Before revision:  However, regular testing of every individual is expensive. We present an approach to pooled testing, based on the geometry of a hypercube , which enables fast, cost-effective identification of infected people when the prevalence of the virus is low .
After revision:  However, regular testing of every individual expensive. The costs are a challenge for all countries and particularly for developing countries. Cost reductions can be achieved by combining samples and testing them in groups. We propose an algorithm for grouping subsamples, prior to testing, based on the geometry of a hypercube , which enables fast, cost-effective identification of infected people when the prevalence of the virus is low .