Infectious diseasesSpecimen Pooling to Conserve Additional Testing Resources When Persons’ Infection Status Is Correlated A Simulation StudyRewley, Jeffreya,b,cAuthor Information From the aCenter for Health Equity Research and Promotion, Crescenz VA Medical Center, Philadelphia, PA bNudge Unit, Perelman School of Medicine, Philadelphia, PA cLeonard Davis Institute, University of Pennsylvania, Philadelphia, PA. Submitted May 11, 2020; accepted July 22, 2020. This work is supported with resources and the use of facilities at the Crescenz Veterans’ Administration Medical Center, Philadelphia, PA. The authors report no conflicts of interest. Availability of code: The code to perform these simulation can be found at https://github.com/jlienert/simulatebatchtesting. Correspondence: Jeffrey Rewley, 3900 Woodland Ave, Philadelphia, PA 19104. E-mail: email@example.com. Epidemiology: November 2020 - Volume 31 - Issue 6 - p 832-835 doi: 10.1097/EDE.0000000000001244 Buy Metrics Abstract In the early stages of a novel pandemic, testing is simultaneously in high demand and low supply, making efficient use of tests of paramount importance. One approach to improve the efficiency of tests is to mix samples from multiple individuals, only testing individuals when the pooled sample returns a positive. To reflect potential clusters of cases that might queue at a testing site and that might increase the efficiency of batch testing, I simulate 10,000 persons being tested in sequence. I use a prevalence ranging from 1% to 45% and batch sizes ranging from 3 to 25 and assume the increased probability of consecutive infections ranges from 0% to 45%. I find that as the likelihood of clustered infections increases, the efficiency of specimen pooling increases. This analysis suggests that when clusters of infected persons exist at testing sites, specimen pooling can remain efficient even as prevalence increases. See video abstract: http://links.lww.com/EDE/B729. Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.