Dynamic SAFFRON: Disease Control Over Time via Group Testing

Group testing is an efficient algorithmic approach to the infection identification problem, based on mixing test samples and mixed instead of individually each sample. In this paper, we consider dynamic spread model that discrete SIR model, which assumes disease be over time via infected non-isolated individuals. our system, main objective not minimize number required tests identify every infection, but instead, utilize available, given capacity T at instance efficiently control spread. We introduce study a novel performance metric, coin as ϵ-disease time. This metric can used measure how fast algorithm disease. characterize individual SAFFRON-based group algorithm. present theoretical results implement proposed algorithms compare their performances.