Carl Bergstrom: "Proactive COVID-19 testing to mitigate spread"

Mathematical Models in Understanding COVID-19

"Proactive COVID-19 testing to mitigate spread"
Carl Bergstrom - University of Washington

Abstract: COVID testing can play a number of roles in a pandemic response: distinguishing between COVID and other causes for symptomatic patients, clearing individuals for elective medical procedures, surveillance for public health planning, and proactive testing of individuals not suspected to have disease to reduce disease spread and control an epidemic. In this talk, I look at the value of proactive testing using two different mathematical modeling approaches: a simple analytic approximation, and a detailed stochastic SEIR model on a multi-level network. Both models illustrate the value of proactive testing as a component of an infection control strategy.

Institute for Pure and Applied Mathematics, UCLA
August 12, 2020

For more information: https://www.ipam.ucla.edu/cov2020

Видео Carl Bergstrom: "Proactive COVID-19 testing to mitigate spread" канала Institute for Pure & Applied Mathematics (IPAM)