Dynamical Survival Analysis: Survival Models for Epidemic

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=eQKiA_Ut0Kw


Duration: 1:08:10
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Grzegorz Rempala (The Ohio State University)
https://simons.berkeley.edu/talks/dynamical-survival-analysis-survival-models-epidemic
Epidemics and Information Diffusion

In the talk I will briefly outline the idea of the so-called dynamical survival analysis (DSA) which uses survival analysis methods to build approximate models of individual level epidemic dynamics by utilizing some well known mean-field approximations. I will show the DSA connection with classical agent based models for epidemics and also some frailty models that have been successfully applied to recent COVID-19 epidemic.



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Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Epidemics and Information Diffusion
Grzegorz Rempala