Mathematical Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk

TL;DR

This paper presents a mathematical model to evaluate the trade-offs between profit, protection costs, and infection risk for businesses considering reopening during the SARS-CoV-2 pandemic.

Contribution

It introduces a novel combined differential equation and algebraic model to quantify infection risk and profit in business reopening scenarios.

Findings

Model effectively balances profit and infection risk.

Sensitivity analysis identifies key parameters affecting outcomes.

Case studies demonstrate practical application of the model.

Abstract

The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted in tremendous loss of human life and economy in more than 210 countries and territories around the world. While self-protections such as wearing mask, sheltering in place and quarantine polices and strategies are necessary for containing virus transmission, tens of millions people in the U.S. have lost their jobs due to the shutdown of businesses. Therefore, how to reopen the economy safely while the virus is still circulating in population has become a problem of significant concern and importance to elected leaders and business executives. In this study, mathematical modeling is employed to quantify the profit generation and the infection risk simultaneously from the point of view of a business entity. Specifically, an ordinary differential equation model was developed to characterize disease transmission and infection risk. An algebraic equation is proposed to determine the net profit that a business entity can generate after reopening and take into account the costs associated of several protection/quarantine guidelines. All model parameters were calibrated based on various data and information sources. Sensitivity analyses and case studies were performed to illustrate the use of the model in practice.