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Safer Stadia

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Safer Stadia

A Scientific Approach to Quantifying the Risk of COVID-19 Transmission

Introduction

In early 2020 COVID-19 emerged, affecting every aspect of our day-to-day lives. With so little known, private businesses and policy makers moved quickly to manage the spread of the virus.

Delaware North partnered with some of the brightest minds in math and science to better understand the risk of COVID transmission. The result of that effort is the Safer Stadia model; a tool that helps analyze the relative risk of various activities and how different safety measures can help reduce risk.


The Model

The Safer Stadia model calculates the risk of each sub-activity based on time, proximity, and density/distance. The risk score of each sub-activity is summed up to calculate the total risk of an event as a numeric value. That “risk score” is then compared to the score of other activities, like eating in a restaurant, flying on a plane, or going to the store to help understand the relative risk level of the activity in question.

The research that serves as a backbone for this model is outlined in two papers (see the Questions & Resources below), both of which have completed peer review.

The Researchers

John McCarthy, Ph.D
Chair of the Mathematics and Statistics department at Washington University in St. Louis.

Bob Dumas, Ph.D
Founder of Customer Marketing Group. He is a principle of Omnium, LLC and is a retired affiliate assistant professor at the University of Washington.

Johnny Valeriote
CEO of Omnium LLC, who has a master’s degree in computational mathematics from the University of Waterloo.

Myles McCarthy
Mathematics and Computer Science student at the University of Illinois at Urbana-Champaign.

Siena Ang
Centennial Fellow of Computational Biology and Computer Science at Princeton University

Questions & Resources

Linear Infection Model Whitepaper

Long Range v. Short Range Aerial Transmission

Inquiries

If you have any questions, or for more information, please email us at [email protected]