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.
- Theresa Reiker
- Monica Golumbeanu
- Melissa A. Penny
