How Testing Reduces Infections and Prevents Herd Immunity: An SIR Model with Testing

28 Pages Posted: 21 Apr 2020

Date Written: April 16, 2020

Abstract

In this paper, I incorporate infection testing into the classic SIR model of epidemics and analytically illustrate how testing can reduce the reproduction number and the total number of infections in an epidemic. Testing identifies infected individuals and reduces their contact rate, and therefore, reduces the reproduction number of the disease, total infections and even prevents herd immunity. Costs of testing can be kept low if initially sufficiently many tests are conducted. Moreover, when testing is implemented as a sustainable suppression policy, other temporary suppression policies become complementary to the sustainable suppression policy - testing - and can reduce total infections over the epidemic.

Keywords: COVID-19, Testing, SIR Model, Herd Immunity

JEL Classification: C61, J19

Suggested Citation

Wang, Yikai, How Testing Reduces Infections and Prevents Herd Immunity: An SIR Model with Testing (April 16, 2020). Available at SSRN: https://ssrn.com/abstract=3577765 or http://dx.doi.org/10.2139/ssrn.3577765

Yikai Wang (Contact Author)

University of Essex ( email )

Wivenhoe Park
Department of Economics, University of Essex
Colchester, Essex CO4 3SQ
United Kingdom

HOME PAGE: http://yikaiwang.weebly.com

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
149
Abstract Views
884
Rank
497,070
PlumX Metrics