Minimizing the usage of SARS-CoV-2 lab test resources through test pooling enhanced by classification techniques

Testing is an effective practice to limit the spread of SARS-CoV-2. PCR accurate method detect SARS-CoV-2 infected individuals, but lab test kits are scarce and expensive resources. Therefore, their usage should be optimized. in batch (pooling) a procedure that merges individuals’ swabs, allowing group diagnosis without affecting accuracy results. Savings on depend prevalence disease, pool composition, size. We propose novel approach for optimizing pooling minimize kits. show estimating probability individual being by means binary classifier leads improvements efficiency strategies. use simulation select components new strategy based evaluate our using real dataset.