Video URL

https://old.simons.berkeley.edu/talks/dynamical-survival-analysis-survival-models-epidemic

Dynamical Survival Analysis: Survival Models for Epidemic

(2022). Dynamical Survival Analysis: Survival Models for Epidemic. The Simons Institute for the Theory of Computing. https://old.simons.berkeley.edu/talks/dynamical-survival-analysis-survival-models-epidemic

Dynamical Survival Analysis: Survival Models for Epidemic. The Simons Institute for the Theory of Computing, Oct. 26, 2022, https://old.simons.berkeley.edu/talks/dynamical-survival-analysis-survival-models-epidemic 

          @misc{ scivideos_22842,
            doi = {},
            url = {https://old.simons.berkeley.edu/talks/dynamical-survival-analysis-survival-models-epidemic},
            author = {},
            keywords = {},
            language = {en},
            title = {Dynamical Survival Analysis: Survival Models for Epidemic},
            publisher = {The Simons Institute for the Theory of Computing},
            year = {2022},
            month = {oct},
            note = {22842 see, \url{https://scivideos.org/simons-institute/22842}}
          }
Grzegorz Rempala (The Ohio State University)
Source Repository Simons Institute
Subject

Abstract

Abstract 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.