Optimizing Symptom Based Testing Strategies for Pandemic Mitigation

In this paper, a predictive-control-based approach is proposed for pandemic mitigation with multiple control inputs. Using previous results on the dynamical modeling of symptom-based testing, testing intensity introduced as new manipulable input to system model in addition stringency non-pharmaceutical measures. The objective minimization severity interventions, while main constraints are bounds daily number hospitalized people and total available tests. For design simulation, nonlinear containing 14 compartments used, where effect vaccination also taken into consideration. computation clearly show that optimization-based significantly reduces measures be reach goal fulfill prescribed constraints.