Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria

Abstract

Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration challenging. Here, the authors propose a Bayesian optimization framework to calibrate a complex malaria transmission simulator.