Staggered Release Policies for COVID-19 Control: Costs and Benefits of Relaxing Restrictions by Age and Risk

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Type
Abstract

Lockdown and social distancing restrictions have been widely used as part of policy efforts aimed at controlling the ongoing COVID-19 pandemic. Since these restrictions have a negative impact on the economy, there exists a strong incentive to relax these policies while protecting public health. Using a multigroup SEIR epidemiological model, we explore the costs and benefits associated with the sequential release of specific groups based on age and risk from isolation. The results suggest that properly designed staggered-release policies can do better than simultaneous-release policies in terms of protecting the most vulnerable members of a population, reducing health risks overall, and increasing economic activity.

Bio
https://www.math.purdue.edu/~fengz

Image
flyer for Zhilan Feng talk

 

Description

MCMSC Distinguished Lecture and SoMSS Colloquium
Monday, October 5
12:00pm
ECA 221
Virtual via Zoom (email Fabio Milner for Zoom link)

Faculty host: Fabio Milner
Coffee and cookies will be served.

Note: Dr. Feng will also give talk at Prof Dev Seminar at 3:00pm.

Speaker

Zhilan Feng
Program Director - NSF, Math Biology
Emeritus Professor - Purdue University

 

Location
ECA 221