, with a focus on phase transitions of survival time in both deterministic and random graph structures. Gain insights into recent advancements and unresolved questions in the field of epidemiology on complex networks.

Syllabus

Oanh Nguyen - Epidemics on large networks - IPAM at UCLA

Taught by

Institute for Pure & Applied Mathematics (IPAM)

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